RU2630741C1 - Self-adjusting interactive system, method and computer readable data medium of comment exchange between users - Google Patents

Abstract

FIELD: information technology.

SUBSTANCE: group of inventions refers to the technology of data exchange in social networks using client-server technology. Self-adjusting interactive system of comment exchange between users of at least one social network using client-server technology is proposed. The system contains an access module, a user profile creation module, a user device, a user profile reliability assessment module, a user interest analysis module, and a database. The user profile reliability assessment module is designed to calculate the user's rating, which shows the level of trust in this user's comments, the evaluation of the thematic content of comments and users' posts, depending on the users rating and/or personal users preferences.

EFFECT: creation of self-adjusting interactive system of comment exchange between users, which would allow to evaluate the trust in user comments through user rating and to block automatically a user with a low rating.

36 cl, 16 dwg

Description

Technical field

The invention relates to information exchange systems, in particular, in social networks, using client-server technology.

State of the art

The popularity of the Internet and social networks has caused the transfer of various interactions and tasks from the physical world to the digital world. For example, documents and folders that would be shared years ago by sending physical copies to other group members are now often processed electronically and transmitted digitally over the network. In such exchanges between group members, it is important to maintain a level of access control for members of different groups, especially if the groups cooperate with each other.

With the advent of the digital age, an activity that has not moved significantly from the physical world to the digital is the interaction of groups. In our daily lives, we interact with people on a regular basis and form social groups where we interact with various types of activities over time. However, in any social group, information is sometimes not shared with all members of the group or remains confidential. Everyone in a social group knows about each other, and these groups grow and change over time.

Many solutions are known from the prior art that reveal various principles of social networks, with the ability to view various content, send comments, post various marks, such as, for example, “like”, “dislike”, etc.

From the application US 2007/0179863 A1, published on 02.08.2017, a solution is known that provides travelers with the opportunity to receive travel advice, as well as to obtain information from other users using a social network with a collective mind.

From the application US 2014/0181693 A1, published on 06/26/2014, a solution is known that reveals a cross-platform system for managing online communities.

From the application US 2012/254149 A1, published on 10/04/2012, a solution is known that reveals an automated way to search for brands, depending on their rating, which allows, among other things, to increase the website’s rating, depending on the rating of the brands represented on it.

From the application US 2008/109491 A1, published on 05/08/2008, a solution is known aimed at creating a user reputation profile on several Internet communities, this user reputation profile displays the user's reputation, trust, user contribution to the subject area.

From the application US 2009/164446 A1, published June 25, 2009, a solution is known that discloses an automated system aimed at increasing the ranking of a website depending on the opinions of users.

However, these solutions do not provide verification of user reliability and automatic blocking of users if they give false comments and have a low rating.

In addition, the browser extension (plugin) CoverWeb, http://coverweb.org/, is known in the art. This plugin allows users to leave comment notes on any website. At the same time, neither the website moderators, nor third-party censors, nor even the creators of CoverWeb themselves, can influence either the content or the fact of the existence of these comments. There is only one limitation, these notes will be visible only to those who also have an instance of CoverWeb installed.

However, when using this plugin, users have no way to analyze the comments of other users (like / dislike). For example, you cannot see the previous comments of users that you saw on a particular web page, that is, you add friends, but you cannot see their past. In addition, this plugin does not provide verification of user reliability and automatic blocking of users if they give false comments and have a low rating.

From the application US 2007/0027992 A1, published 01.02.2007, a system for rating messages and users is known. In this system, it is possible for the user to evaluate the messages of other users, in terms of classification or reputation. At the same time, messages from the sender, classified as not authoritative, may be presented as unwanted by the filtering system. However, this system does not provide an assessment of user reliability, depending on specific rules established by other users, as well as automatic blocking of the user if the user gives false comments and has a low rating.

Thus, the problem of creating a self-tuning interactive system for exchanging comments between users on web pages remains unresolved, which allows you to leave comments on any web pages, contact other users according to your circle of interests, evaluate the reliability of user profiles by rating the users themselves and automatically block low rated users.

The way out of this situation may be the creation of such a self-adjusting interactive system for exchanging comments between users on web pages, using client-server technology, which would allow assessing confidence in user comments by evaluating user ratings and automatically blocking users with low ratings.

Disclosure of invention

The technical result of the present invention is to create a self-tuning interactive system for exchanging comments between users on web pages, using client-server technology, which would allow to evaluate confidence in user comments through user ratings and automatically block a user with a low rating.

This technical result is achieved due to the fact that a self-tuning interactive system for exchanging comments between users of at least one social network using client-server technology includes:

- an access module providing user access to said system in case of successful authentication in said system;

- the module for creating a user profile associated with the access module, while the module for creating a user profile is intended to provide the user with a view:

- comments of other users and / or his own,

- the number of subscribers the user is subscribed to,

- information about the user, including at least the user name, user rating, which is the level of reliability of the user profile;

- a user device associated with the access module and the profile creation module, wherein the user device is intended for the user to enter information necessary for authentication in the said system, navigate at least one web page, enter user comments;

- a user profile reliability assessment module associated with a profile creation module and a user device, wherein the reliability assessment module is intended for:

- calculating a user’s rating, which shows the level of trust in the comments of that user;

- assessment of thematic content of user comments and posts, depending on the rating of users and / or personal preferences of users;

- selective display for users of certain comments, posts, information about goods and / or services, based on the aforementioned assessment;

- blocking comments of at least one user with a low rating if at least one user with a high rating marks the comments of this user as unreliable or offensive, and / or blocking user comments for the rated thematic content if the user rating is less than the threshold value ;

wherein the user rating includes at least the following:

points received by the user for each comment, points for reporting a danger,

points for the user's response to the question addressed to him,

points for a positive or negative rating by a user of another user's information,

points for the user sharing information with other users in a social network and referring to it in another social network,

points for indicating by the user that he likes another user;

- a user interest analysis module associated with a user profile reliability assessment module, a user device and a user profile creation module, wherein the user interest analysis module is intended to:

- analysis of web pages of interest to users, user accounts, while the analysis of web pages includes an assessment of the popularity of the data posted on the web pages among other users;

- rating the website, depending on the number of positive feedback from users about the goods and / or services offered on these web pages;

- rating popularity of goods and / or services and / or news presented on websites, depending on the aforementioned website rating, and depending on the user's rating;

- selective display and grouping of thematic content containing at least comments, posts, thematic data posted on websites based on at least personal preferences and / or interests of users;

- a database associated with a user interest analysis module, a user profile reliability module and a profile creation module, wherein the database is intended to store at least the following: user profiles, user browsing histories of web pages, user comments, user ratings, ratings of goods and / or services and / or news, ratings of websites, priorities for displaying thematic content for users.

In a particular embodiment, the user profile reliability assessment module is also configured to determine whether comments on a particular topic are professional comments or not, depending on the user's rating.

In another particular embodiment, said module for assessing the reliability of a user’s profile is configured to reduce the rating by a certain number of points if the comment of this user is marked as dangerous by at least one user with a higher rating.

In another particular embodiment, said user profile reliability assessment module is further configured to generate a list of users who have received warnings from other users, and the reliability assessment module is configured to block this user if this user has received a certain number of warnings, and not be allowed to comment by this user any web page and / or website.

In another particular embodiment, said module for assessing the reliability of a user profile is configured to block the user on an ongoing basis in the event that he has a large number of warnings.

In another particular embodiment, said user profile reliability assessment module is additionally designed to automatically check comments for the presence of offensive words or expressions in them.

In another particular embodiment, an increase in the number of positive feedback from users about products and / or services offered on websites is directly proportional to the increase in the rating of these websites and directly proportional to the output of these websites to the TOP search engines.

In another particular embodiment, web page ratings are assigned based on the popularity of the data posted on the web pages among other users.

In another particular embodiment, the interest analysis module is configured to selectively display and group thematic content containing at least data on goods and / or services and / or news, based on at least one of the following parameters:

- user rating;

- website ranking;

- dates of user registration in the system;

- the number of positive feedback from users;

- age, gender of users;

- the availability of photo and video data attached to user comments.

In another particular embodiment, the user interest analysis module is further configured to collect statistical information including at least information on the number of comments left by users with respect to goods and / or services, thematic content.

In another particular embodiment, the user’s interests analysis module is additionally configured to collect advanced statistical information, including at least information about in which age categories certain products and / or services are popular, thematic content, information about which regions in the country and / or countries give preference to certain goods and / or services, thematic content.

In another particular embodiment, the user’s interests analysis module is additionally configured to display to the user, in response to his thematic request, user comments on this topic, grouped by user rating and / or rating of goods and / or services and / or website rating .

In a particular embodiment, the user’s interests analysis module is additionally configured to select and provide the user with thematic content, depending on the popularity rating of users of certain goods and / or services.

In another particular embodiment, the system further comprises a notification module associated with the user device and the database, wherein the notification module is intended to notify the user of new comments by other users, to notify about points put down by other users in response to the comments of this user, and is also intended to view comments from other users.

In another particular embodiment, the said notification module notifies users of new comments by means of the corresponding comment icon, which becomes transparent when the web page is scrolled, and appears again if the user hovers over it or scrolls the web page up, while this icon comments displays the number of comments on a particular web page, and when you hover over an object on this web page, the number of comments on this object.

In a particular embodiment, the system further comprises a moderator user device and a supervisor user device configured to comment on any web pages, rate web pages, and rating users.

In another particular embodiment, the system further comprises a module for evaluating user commenting activity, wherein the user rating is further based on the level of user commenting activity.

The technical result is also achieved due to the fact that the method of exchanging comments between users on web pages through a self-tuning interactive system for exchanging comments between users in at least one social network using client-server technology, the method includes the steps , where:

- through the user device, the user enters information for authentication in the said system, and in case of successful authentication, the access module provides user access to the said system;

- by means of the user device, the user is provided with navigation on at least one web page, input of his comments, while by means of the user profile creation module, the user profile is created, the user is provided with the user’s comments of other users and / or his own number of subscribers to which the user is subscribed, information about the user, including at least the user name, user rating, which is the level of reliability of the user profile A;

- using the module for analyzing user interests, they analyze the web pages and user accounts of interest to the user, while the analysis of web pages includes an assessment of the popularity of the data posted on the web pages among other users;

- using the module of interests of the user, the web pages are rated, depending on the number of positive feedback from users about goods and / or services and / or news offered on these web pages;

- using the module of interests of the user, they rate the goods and / or services and / or news presented on the websites, depending on the aforementioned website rating, and depending on the user's rating;

- using the module of user interests, priorities are set for displaying and grouping thematic content containing at least comments, posts, thematic data posted on websites based on at least personal preferences and / or interests of users;

- through the user profile reliability assessment module, a user rating is calculated that shows the level of trust in the comments of that user;

- through the module for assessing the reliability of the user profile, the thematic content of comments and posts of users is evaluated, depending on the rating of users and / or personal preferences of users, and priorities are set for users to display certain comments, posts, information about goods and / or services and / or news based on the aforementioned rating;

wherein the user rating includes at least the following:

points received by the user for each comment,

hazard reporting points,

points for the user's response to the question addressed to him,

points for a positive or negative rating by a user of another user's information,

points for the user sharing information with other users in a social network and referring to it in another social network,

points for the user indicating that he likes another user,

at the same time, they store in the database at least the following: information about user profiles, user visits to web pages, user comments, user ratings, ratings of goods and / or services and / or news, website ratings, display priorities thematic content for users;

- using the user profile reliability assessment module, block comments of at least one user with a low rating, if at least one user with a high rating marks this user’s comments as unreliable or offensive, and / or blocks user comments for the rated thematic content if the user rating becomes less than the threshold value.

In a particular embodiment, using the user profile reliability assessment module, it is determined whether the comments on a particular topic are professional comments or not, depending on the user's rating.

In another particular embodiment, using a user profile reliability assessment module, a rating is reduced by a certain number of points if that user's comment is marked as dangerous by at least one user with a higher rating.

In another particular case, with the help of the user profile reliability assessment module, a list of users who have received warnings from other users is additionally generated, while this user is blocked using the reliability assessment module if the user has received a certain number of warnings, and this prohibits commenting on this user of any web page and / or website.

In another particular embodiment, using the user profile reliability assessment module, the user is blocked on an ongoing basis, in case he has a large number of warnings.

In another particular embodiment, using the module for assessing the reliability of a user’s profile, comments are automatically automatically checked for the presence of offensive words or expressions in them.

In another particular embodiment, an increase in the number of positive feedback from users about goods and services offered on websites is directly proportional to the increase in the rating of these websites and directly proportional to the output of these websites to the TOP search engines.

In another particular embodiment, using the module of interest analysis, selective display and grouping of thematic content is carried out, containing at least data on goods and / or services and / or news, based on at least one of the following parameters:

- user rating;

- website ranking;

- dates of user registration in the system;

- the number of positive feedback from users;

- age, gender of users;

- the availability of photo and video data attached to user comments.

In another particular embodiment, using a user interest analysis module, statistical information is collected, including at least information on the number of comments left by users in relation to goods and / or services, and thematic content.

In another particular embodiment, using the module for analyzing the interests of the user, extended statistical information is collected, including at least information about in which age categories certain products and / or services are popular, thematic content, information about which regions in the country and / or countries give preference to certain goods and / or services, thematic content.

In another particular embodiment, using the user’s interests analysis module, the user, in response to his thematic request, displays user comments on this topic, grouped by user rating, product and / or service rating, website rating.

In another particular embodiment, with the help of a user’s interests analysis module, thematic content is selected and provided to the user, depending on the popularity rating of the user of certain goods and / or services and / or news.

In another particular embodiment, using the notification module, they notify the user about new comments by other users, about the points put by other users, in response to the comments of this user, and also provide the user with the opportunity to view the comments of other users.

In another particular embodiment, using the notification module, notify the user at least: about new comments of other users, about points put down by other users in response to user comments on the interests chosen for him.

In another particular embodiment, using the notification module, users are notified of new comments by other users, of the points put by other users in response to the comments of this user, and they also provide the user with the possibility to view the comments of other users with whom he has interests.

In another particular embodiment, using the notification module, they notify users of new comments by means of the corresponding comment icon, which becomes transparent when the web page is scrolled, and appears again if the user hovers over it or scrolls the web page up, while this icon comments displays the number of comments on a particular web page, and when you hover over an object on this web page, the number of comments on this object.

In another particular embodiment, using the moderator user device and the supervisor user device, they create comments for any web pages, give ratings to web pages, and points to users.

In another particular embodiment, the user commenting activity level is evaluated using the user commenting activity assessment module, and the user rating is further based on the user commenting activity level.

The technical result is also achieved due to the fact that the computer-readable storage medium containing computer-readable instructions that, when executed, implement the steps of the above methods.

Brief Description of the Drawings

The claimed group of inventions is illustrated by drawings, where:

FIG. 1 shows a block diagram of a claimed system according to an independent clause.

FIG. 2 shows a block diagram of the claimed system containing additional modules.

FIG. 3 shows a sequence of steps of the claimed method according to an independent claim.

FIG. 4, FIG. Figure 5 shows a graphical representation of the comment icon in the right corner of the browser, as well as a representation of the small Renteres symbol icon at the end of the URL in the browser panel.

FIG. 6, FIG. 7 display the comment icon.

FIG. Figure 8 shows exemplary options for Renteres windows in case a user clicks on an icon or comment bubble.

FIG. 9, FIG. 10 show example options for creating an account in the system.

FIG. 11 shows exemplary options for windows displaying user comments on a web page, while the user has the opportunity to add his own comment, and the user can edit his profile, as well as exit.

FIG. 12 shows an exemplary embodiment of a system screen containing a user profile interface, the number of people following the user, the number of people followed by the user, user rating, basic user information — image, name, nickname.

FIG. 13 shows profile editing options: changing personal data, image, name, status, etc.

FIG. 14 shows exemplary system screens comprising user subscribers and user subscriptions.

FIG. 15 displays the ability to subscribe to another user you like, as well as the ability to read this user, view his subscribers and subscriptions.

FIG. 16 shows an exemplary embodiment of calculating a user rating in the Renteres system.

Description of Embodiments

The following is a description of exemplary embodiments of the claimed inventions with reference to the drawings. However, the present invention is not limited to these embodiments only. It will be apparent to those skilled in the art that other variations fall within the scope of the claimed group of inventions described in the claims.

As shown in FIG. 1, the claimed system comprises an access module 1, a user profile creation module 2, a user device 3, a user profile reliability assessment module 4, a user interest analysis module 5, a database 6. In this case, the user device 3 is connected to the access module 1, the profile creation module 2, a user interest analysis module 5 and a user profile reliability assessment module 4. A profile 2 creation module is further connected to an access module 2, a user interest analysis module 5, a reliability assessment module STI user profile database 4 and 6. The module reliability evaluation user profile 4 is further connected to the user's interests analysis module 5 and a database 6. The user interest analysis module 5 is further connected with a database 6.

Additionally, as indicated in FIG. 2, the claimed system comprises a user device of a supervisor 8 and a user device of a moderator 9, each of which is associated with a module for creating a user profile 2, a database 6, a user device 3 and a module for assessing the reliability of the user profile 4. The system also further comprises a notification module 7, which connected to database 6 and user device 3.

The claimed system works with 3 user devices, such as desktop computers, laptops, netbooks, personal assistants, which can work with various web browsers, for example, such as Chrome, Opera, Firefox, IE, Safari. This system can also work with user devices, such as smartphones and computers with operating systems IOS and ANDROID, WINDOWS, etc.

The user can have a registration and account in one or more social networks, for example, such as Odnoklassniki, Facebook, Twitter, VKontakte, etc. The user can be registered in all social networks and have his own profile. In these networks, each user can be a member of one or more groups, can create his own group, communicate with other users. All users can comment and view comments on any web page on the Internet without receiving the appropriate permission of the moderator of the web pages and / or websites viewed by the user, as well as make comments, for example, to photos, videos, music, etc. other users.

If the user does not have an account in the above social networks, then he must register using access module 1. Moreover, after registering the user, the module for creating profile 2 of the claimed system creates the corresponding user profile. The module for creating user profile 2 is associated with access module 1 and is intended to provide the user with a view: comments of other users and / or his own, the number of subscribers the user is subscribed to, information about the user, including at least the user name, user rating, representing the level of reliability of the user profile. The user profile contains information about the user: name, avatar, user rating, which includes an assessment of the reliability of the user profile. A user profile can also store a list of social networks in which a given user is registered, his preferences, a list of friends of this user, information about groups in which this user is a member, etc.

Entrance to the claimed system is carried out in a quick and convenient way. To do this, the user must log in from his user device 3 into one or more social networks, which automatically provides access to the claimed system. Access module 1 provides user authentication. Authentication can be carried out by any methods known in the art, for example, by login and password.

After successful authentication, the user profile creation module 2 creates a user profile. The user profile is intended to provide the user with the view: comments of other users and / or his own, the number of subscribers the user is following, information about the user, including at least the user name, user rating, which is the level of reliability of the user profile.

After entering the system, the user is given the opportunity to visit to browse, scroll (scroll) various web pages. The user can also comment on any web pages, rate web pages and users. To comment on web pages or visit web pages, the user can use the keys on the keyboard of his user device, or the mouse, etc.

If the user has an account on social networks, then the claimed system can connect not only to his friends contained in the user’s profile, but also to other users who are not his friends. The system also allows you to communicate with users of social networks not by name, but by circle of interests, allowing the user to correspond with them (for example, fans of a Mercedes car, etc.). Using this system for a smartphone or computer using social networks, the user can leave any comment on a topic of interest to that circle of users who are interested in this topic.

The system has a module for evaluating the reliability of user profile 4, associated with the module for creating a user profile 2 and user device 3. The module for evaluating the reliability of user profile 4 calculates the user rating, evaluates thematic content of user comments and posts, depending on the rating of users and / or personal preferences users, selectively displays for users certain comments, posts, information about goods and / or services, based on the aforementioned assessment, and also blocks the possibility of commenting on users, depending on various parameters, which are discussed in detail below. User rating shows the level of trust in the user's comments. The system, using the module for assessing the reliability of user profile 4, generates an R rating for each user (see Fig. 16), which allows you to determine the trust and seriousness of the comments of this user. The purpose of creating a user rating is to determine its reliability.

The user rating R is obtained based on at least the following:

points received by the user for each comment, points for reporting a danger,

points for the user's response to the question addressed to him,

points for a positive or negative rating by a user of another user's information,

points for the user sharing information with other users in a social network and referring to it in another social network,

points for indicating by the user that he likes another user

The specialist is clear that the rating may additionally include other estimates of user actions.

In the particular case, the user rating R can be determined by the following formula:

R = C + F + RE + L + U + S + FR, where:

R (RAITING) - rating showing the level of users, i.e. its reliability, activity, etc.

C (GIVE COMMENTS) - points assigned to the user if he went to his web page or the web page of another user, and answered the comments of other users or left his review (comment), etc. For example, Alice entered the Odnoklassniki social network or Facebook, after which she uploaded information about the recipe for one salad. Alice's friends or other users who are not Alice's friends left their comments on this recipe. Alice can answer one of the comments that interested her, or all comments. For each review or comment to this user, i.e. Alice, the system assigns, for example, 2 points. It should be noted that a different number of points for the same actions may be assigned. The system assigns such a number of points or a different number of points to each user who left a comment on the information of another user, i.e. on Alice’s note with a salad recipe.

F (Flag) - points assigned to the user for reporting a danger or problem. For example, a 14-year-old girl Alice comes in and sees that another user Boris wrote that she is fat. This message is regarded as bad and dangerous. If Alice herself or another user, for example, Oksana, Alice's friend, sets a flag that the message is dangerous and informs the administrator about it, then the user who left this flag, i.e. Alice or Oksana, for example, gets eight points only if the other two users report the same violation, for example, other users of Sveta and Ivan, who can be Alice's friends.

At the user, i.e. Boris, whose comment is flagged to indicate that the message is incorrect and dangerous, by more than two users, the rating is reduced by a certain number of points. In the private version, 15 points are deducted, i.e. a fine is given and a warning is issued to him. It should be noted that a different number of points can be deducted. The above balls are given as an example only.

RE (recoment) - points for the fact that the user gave an answer to a specific question addressed to him. For example, user Alice asked another user, Ivan, “Would he like to go to the museum on Tuesday next week?” Ivan answered this question "I can’t, I'm busy at work." For the response left to the user, i.e. Ivan, is awarded, for example, 2 points. It should be noted that any other number of points than the above may be awarded.

L (like) - the number of points for the fact that the user rated the information of another user positively. For example, user Oksana posted on her web page a photo with her friends, taken to her while walking with friends in the park. Her friend Alice liked this photo, and she put, for example, a like icon (like) on this photo. For this action, the user Alice is added, for example, 5 points. It should be noted that a different number of points may be added. The above balls are given as an example only. Thus, the system each time adds a certain number of points to the user whose comment received positive feedback.

U (unlike) - the number of points for the fact that the user rated the information of another user negatively. For example, Alice posted a photo from a party. However, Oksana did not like this photo. She gives a negative comment or puts an unlike icon. For this, the system subtracts, for example, 1 point to the user who received a negative review, i.e. Alice.

S (Share) - the number of points for the fact that the user shared information in one of the social networks and refers to it in another social network. For example, Alice shared information about a quarter in the Renteres system and then refers to it in another system, for example, VKontakte. Then users of another system can see this information posted on Renteres. For this action the user, i.e. Alice, added, for example, 10 points. It should be noted that a different number of points may be awarded. The above figure is given as an example.

FR (follow renteres) - the number of points for indicating that the user likes another user, while he can follow his comments. For example, Alice likes Ivan, she notes this on his web page. Now she can track Ivan’s web page and watch his web page, downloadable content, such as photos, videos, etc. For this action, user Alice receives three points. Such a number of points can be awarded to the user who is being watched, i.e. To Ivan.

It should be noted that from the moment of registration, each user receives points, which are determined by the frequent use of the system by the user, which means the more the user will use the capabilities of the claimed system (comments, like / dislike buttons, report dangerous and offensive comments and etc.), the greater the reliability of this user. For example, a user leaving a message on the network receives 2 points, which are added to his rating. Each user can receive a total of, for example, 100 points when receiving an account.

The user interests analysis module 5 of the claimed system analyzes the user’s interests of web pages and user accounts. This module analyzes the pages of visiting websites and determines the web page itself, on which the user viewed and / or browsed links on websites. This determination is based on the URL and / or any other element that the developer of this system automatically selects. The analysis of web pages includes an assessment of the popularity of the data posted on the websites among other users, as well as rating the web pages, depending on the number of positive responses about the goods or services offered on these websites. By means of the aforementioned module for analyzing the interests of the user 5, the popularity rating of goods and / or services and / or news presented on the websites is also carried out, depending on the aforementioned website rating, and depending on the user rating. And also, the module for analyzing the interests of user 5 performs selective display and grouping of thematic content containing at least comments, posts, thematic data posted on websites based on at least personal preferences and / or interests of users.

In the system, database 6 stores at least user profiles, user visits to web pages, user comments, ratings of all registered and / or authorized users, ratings of goods and / or services and / or news, ratings of websites, priorities display thematic content for users. It should be noted that information about user activity is stored in database 6 even if the user visits the website without leaving comments.

The notification module 7 notifies users of new comments by other users, of the points put by other users, in response to the comments of this user, and also provides the user with the possibility to view the comments of other users with which he has interests. This module 7 provides users with alerts about new comments by other users, alerts about various marks such as, for example, “like”, “dislike”, in response to user comments on the interests chosen for him. The notification module 7 gives the user the opportunity to see specific comments of other users who have visited this website (or this page of the website), as well as use the messenger of the downloaded program to communicate with other users online. In addition, any information left by the user in the messenger of the downloaded program allows other users to read it at any time. Thus, the system allows the user to get specific answers to any questions posed by him.

It should be noted that the comments left by the user are not on the website with which they are associated, but are located in the database 6 of the claimed system. Consequently, the website moderator can in no way affect the control of messages left, cannot delete and correct them. The system also provides that the user can leave options for assessing the quality of goods and services provided by various suppliers, for example, online stores, on various pages of the website, using rating options such as: Like, Dislike, Share, etc. d.

The user does not have to be at a specific location on the website to comment and share their opinions. To do this, he, with his personal account, needs to connect to the system and view everything that is interesting to him there. At the same time, regardless of the owners of the website, the user can leave comments and share their thoughts on the platform of this system.

Now will be described the sequence of operation of the claimed system, which corresponds to the steps of the claimed method.

As shown in FIG. 3 and previously mentioned with reference to FIG. 1, the user first goes through the authentication phase in the social network (step 1, FIG. 3). To do this, the user using the user device 3 enters his username and password to enter one of the social networks. If the user does not have registration in the social network, then he must go through the registration stage (not shown in Fig. 3).

In case of successful authentication in the social network, access module 1 provides user access to the comment exchange system (step 2 in Fig. 3). After successful authentication, the user gets to his web page or to another web page that the user selected. While on his own web page or other web page (step 3 in Fig. 3), the user can visit and view other web pages, enter his comments on the web pages of other users or the web pages of suppliers of goods or services, if he is interested certain content, video, photo or any discussion, for example, on a forum. The user can also view comments of other users, view subscriptions and subscribers.

While online, the user interest analysis module 5 constantly analyzes the web pages of interest to each user, objects (content, comments, etc.) posted on these web pages, user accounts (step 4 in Fig. 3). Also, the user profile reliability assessment module 4 calculates the rating of each user, which shows the level of confidence in the comments of this user (step 5 in Fig. 3). The rating calculation method is described in detail above. Based on the calculated rating, the reliability of each user’s profile is determined. Based on the rating received, module 4 can block the comments of a user with a low rating if at least one user with a high rating marks the comments of this user as unreliable or offensive (step 6 in Fig. 3).

The method described above will be illustrated in more detail with a specific example. The user Liron1985, as shown in FIG. 9, 10, logs in by entering your username or password. After that, this user gets to his web page, where he can perform various actions. In FIG. 11, FIG. 12 shows some of the features of the Liron1985 user in the system. He can leave comments, view comments of other users, see the number of comments on his posts, see the number of his subscribers, and the number of people who follow him (Fig. 14, Fig. 15).

In FIG. Figure 16 shows an example of the Liron1985 user interface, which allows the Liron1985 to see the number of users that are following it, the number of users that it is following, the number of messages that user has received, the total number of comments from Liron1985.

The user Liron1985, the first time he logs in, is awarded 100 rating points. Further, this user can increase or decrease his rating.

For example, a user Liron1985 gets 2 points to his rating, if he leaves a comment, gets 5 points to his rating if he likes a user, gets 10 points if he shares information with another user. All these charges are carried out by the user reliability assessment module 4.

As an example, consider a case where a user of Liron1985, while navigating through the pages of social networks, went to his car-related website. On this website, Liron1985 left 10 comments, with answers to various questions, thereby adding another 20 points to his rating of 100 points. Also, Liron1985 made a repost with a link to the website he liked about automobile topics on the social network VKontakte, thereby earning another 10 points to his rating. The user Liron1985 on the car website subscribed to Alex user updates and liked his comments, having received, thereby, 10 more points to his rating.

User Alex, being a user of Renteres system for about a month, has a rating of about 5500 points. Alex is one of the moderators of the Renteres system. He follows the comments of other users, especially "newbies", such as Liron1985. After reviewing the comments and user profile of Liron1985, the user Alex subscribed to the "newbie" updates and liked him, thereby receiving another 10 points.

While navigating the web pages, our "newcomer" Liron1985, went to the website dedicated to the remote selection of clothes, where Internet users can buy clothes selected for them. Liron1985 goes to the web pages of this website, which contains photographs of women in clothing sold on this website, and leaves one comment for Helen and one comment for Rita. The comments contain information that the clothes in which the women are placed in the photographs are full of them. And also, Liron1985 puts ten “dislike” marks on Helen’s photo, five “dislike” marks on Rita’s photo. Further, moderators Alex and Tony, with a rating of more than 5000 points, flag these messages and view them. Moderators Alex and Tony acknowledged two comments flagged as dangerous by the flags, and the rating of Liron1985 decreased by another 30 points. Liron1985 receives 17 warnings from moderators Alex and Tony, and also loses 15 rating points for “dislike” marks. Thus, “thanks to” his actions, the Liron1985 user has already lost 45 rating points, and now his rating is 85 points. If this user continues to leave messages of negative and dangerous content, then his rating may drop to an even lower value, and he will receive even more warnings. After a user’s rating drops below, for example, 30 points, and the number of warnings he reaches, for example, 150, the Renteres system, and, in particular, the user profile reliability module 4 will block Liron1985 and he will also be prohibited from commenting any web page. At the same time, at least a moderator Alex, with a high rating, will be able to decide on blocking the user Liron1985. It will be apparent to those skilled in the art that locking can be performed not only after being indicated by one or two users, but also after being indicated by any large number of users.

When the number of warnings for the Liron1985 user is more, for example, 200, the Renteres system will block it permanently.

The system checks all comments for the presence of offensive words, words with profanity, swearing and swear words. This check is carried out on the basis of the dictionary available in the system, database 6, which are continuously updated.

The method of exchanging messages in the Renteres system additionally provides the ability for users to comment on the selection of certain goods or services presented on web pages.

For example, a Helen user often visits a website that provides an electronic version of a catalog of clothing as well as home goods. On this website, the user has the opportunity to select products according to many parameters: size, color, style, style, etc. User Helen has a rating of about 300 points, she has 10 subscribers and she is subscribed to 150 users on a clothing selection website. Helen, navigating the website with a selection of clothes, leaves comments on certain articles of jumpers, blouses, skirts, children's goods. For example, Helen liked the jumpsuit, and she leaves a positive comment about it, and likes the user Rita, who posted a photo of her daughter in the jumpsuit. For this, the Renteres system increases the Helen user rating by 4 points. Now, Helen wants to share a photo of Rita on Odnoklassniki social network, and gets another 10 points for such a repost. Thus, thanks to reviews of specific products, the system has the ability to prompt users when choosing a product. At the same time, the selection and evaluation of a product or service by one or another user will be controlled by other users with high confidence ratings.

The Renteres system, through the module for assessing the reliability of user profile 4, additionally implements the following features: assessment of thematic content, comments and user posts, depending on the user rating and / or personal preferences of users, selective display for users of certain comments, posts, information about goods and / or services, based on the aforementioned rating, block user comments for the rated thematic content, if the user rating is less than the threshold Vågå values. Thus, the system evaluates whether comments, thematic content, user posts are professional or not, depending on the user's rating.

We will show these possibilities on a concrete example. For example, the system has several moderators with a high rating, more than 5000, Alex and Tony. Moreover, Alex visits more themed web pages related to cars, and the user Tony, is fond of fishing, and visits web pages with this theme. Since these users have proven themselves in their favorite thematic websites, then, of course, they are professionals in them, and their comments can be trusted. These users can also evaluate one or another thematic content. For example, the user Alex leaves comments about a particular website, according to its professional topics, and this opinion can be trusted. User Alex can check, evaluate, block the comments of other users, in their subject, “cars”, and user Tony can carry out all the same actions with user comments in the subject of “fishing”. The user Liron1985, who is a "beginner" in the themes of "cars", "fishing", enters the system. His comments and ratings are closely monitored by Alex and Tony. Liron1985 entered the system and got 2 points to its rating. Further, Liron1985 visits automotive related websites, leaving comments there. But, since his rating is still small, his comments are not professional. And also, if the “behavior” of the user Liron1985, when commenting on thematic websites, leads him to the fact that his rating drops below the threshold value of 25 points, then his further comments on this or that thematic content will be blocked by the system. However, the opposite situation is also possible, with increasing the rating of a given user, the credibility of moderators in this topic will increase to his comments, posts on a particular topic, and therefore the trust of other users.

In the Renteres system, it is possible to selectively display for a user, for example, Liron1985 certain posts, for example, about the travel services of interest to him, related to traveling around Russia, based on the evaluation of this thematic content, for example, by users of Alex and Bob, having ratings of 6600 and 7400 points in this topic. This selective display of posts, comments of other users and / or thematic content may be based at least on the personal preferences of the user Liron1985. For example, Liron1985 prefers traveling in Russia by bus rather than by rail, indicating these criteria when displaying this thematic content, Liron1985 will receive preferred information about trips that are of interest and suitable to it.

The Renteres system allows grouping when displaying thematic content containing at least news for a specific user, for example, Helen, based on at least the rating of users who are moderators, Alex and Bob, the rating of the website, the date of registration users Alex and Bob, the number of positive feedback left on this news by users Alex and Bob, based on the availability of photo and video data, riveted to any comments of users Alex and Bob about this news. For example, a Helen user is interested in news content published over the previous month that relates specifically to a specific region of the location, and the mandatory criteria for displaying such content are the presence of photographs and the high rating of the thematic news website.

Thus, the Renteres system allows any Internet user to keep abreast of the latest events and view comments of active Internet users on a user-defined topic. The capabilities of the Renteres system allow a user who is interested in a particular news, information or article on the site to maintain constant online contact with other users.

Interest analysis module 5 in the Renteres system is additionally configured to collect statistical information, including at least information on the number of comments left by users with respect to goods and / or services, and thematic content. It is also possible to collect extended statistical information, including at least information about in which age categories certain products and / or services are popular, thematic content, information about which regions in a country and / or countries prefer certain goods and / or services.

For example, in the age category of users from 18 to 25 years old, the most popular areas for search queries on the Internet are topics related to the field of education, science, it can be various term papers, settlement and graphic works, materials for preparing for exams. These thematic requests may differ, depending on the direction of specializations of future specialists, whether they are technical sciences, medical, philosophical, etc.

, всплывает окно комментариев других пользователей по этой тематике, но сделанные ими на этом и на других страницах веб-сайтов. Используя систему Renteres, пользователь Tony может отсортировать комментарии в закладке последние комментарии по какому-то критерию, а также может сделать закладку, например «курсовые работы по термодинамике» и система будет собирать все комментарии пользователей со всех страниц различных сайтов в Интернете, которые касаются указанной пользователем темы. Система формирует отзывы пользователей, сделанные на разных веб-сайтах, в отношении курсовых работ по термодинамике, и группирует их для пользователя в удобном для него виде. В результате этого, пользователю Tony предоставляется возможность, ознакомиться с отзывами других пользователей по интересующей его теме и перейти непосредственно из системы Renteres на тот конкретный объект на сайте, который другой пользователь прокомментировал.Tony is interested in physics coursework. Having entered the search system, he enters search queries related, for example, to a specific section of physics - “thermodynamics”. He is given a huge number of sites on this subject. Renteres system is designed in such a way that when you click on the program icon

, pop-up comments window of other users on this topic, but made by them on this and on other pages of websites. Using the Renteres system, a Tony user can sort the comments in the bookmark by the last comments by some criterion, and can also bookmark, for example, “term papers in thermodynamics” and the system will collect all user comments from all pages of various sites on the Internet that relate to the specified user threads. The system generates user reviews made on various websites regarding term papers on thermodynamics, and groups them for the user in a form convenient for him. As a result of this, the Tony user is given the opportunity to read reviews of other users on a topic of interest to him and go directly from the Renteres system to that specific object on the site that another user commented on.

Another example of the convenience of using the Renteres system is the following. For example, a trusted user, Kate, commented on a bicycle model that was featured on a bike-related website. After reading this news, our Liron1985 user can view this page of the site with the object of interest to him, without using other search engines. All he needs to do is just click on the link to the site in the Renteres system, which another user commented, for example, Kate. Thus, each Internet user can significantly reduce the time spent searching for a particular product and / or information by studying the opinions of other users made on different sites on the product and / or information of interest to the user. Each Internet user is given the opportunity - not only to form communication with other users, grouped by interests, but also to choose the product he needs, having studied the opinions of other users. When visiting any sites, the Renteres system allows any Internet user to bookmark the system’s pop-up window on any topic of interest to him, while the notification system will accompany the user while browsing any pages and notify him of new subscribers, comments, ratings, etc.

The method of exchanging messages in the Renteres system also contains the ability to promote websites in search engines by evaluating user comments on products and services on these websites. This function of the system is implemented through the module for analyzing the interests of users 5, and is expressed in a direct connection between the number of positive comments about goods or services presented on websites and its rating in search engines.

Consider this function to the system as an example. The rating of websites in the Renteres system depends on the comments of users about the goods or services posted on these websites. For example, a Helen user, whose rating in the system is 400 points, navigates through websites while browsing several websites, united by the topic “women's clothing”. For Helen, the predominant criteria for choosing a website for remote clothing orders are - free delivery of goods, reasonable price for them. For these two important parameters for her, two websites came up to her. She leaves positive comments on these two websites in which she gives her opinion about the products, as well as why she makes the choice in favor of these two websites. At the same time, the system stores the URL of these two websites with the theme of “women's clothing”, associating them with positive user comments. Also, several other users, Rita, Kate, opt for these two mentioned websites to order clothes via the Internet, and thus the rating of these websites increases. When a user forms a search query in a search engine containing the phrases “women's clothing is inexpensive”, “women's clothing with free delivery”, the user is provided with the selected Helen websites, i.e. they are displayed “higher” than the rest because they have a higher rating.

Similarly, you can consider the provision of certain services over the Internet. For example, a user of Rita, navigating the Internet, accesses a search engine using approximate queries: “providing hairdressing services at home”, “cutting your hair cheap in Moscow”, “good inexpensive hairdresser”. As a result of such a search, she will receive websites with high trust ratings based on positive feedback from users, for example, on the quality of work of hairdressers, the cost of their services, etc. This feature allows you to sort websites on the basis of people's comments, their experience, which is an informative and objective criterion for choosing a particular service.

Thus, the system allows you to display in the TOP websites with a large number of positive comments about the goods or services posted on them.

Embodiments of the present invention may be implemented using software, hardware, software logic, or a combination thereof. In an embodiment, program logic, software, or a set of instructions are stored on one of various traditional computer-readable media. In the context of this document, a “machine-readable medium” may be any medium or means that may contain, store, transmit, distribute or transport instructions for use by an instruction execution system, equipment or device, such as a computer. A computer-readable medium may include a non-volatile computer-readable medium, which may be any medium or means containing or storing instructions for use by, or for use in connection with, an instruction execution system, equipment or device, such as a computer.

In one embodiment, a circuit or user interface circuit may be provided that is configured to provide at least some of the control functions described above.

If necessary, at least part of the various functions discussed in this description can be performed in a different order than that presented and / or simultaneously with each other. In addition, if necessary, one or more of the functions described above may be optional or may be combined.

Although various aspects of the present invention are described in the independent claims, other aspects of the invention include other combinations of features from the described embodiments and / or dependent claims in conjunction with features of the independent claims, and the combinations are not necessarily explicitly stated in the claims.

Claims (89)

1. Self-tuning interactive system for exchanging comments between users in at least one social network using client-server technology, including: - an access module providing user access to said system in case of successful authentication in said system; - the module for creating a user profile associated with the access module, while the module for creating a user profile is intended to provide the user with a view: - comments of other users and / or his own, - the number of subscribers the user is subscribed to, - information about the user, including at least the user name, user rating, which is the level of reliability of the user profile; - a user device associated with the access module and the profile creation module, wherein the user device is intended for the user to enter information necessary for authentication in the said system, navigate at least one web page, enter user comments; - a user profile reliability assessment module associated with a profile creation module and a user device, wherein the reliability assessment module is intended for: - calculating a user’s rating, which shows the level of trust in the comments of that user; - assessment of thematic content of user comments and posts, depending on the rating of users and / or personal preferences of users; - selective display for users of certain comments, posts, information about goods and / or services, based on the aforementioned assessment; - blocking comments of at least one user with a low rating, if at least one user with a high rating marks the comments of this user as unreliable or offensive, and / or blocking user comments for the rated thematic content, if the user rating is less than the threshold Values wherein the user rating includes at least the following: points received by the user for each comment, hazard reporting points, points for the user's response to the question addressed to him, points for a positive or negative rating by a user of another user's information, points for the user sharing information with other users in a social network and referring to it in another social network, points for indicating by the user that he likes another user; - a user interest analysis module associated with a user profile reliability assessment module, a user device and a user profile creation module, wherein the user interest analysis module is intended to: - analysis of web pages of interest to users, user accounts, while the analysis of web pages includes an assessment of the popularity of the data posted on the web pages among other users; - rating the website, depending on the number of positive feedback from users about the goods and / or services offered on these web pages; - rating popularity of the goods and / or services presented on the websites, depending on the aforementioned website rating, and depending on the user rating; - selective display and grouping of thematic content containing at least comments, posts, thematic data posted on websites based on at least personal preferences and / or interests of users; - a database associated with a user interest analysis module, a user profile reliability module and a profile creation module, wherein the database is intended to store at least the following: user profiles, user browsing histories of web pages, user comments, user ratings, ratings of goods and / or services, ratings of websites, priorities for displaying thematic content for users. 2. The system according to claim 1, in which the user profile reliability assessment module is also configured to determine whether comments on a particular topic are professional comments or not, depending on the user's rating. 3. The system of claim 2, wherein said module for assessing the reliability of a user profile is configured to reduce the rating by a certain number of points if the comment of that user is flagged as dangerous by at least one user with a higher rating. 4. The system of claim 3, wherein said user profile reliability assessment module is further configured to generate a list of users who have received warnings from other users, and the reliability assessment module is configured to block this user if that user has received a certain number of warnings, and prohibiting this user from commenting on any web page and / or website. 5. The system of claim 4, wherein said module for assessing the reliability of a user profile is configured to lock the user on an ongoing basis if he has a large number of warnings. 6. The system of claim 5, wherein said module for assessing the reliability of a user profile is further intended to automatically check comments for offensive words or expressions. 7. The system according to claim 6, in which an increase in the number of positive feedback from users about goods and / or services offered on websites is directly proportional to the increase in the rating of these websites and directly proportional to the withdrawal of these websites in the TOP search engines. 8. The system of claim 7, in which ratings of web pages are assigned depending on the popularity of the data posted on the web pages among other users. 9. The system of claim 8, wherein the interest analysis module is configured to selectively display and group thematic content containing at least data about goods and / or services based on at least the following parameters: - user rating; - website ranking; - dates of user registration in the system; - the number of positive feedback from users; - age, gender of users; - the availability of photo and video data attached to user comments. 10. The system of claim 9, wherein the user interest analysis module is further configured to collect statistical information including at least information on the number of comments left by users with respect to goods and / or services, thematic content. 11. The system of claim 10, wherein the user interest analysis module is further configured to collect extended statistical information including at least information about in which age categories certain products and / or services, thematic content are popular, information about which regions in the country and / or countries prefer certain goods and / or services, thematic content. 12. The system of claim 11, wherein the user’s interests analysis module is further configured to display to the user, in response to his thematic request, user comments on this topic, grouped by user rating, rating of goods and / or services, rating of websites. 13. The system according to p. 12, in which the module for analyzing the interests of the user is additionally configured to select and provide the user with thematic content, depending on the popularity rating of the user of certain goods and / or services. 14. The system of claim 13 further comprises a notification module associated with the user device and the database, wherein the notification module is intended to notify the user of new comments by other users, to notify about points put down by other users in response to the comments of this user, and also designed to view comments from other users. 15. The system of claim 14, wherein said notification module notifies users of new comments by means of the corresponding comment icon, which becomes transparent when the webpage is scrolled, and reappears if the user hovers over it or scrolls up the webpage , while this comment icon displays the number of comments on a particular web page, and when you hover over an object on this web page, the number of comments on this object. 16. The system according to one of paragraphs. 1-15 further comprises a moderator user device and a supervisor user device configured to create comments on any web pages, rate web pages, and rating users. 17. The system of claim 16 further comprises a module for evaluating user commenting activity, wherein the user rating is further based on the level of user commenting activity. 18. A method for exchanging comments between users on web pages by means of a self-configuring interactive system for exchanging comments between users in at least one social network using client-server technology, the method includes the steps of: - through the user device, the user enters authentication information in the said system, and in case of successful authentication, the access module provides the user with access to the said system; - through the user device, the user is provided with navigation on at least one web page, inputting his comments, while using the user profile creation module a user profile is created, the user is provided with the user’s comments and / or his own comments, the number of subscribers a user is signed up, user information including at least the user name, user rating, which is the level of reliability of the user profile I; - using the module for analyzing user interests, they analyze the web pages and user accounts of interest to the user, while the analysis of web pages includes an assessment of the popularity of the data posted on the web pages among other users; - using the module of user interests, they rate web pages, depending on the number of positive feedback from users about the goods and / or services offered on these web pages; - using the module of interests of the user, they rate the goods and / or services presented on the websites depending on the aforementioned website rating and depending on the user rating; - using the module of user interests, priorities are set for displaying and grouping thematic content containing at least comments, posts, thematic data posted on websites based on at least personal preferences and / or interests of users; - through the user profile reliability assessment module, a user rating is calculated that shows the level of trust in the comments of that user; - through the module for assessing the reliability of the user profile, they evaluate the thematic content of user comments and posts, depending on the user rating and / or personal preferences of users, set display priorities for users of certain comments, posts, information about goods and / or services, based on the above assessment; wherein the user rating includes at least the following: points received by the user for each comment, hazard reporting points, points for the user's response to the question addressed to him, points for a positive or negative rating by a user of another user's information, points for the user sharing information with other users in a social network and referring to it in another social network, points for the user indicating that he likes another user, at the same time, they store in the database at least the following: information about user profiles, user visits to web pages, user comments, user ratings, product and / or service ratings, website ratings, and display priorities for thematic content for users ; - using the user profile reliability assessment module, block comments of at least one user with a low rating, if at least one user with high rating marks the comments of this user as unreliable or offensive, and / or blocks user comments for the rated topic content if the user’s rating falls below the threshold. 19. The method according to p. 16, in which using the module for assessing the reliability of the user profile determines whether comments on a particular topic are professional comments or not, depending on the rating of the user. 20. The method according to p. 17, in which using the module for assessing the reliability of the user's profile, the rating is reduced by a certain number of points if the comment of this user is marked as dangerous by at least one user with a higher rating. 21. The method according to p. 18, in which, using the user profile reliability assessment module, a list of users who have received warnings from other users is additionally generated, and this user is blocked by the reliability assessment module if the user has received a certain number of warnings, and a ban is provided to comment on this user any web page and / or website. 22. The method according to p. 19, in which, with the help of the module for assessing the reliability of the user profile, the user is blocked on an ongoing basis if he has a large number of warnings. 23. The method according to p. 20, in which using the module to assess the reliability of the user profile, additionally automatically check the comments for the presence of offensive words or expressions. 24. The method according to p. 21, in which the increase in the number of positive feedback from users about goods and / or services offered on websites is directly proportional to the increase in the rating of these websites and directly proportional to the withdrawal of these websites in the TOP search engines. 25. The method according to p. 24, in which using the module of interest analysis selectively displays and groups thematic content containing at least data on goods and / or services, based on at least the following parameters: - user rating; - website ranking; - dates of user registration in the system; - the number of positive feedback from users; - age, gender of users; - the availability of photo and video data attached to user comments. 26. The method according to p. 25, in which using the module for analyzing the interests of the user collect statistical information, including at least information about the number of comments left by users in relation to goods and / or services, thematic content. 27. The method according to p. 26, in which using the module for analyzing the interests of the user collect advanced statistical information, including at least information about in which age categories these or other goods and / or services, thematic content, information are popular about which regions in the country and / or countries prefer certain goods and / or services, thematic content. 28. The method according to p. 27, in which, using the module for analyzing the interests of the user, the user, in response to his thematic request, is displayed with user comments on this topic, grouped by user rating, rating of goods and / or services, rating of websites. 29. The method according to p. 28, in which, using the module for analyzing the interests of the user, they select and provide the user with thematic content, depending on the popularity rating of the user of certain goods and / or services. 30. The method according to p. 29, in which using the notification module notify the user about new comments of other users, about the points put by other users, in response to the comments of this user, and also provide the user with the opportunity to view the comments of other users. 31. The method according to p. 30, in which using the notification module notify the user, at least: about new comments of other users, about points put down by other users in response to user comments on his chosen interests. 32. The method according to p. 31, in which, using the notification module, users are notified of new comments by other users, scores put by other users in response to the comments of this user, and they also provide the user with the possibility to view the comments of other users with whom he interests coincide. 33. The method according to p. 32, in which using the notification module notify users of new comments by means of the corresponding comment icon, which becomes transparent when the web page is scrolled, and appears again if the user hovers over it or scrolls the web page up , while this comment icon displays the number of comments on a particular web page, and when you hover over an object on this web page, the number of comments on this object. 34. The method according to one of paragraphs. 18-33, in which using the user device of the moderator and the user device of the supervisor create comments on any web pages, give ratings to web pages, points to users. 35. The method according to p. 34, in which using the user commenting activity assessment module, a user's commenting activity level is estimated, and the user rating is additionally based on the user commenting activity level. 36. A computer-readable storage medium containing computer-readable instructions that, when executed, implement the steps of the method according to one of claims. 18-35.

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