CN111709782B

CN111709782B - Information interaction method and device and electronic equipment

Info

Publication number: CN111709782B
Application number: CN202010557032.7A
Authority: CN
Inventors: 李玉鹏
Original assignee: Beijing ByteDance Network Technology Co Ltd
Current assignee: Beijing ByteDance Network Technology Co Ltd
Priority date: 2020-06-17
Filing date: 2020-06-17
Publication date: 2023-04-28
Anticipated expiration: 2040-06-17
Also published as: CN111709782A

Abstract

The embodiment of the disclosure discloses an information interaction method, an information interaction device and electronic equipment. The method comprises the following steps: responding to the information interaction request sent by the inviting user, and determining a pairing user corresponding to the inviting user based on a target pairing strategy selected by a predetermined pairing strategy selection scheme; and sending the information interaction request to the paired user so as to enable the inviting user to interact information with the paired user. The target pairing strategy selected by the pairing strategy selection scheme can be more suitable for inviting users to match with the pairing users corresponding to the flagdrum, so that more potential can be excited by the inviting users and the pairing users in the information interaction process, and the attention is improved.

Description

Information interaction method and device and electronic equipment

Technical Field

The disclosure relates to the technical field of internet, and in particular relates to an information interaction method, an information interaction device and electronic equipment.

Background

With the development of the internet, the importance of users is increasing, and before the actual use of the product policy, an a/B test (i.e. AB test) is generally required to verify whether the product policy is feasible or better. During A/B testing, users can be grouped, which users can try out the A product strategy and which users can try out the B product strategy are determined, and whether the product strategy can be put into practical use or not can be determined by calculating relevant preset statistical parameters.

After determining the target product strategy which can be put into practical use, the target product strategy can be used for providing corresponding product services for users.

Disclosure of Invention

This disclosure is provided in part to introduce concepts in a simplified form that are further described below in the detailed description. This disclosure is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.

The embodiment of the disclosure provides an information interaction method, an information interaction device and electronic equipment.

In a first aspect, an embodiment of the present disclosure provides an information interaction method, including: responding to the information interaction request sent by the inviting user, and determining a pairing user corresponding to the inviting user based on a target pairing strategy selected by a predetermined pairing strategy selection scheme; and sending the information interaction request to the paired user so as to enable the inviting user to interact information with the paired user. The pairing strategy selection scheme is determined in advance based on the following steps: determining a pairing strategy corresponding to each first user according to the received information interaction requests sent by a plurality of first users, wherein the pairing strategy comprises a first pairing strategy and a second pairing strategy; for each first user, determining a second user corresponding to the first user according to a pairing strategy corresponding to the first user, and determining a user group corresponding to the second user corresponding to the first user, wherein the user group comprises a first user group corresponding to the first pairing strategy and a second user group corresponding to the second pairing strategy; respectively counting parameter values of preset statistical parameters corresponding to each pair of first users and second users in the first user group and the second user group; and determining a comparison result of the first pairing strategy and the second pairing strategy based on the parameter value, and selecting a target pairing strategy based on the comparison result.

In a second aspect, an embodiment of the present disclosure provides an information interaction apparatus, including: the determining module is used for determining a pairing user corresponding to the inviting user based on a target pairing strategy selected by a predetermined pairing strategy selection scheme in response to receiving an information interaction request sent by the inviting user; and the sending module is used for sending the information interaction request to the paired user so as to enable the inviting user to interact with the paired user in information. The pairing strategy selection scheme is determined in advance based on the following steps: determining a pairing strategy corresponding to each first user according to the received information interaction requests sent by a plurality of first users, wherein the pairing strategy comprises a first pairing strategy and a second pairing strategy; for each first user, determining a second user corresponding to the first user according to a pairing strategy corresponding to the first user, and determining a user group corresponding to the second user corresponding to the first user, wherein the user group comprises a first user group corresponding to the first pairing strategy and a second user group corresponding to the second pairing strategy; respectively counting parameter values of preset statistical parameters corresponding to each pair of first users and second users in the first user group and the second user group; and determining a comparison result of the first pairing strategy and the second pairing strategy based on the parameter value, and selecting a target pairing strategy based on the comparison result.

In a third aspect, an embodiment of the present disclosure provides an electronic device, including: one or more processors; and a storage device having one or more programs stored thereon, which when executed by the one or more processors, cause the one or more processors to implement the information interaction method of the first aspect.

In a fourth aspect, an embodiment of the present disclosure provides a computer readable medium, on which a computer program is stored, which when executed by a processor, implements the steps of the information interaction method described in the first aspect.

The embodiment of the disclosure provides an information interaction method, an information interaction device and electronic equipment. Firstly, responding to an information interaction request sent by an inviting user, and determining a pairing user corresponding to the inviting user based on a target pairing strategy selected by a predetermined pairing strategy selection scheme; and then sending the information interaction request to the paired user so as to enable the inviting user to interact information with the paired user. The target pairing strategy selected by the pairing strategy selection scheme can be more suitable for inviting users to match with the pairing users corresponding to the flagdrum, so that more potential can be excited by the inviting users and the pairing users in the information interaction process, and the attention is improved.

Drawings

The above and other features, advantages, and aspects of embodiments of the present disclosure will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. The same or similar reference numbers will be used throughout the drawings to refer to the same or like elements. It should be understood that the figures are schematic and that elements and components are not necessarily drawn to scale.

FIG. 1 is a flow chart of one embodiment of an information interaction method according to the present disclosure;

FIG. 2 is a schematic structural view of one embodiment of an information interaction device according to the present disclosure;

FIG. 3 is an exemplary system architecture in which the information interaction method of one embodiment of the present disclosure may be applied;

fig. 4 is a schematic diagram of a basic structure of an electronic device provided according to an embodiment of the present disclosure.

Detailed Description

Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure have been shown in the accompanying drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are for illustration purposes only and are not intended to limit the scope of the present disclosure.

It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order and/or performed in parallel. Furthermore, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.

The term "including" and variations thereof as used herein are intended to be open-ended, i.e., including, but not limited to. The term "based on" is based at least in part on. The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments. Related definitions of other terms will be given in the description below.

It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the devices, modules, or units.

It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.

The names of messages or information interacted between the various devices in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.

It should be noted that, without conflict, the embodiments of the present disclosure and features of the embodiments may be combined with each other.

Referring to fig. 1, a flowchart of one embodiment of an information interaction method according to the present disclosure is shown, and as shown in fig. 1, the information interaction method includes the following steps 101 to 102.

Step 101, in response to receiving an information interaction request sent by an inviting user, determining a pairing user corresponding to the inviting user based on a target pairing strategy selected by a predetermined pairing strategy selection scheme.

The information interaction request may include a request sent by the inviting user to interact with information of other users. The inviting user can invite other people to interact information.

In practice, the inviting user may include a host user, and the information interaction request may include a request sent by the host user a to perform a communication interaction with other host users B (for example, a host PK request).

The pairing strategy selection scheme can select the target pairing strategy in advance, and the corresponding pairing user is matched for the inviting user through the target pairing strategy. The target pairing policy here may include, for example, matching pairing policies of the same type, the same age, the same location area, and the like for the inviting user. Specifically, the above pairing strategy selection scheme may be determined in advance based on the following steps 1 to 4.

Step 1, determining a pairing strategy corresponding to each first user according to received information interaction requests sent by a plurality of first users, wherein the pairing strategy comprises a first pairing strategy and a second pairing strategy.

The first user may initiate an information interaction request to request information interaction with another person. Upon receiving an information interaction request sent by a first user, a pairing policy corresponding to the first user may be determined, where the pairing policy may include a policy for the first user to find a corresponding invited user that can accept its invitation.

The pairing policy may include a first pairing policy and a second pairing policy, that is, the first pairing policy may be used to match a corresponding invited user to the first user, and the second pairing policy may be used to match a corresponding invited user to the first user. The first pairing strategy here may for example comprise a first scheme of matching a first anchor user with anchor users having the same preferences as the first anchor user. The first scheme here can, for example, determine that it is a game hobby host based on the historical behavior of the first host a, and frequently live game content, by which the first host a can be matched with the host a' who is also hobby. The second pairing strategy here may for example comprise a second scheme of matching a first anchor user with anchor users who are not significantly different from the first anchor user. The second scenario here may for example comprise matching a first anchor a with an insignificant difference in the number of anchors watching his live.

After receiving the information interaction requests of the plurality of first users, a corresponding pairing strategy can be determined for each first user. For example, after receiving the information interaction request of the first user a, it may be determined that the pairing policy of the first user a is the first pairing policy; after receiving the information interaction request of the first user B, determining that the pairing strategy of the first user B is a second pairing strategy; after receiving the information interaction request of the first user C, it may be determined that the pairing policy of the first user C is a second pairing policy, and so on.

And 2, for each first user, determining a second user corresponding to the first user according to the pairing strategy corresponding to the first user, and determining a user group corresponding to the second user corresponding to the first user, wherein the user group comprises a first user group corresponding to the first pairing strategy and a second user group corresponding to the second pairing strategy.

After the pairing strategy corresponding to the first user is determined, a corresponding second user can be matched for the first user through the determined pairing strategy. The second user here may comprise, for example, the invited anchor user described above. The first user can invite the second user to perform information interaction, and the plurality of first users and the second user are used as test objects, so that data support can be provided for selecting the target pairing strategy in the pairing strategy selection scheme.

In some application scenarios, a user group corresponding to a first user may be determined through a pairing policy corresponding to the first user. For example, if it is determined that the pairing policy of the first user a is the first pairing policy, it may be determined that the user group corresponding to the first user a is the first user group. If the pairing strategy of the first user A is determined to be the second pairing strategy, the user group corresponding to the first user A can be determined to be the second user group.

In some application scenarios, a user group may be determined where the first user and the second user are co-located. For example, a first user a is in a first user group, and a corresponding second user a' may also be in the first user group. At this time, the user group in which both are present is the first user group.

In practice, the unique identity of a user may be determined by the user account of the user. That is, the first user or the second user may be identified by the user account, and when the users are grouped, the corresponding user may be recorded by recording the user account of the user, and the corresponding user identity may be determined by the user account. For example, if the user account of the first user a is 123456, when it is detected that the user with the user account of 123456 initiates the information interaction request, it may be determined that the user initiating the information interaction request is the first user a.

And step 3, respectively counting parameter values of preset statistical parameters corresponding to each pair of first users and second users in the first user group and the second user group.

After determining the user groups corresponding to the first users and the corresponding second users, multiple pairs of first users and second users can be accumulated in the first user group and the second user group respectively. At this time, parameter values of preset statistical parameters of each pair of the first user and the corresponding second user may be calculated respectively.

The preset statistical parameters may include parameters such as PK session, number of viewers, viewing duration, etc., and the corresponding parameter values may include PK session 10, number of viewers 100, viewing duration 1 hour, etc.

And 4, determining a comparison result of the first pairing strategy and the second pairing strategy based on the parameter value, and selecting a target pairing strategy based on the comparison result.

In some application scenarios, the parameter values of the preset statistical parameters corresponding to each pair of the first user and the second user in the same user group may be accumulated to obtain the parameter value of the preset statistical parameter of the pairing strategy corresponding to the user group, and then the pairing strategy with the better parameter value may be determined as the target pairing strategy. For example, in a certain period, the number of viewers watching the first user a in the first user group is 50, and the number of viewers watching the corresponding second user a' is 50, then the parameter value corresponding to the preset statistical parameter, which is the number of viewers corresponding to the first user group, may be counted as 100, so that the difference between the number of viewers in the first user group and the number of viewers in the second user group may be 100, and then the pairing strategy corresponding to the first user group may be selected as the target pairing strategy.

In the prior art, the user accounts corresponding to the first user and the second user are generally grouped according to a single party, for example, a certain anchor user enters a certain scene and hashes the user accounts, but when an inviter (which can be regarded as the first user) and an invitee (which can be regarded as the second user) that perform information interaction simultaneously are involved, if the first user and the second user are respectively grouped through the single user account, the situation that the first user and the second user cannot be grouped in the same user group may occur. That is, even if the first pairing strategy or the second pairing strategy is used, after the second user that performs information interaction with the first user is found, the first user and the second user may still be hashed and grouped separately in this way, and the two users may be separated into different groups. And if the grouping is different, the comparison effect of the pairing strategy selection scheme for comparing the first pairing strategy and the second pairing strategy is low in significance.

For example, if the number of viewers of the first user B in the first user group is 50, and the corresponding second user B 'having 50 viewers is in the second user group, the number of viewers of the first user B for the first user group is 50, and the number of viewers of the second user B' for the second user group is 50. Thus, the difference in the number of viewers of the first user group and the second user group may be 0 person. If different users correspond to different pairing strategies, the statistical result obtained at the moment cannot determine the advantages and disadvantages of the different pairing strategies. I.e. it brings about no significant contrast effect. When the comparison effect is not obvious, the comparison result of the first pairing strategy and the second pairing strategy is not favorable to be determined. Therefore, in this embodiment, the first user and the second user may be separated into the same user group as much as possible, so that the problem that the contrast effect is not significant may be alleviated. When the comparison effect is remarkable, the better pairing strategy can be compared through the parameter value difference of the first user grouping and the second user grouping.

According to the pairing strategy selection scheme provided by the embodiment, the pairing strategy corresponding to each first user is determined according to the received information interaction requests sent by the plurality of first users, and the pairing strategy comprises a first pairing strategy and a second pairing strategy; then, for each first user, determining a second user corresponding to the first user according to a pairing strategy corresponding to the first user, and determining a user group corresponding to the second user corresponding to the first user, wherein the user group comprises a first user group corresponding to the first pairing strategy and a second user group corresponding to the second pairing strategy; secondly, respectively counting parameter values of preset statistical parameters corresponding to each pair of first users and second users in the first user group and the second user group; and finally, determining a comparison result of the first pairing strategy and the second pairing strategy based on the parameter value, and selecting a target pairing strategy based on the comparison result. The user corresponding to each pairing strategy can be halved in the same user group, and the parameter values corresponding to the preset statistical parameters of different user groups are compared, so that the problem that the comparison effect of the pairing strategy selection scheme is not obvious can be relieved.

And 102, sending an information interaction request to the paired user so as to enable the inviting user to interact with the paired user in information.

After the corresponding paired users are determined through the target pairing strategy, the information interaction request can be sent to the corresponding paired users, and after the paired users receive the information interaction request, the information interaction invitation can be selected to be accepted to interact with the inviting users.

For example, when the information interaction request is to invite the paired user to perform the wheat-connection interaction, the paired user may perform the wheat-connection interaction with the inviting user after receiving the information interaction request. In the wheat linking interaction process, the capacity of the two users is equivalent to that of the flagdrum, and more spectators can be attracted to watch the wheat linking interaction process.

In this embodiment, first, in response to receiving an information interaction request sent by an inviting user, a pairing user corresponding to the inviting user is determined based on a target pairing policy selected by a predetermined pairing policy selection scheme, and then, the information interaction request is sent to the pairing user, so that the inviting user and the pairing user interact with each other in information. The target pairing strategy selected by the pairing strategy selection scheme can be more suitable for inviting users to match with the pairing users corresponding to the flagdrum, so that more potential can be excited by the inviting users and the pairing users in the information interaction process, and the attention is improved.

In some alternative implementations, step 2 may be implemented by the following steps 21 and 22.

Step 21, determining whether the first user has a first history packet record, and determining, in response to determining that the first user has the first history packet record, a user group corresponding to the first user based on the first history packet record of the first user.

The first historical packet record may include a record that characterizes whether the first user has been previously classified into any of the user packets.

In some application scenarios, the current user group may be determined by determining whether the first user has a first history packet record. For example, the first user a has a record that has been grouped into a first user group prior to the current time, and it may be determined that the first user a currently corresponds to the user group as the first user group. In this way, the grouping situation of the first user A is not affected, and the grouping interference to the first user A is reduced.

And step 22, judging whether a second historical grouping record exists for the second user, and determining a user group corresponding to the second user according to a judging result.

In some application scenarios, there are cases where the second user corresponding to the first user has been grouped. Therefore, after the matching of the corresponding second user to the first user through the matching method, whether the second user has the second history grouping record or not can be judged so as to judge the user group corresponding to the second user. The second history group record herein may include a record of whether the second user has already been previously classified into any user group.

In some alternative implementations, step 22 may include step 221: in response to determining that the second user does not have the second history packet record, the second user is divided into user groups corresponding to the first user, and the user groups corresponding to the first user are determined to be user groups corresponding to the second user.

In some application scenarios, if it is determined that the second user does not have a second history group record, i.e., the second user has not been previously classified into any user group. At this time, the second user may be divided into user groups in which the first user is located. For example, the user group corresponding to the first user a is a first user group, and if it is determined that the corresponding second user a 'does not have the second history group record, the user group corresponding to the second user a' may be determined as the first user group. Since then, the second user a' may have a second history packet record that was split into the first user packets. Therefore, the second users without the second history grouping records can be separated into the user groups where the corresponding first users are located as far as possible, the probability that the two users are in the same group can be improved, and then the problem of insignificant test effect can be relieved to a certain extent.

In some alternative implementations, step 22 may further include step 222: in response to determining that the second user has the second historical packet record, a user group corresponding to the second user is determined based on the second historical packet record of the second user.

In some application scenarios, if it is determined that the second user has the second historical packet record, the user packet corresponding to the second user may not be changed, and the second user may be kept stored in the corresponding user packet in the second historical packet record. For example, the second user a has a second history of grouping records previously grouped into second user groups, and the user group corresponding to the second user a may be determined to be the second user group. I.e. also the packet situation that the second user has determined is not changed, reducing the packet interference to it.

After performing step 222 described above, step 3 may include step 31: judging whether the user group corresponding to the second user is the same as the user group corresponding to the first user, and counting the obtained parameter value corresponding to the preset statistical parameter into the user group corresponding to the first user in response to determining that the user group corresponding to the second user is the same as the user group corresponding to the first user.

In some application scenarios, if the second user has the second history packet record, it may be determined whether the user group of the second user determined by the second history packet record is the same as the user group corresponding to the first user, that is, whether the second user is in the same user group as the corresponding first user. If the second user and the corresponding first user are determined to be in the same user group, the obtained parameter value corresponding to the preset statistical parameter can be counted into the user group corresponding to the first user.

For example, after the information interaction, the first user a and the second user a 'have a viewing duration (preset statistical parameter) of 50 minutes for the viewer viewing the first user a, and a viewing duration of 50 minutes for the viewer viewing the second user a'. At this time, if it is determined that the second user a' is in the first user group with the first user a, the viewing time period of the spectators taken by both may be counted into the first user group for 100 minutes.

In some alternative implementations, step 3 may also include step 32 and step 33.

And step 32, in response to determining that the user group corresponding to the second user is different from the user group corresponding to the first user, judging whether the first user and the second user have historical information interaction data.

In some application scenarios, if it is determined that the second user is not in the same user group as the corresponding first user, historical information interaction data of the second user and the first user can be further checked, and it is determined, through the historical information interaction data, to which user group the parameter value corresponding to the corresponding preset statistical parameter should be counted.

And step 33, in response to determining that the first user and the second user have no historical information interaction data, counting the obtained parameter values corresponding to the preset statistical parameters into the user group corresponding to the first user.

That is, if it is determined that the first user and the corresponding second user do not have the history information interaction data, the obtained parameter value corresponding to the preset statistical parameter may be counted into the user group corresponding to the first user. For example, there is no historical PK data between the first user a and the second user a ' performing the linking interaction, that is, the first user a and the second user a ' have no PK, and PK session obtained this time by the first user a and the second user a ' may be counted into the user group in which the first user a is located.

In some alternative implementations, step 3 may also include step 34 and step 35.

In step 34, in response to determining that the first user has historical information interaction data with the second user, it is determined whether the historical information interaction data is consistent with the current information interaction data.

In some application scenarios, it may be determined, based on the historical information interaction data and the current information interaction data of the two corresponding users, to which user group the obtained parameter value corresponding to the preset statistical parameter needs to be counted. For example, it is determined that the first user a has historical PK data with the corresponding second user a ', whether the historical PK data is consistent with current PK data may be detected, that is, if the current PK data invites the second user a to PK for the first user a, whether the historical PK data also invites the second user a' for the first user a may be detected.

And step 35, in response to determining that the historical information interaction data is consistent with the current information interaction data, counting the obtained parameter values corresponding to the preset statistical parameters into the user group corresponding to the first user.

If it is determined that the historical information interaction data is consistent with the current information interaction data, the obtained parameter value corresponding to the preset statistical parameter can be counted into the user group corresponding to the first user. For example, the historical information interaction data is that the first user a invites the second user a 'to perform PK, and the current information interaction data is that the first user a invites the second user a' to perform PK, so that the obtained PK session can be counted into a user group where the first user a is located.

In some alternative implementations, step 3 may further include step 36: and responding to the fact that the historical information interaction data is inconsistent with the current information interaction data, and not counting the obtained parameter values corresponding to the preset statistical parameters.

For example, the historical information interaction data is that the first user a invites the second user a 'to perform PK, and the current information interaction data is that the first user a' invites the second user a to perform PK, so that the obtained PK session may not be counted, that is, the obtained PK session may not be counted into any user group.

In some alternative implementations, step 2 may further include step 23: in response to determining that the first user does not have the first historical packet record, hash the first user; and determining a user group corresponding to the first user according to the hash grouping result.

In some application scenarios, if a first user is not invited or invites other users to interact with information, it has not been previously divided into any user groups. At this point, it may be hashed to determine the user group in which it is located. For example, the first user a does not have a first history packet record, may be hashed, and may be partitioned into a first user packet if it is determined by a corresponding hashing algorithm that the first user a is partitioned into the first user packet. The hash packet method is a well-known technique, and will not be described in detail here.

Referring to fig. 2, a schematic structural diagram of one embodiment of an information interaction device according to the present disclosure is shown, and as shown in fig. 2, the information interaction device includes a determining module 201 and a transmitting module 202. The determining module 201 is configured to determine, in response to receiving an information interaction request sent by an inviting user, a pairing user corresponding to the inviting user based on a target pairing policy selected by a predetermined pairing policy selection scheme. The sending module 202 is configured to send an information interaction request to the paired user, so that the inviting user performs information interaction with the paired user. The pairing strategy selection scheme can be determined in advance based on the following modules: the first determining module is used for determining a pairing strategy corresponding to each first user according to the received information interaction requests sent by the plurality of first users, wherein the pairing strategy comprises a first pairing strategy and a second pairing strategy; the second determining module is used for determining a second user corresponding to the first user according to the pairing strategy corresponding to the first user for each first user, and determining a user group corresponding to the second user corresponding to the first user, wherein the user group comprises a first user group corresponding to the first pairing strategy and a second user group corresponding to the second pairing strategy; the statistics module is used for respectively counting parameter values of preset statistical parameters corresponding to each pair of first users and second users in the first user group and the second user group; and the third determining module is used for determining a comparison result of the first pairing strategy and the second pairing strategy based on the parameter value and selecting a target pairing strategy based on the comparison result.

It should be noted that, the specific processing of the determining module 201 and the sending module 202 of the information interaction device and the technical effects thereof may refer to the description of steps 101 to 102 in the corresponding embodiment of fig. 1, and are not repeated herein.

In some optional implementations of this embodiment, the second determining module is further configured to: judging whether a first user has a first history grouping record or not, and determining a user group corresponding to the first user based on the first history grouping record of the first user in response to determining that the first user has the first history grouping record; and judging whether the second user has a second history grouping record or not, and determining a user group corresponding to the second user according to a judging result.

In some optional implementations of this embodiment, the second determining module is further configured to: in response to determining that the second user does not have the second history packet record, the second user is divided into user groups corresponding to the first user, and the user groups corresponding to the first user are determined to be user groups corresponding to the second user.

In some optional implementations of this embodiment, the second determining module is further configured to: responsive to determining that the second user has a second historical packet record, determining a user group corresponding to the second user based on the second historical packet record of the second user; the statistics module is further to: judging whether the user group corresponding to the second user is the same as the user group corresponding to the first user, and counting the obtained parameter value corresponding to the preset statistical parameter into the user group corresponding to the first user in response to determining that the user group corresponding to the second user is the same as the user group corresponding to the first user.

In some optional implementations of this embodiment, the statistics module is further to: and in response to determining that the user group corresponding to the second user is different from the user group corresponding to the first user, judging whether the first user and the second user have historical information interaction data, and in response to determining that the first user and the second user have no historical information interaction data, counting the obtained parameter values corresponding to the preset statistical parameters into the user group corresponding to the first user.

In some optional implementations of this embodiment, the statistics module is further to: and in response to determining that the first user and the second user have the historical information interaction data, judging whether the historical information interaction data are consistent with the current information interaction data, and in response to determining that the historical information interaction data are consistent with the current information interaction data, counting the obtained parameter values corresponding to the preset statistical parameters into the user group corresponding to the first user.

In some optional implementations of this embodiment, the statistics module is further to: and responding to the fact that the historical information interaction data is inconsistent with the current information interaction data, and not counting the obtained parameter values corresponding to the preset statistical parameters.

In some optional implementations of this embodiment, the second determining module is further configured to: in response to determining that the first user does not have the first historical packet record, hash the first user; and determining a user group corresponding to the first user according to the hash grouping result.

Referring to fig. 3, an exemplary system architecture to which the information interaction method of one embodiment of the present disclosure may be applied is shown.

As shown in fig. 3, the system architecture may include

terminal devices

301, 302, 303, a network 304, and a server 305. The network 304 is used as a medium to provide communication links between the

terminal devices

301, 302, 303 and the server 305. The network 304 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others. The terminal devices and servers described above may communicate using any currently known or future developed network protocol, such as HTTP (HyperText Transfer Protocol ), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the internet (e.g., the internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed networks.

The

terminal devices

301, 302, 303 may interact with the server 305 through the network 304 to receive or send messages or the like. Various client applications, such as a video distribution application, a search class application, a news information class application, may be installed on the

terminal devices

301, 302, 303.

The

terminal devices

301, 302, 303 may be hardware or software. When the

terminal devices

301, 302, 303 are hardware, they may be various electronic devices having a display screen and supporting web browsing, including but not limited to smartphones, tablet computers, electronic book readers, MP3 players (Moving Picture Experts Group Audio Layer III, dynamic video expert compression standard audio plane 3), MP4 (Moving Picture Experts Group Audio Layer IV, dynamic video expert compression standard audio plane 4) players, laptop and desktop computers, and the like. When the

terminal devices

301, 302, 303 are software, they can be installed in the above-listed electronic devices. Which may be implemented as multiple software or software modules (e.g., software or software modules for providing distributed services) or as a single software or software module. The present invention is not particularly limited herein.

The server 305 may be a server that can provide various services, for example, receives information interaction requests sent by the

terminal devices

301, 302, 303, analyzes the information interaction requests, and sends analysis processing results (for example, information interaction data corresponding to the information interaction requests) to the

terminal devices

301, 302, 303.

It should be noted that, the information interaction method provided by the embodiment of the present disclosure may be executed by a server or may be executed by a terminal device, and accordingly, the information interaction device may be disposed in the server or may be disposed in the terminal device.

It should be understood that the number of terminal devices, networks and servers in fig. 3 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

Referring now to fig. 4, a schematic diagram of an electronic device (e.g., a server or terminal device of fig. 3) suitable for use in implementing embodiments of the present disclosure is shown. The electronic device shown in fig. 4 is merely an example and should not be construed to limit the functionality and scope of use of the disclosed embodiments.

As shown in fig. 4, the electronic device may include a processing means (e.g., a central processor, a graphics processor, etc.) 401, which may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 402 or a program loaded from a storage means 408 into a Random Access Memory (RAM) 403. In the RAM 403, various programs and data required for the operation of the electronic device are also stored. The processing device 401, the ROM 402, and the RAM 403 are connected to each other by a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.

In general, the following devices may be connected to the I/O interface 405: input devices 406 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 407 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 408 including, for example, magnetic tape, hard disk, etc.; and a communication device 409. The communication means 409 may allow the electronic device to communicate with other devices wirelessly or by wire to exchange data. While fig. 4 shows an electronic device having various means, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead.

In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a non-transitory computer readable medium, the computer program comprising program code for performing the method shown in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via communications device 409, or from storage 408, or from ROM 402. The above-described functions defined in the methods of the embodiments of the present disclosure are performed when the computer program is executed by the processing device 401.

It should be noted that the computer readable medium described in the present disclosure may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this disclosure, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present disclosure, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.

The computer readable medium may be contained in the electronic device; or may exist alone without being incorporated into the electronic device.

The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: responding to the information interaction request sent by the inviting user, and determining a pairing user corresponding to the inviting user based on a target pairing strategy selected by a predetermined pairing strategy selection scheme; and sending an information interaction request to the paired user so as to enable the inviting user to interact information with the paired user. The pairing strategy selection scheme is determined in advance based on the following steps: determining a pairing strategy corresponding to each first user according to the received information interaction requests sent by the plurality of first users, wherein the pairing strategy comprises a first pairing strategy and a second pairing strategy; for each first user, determining a second user corresponding to the first user according to a pairing strategy corresponding to the first user, and determining a user group corresponding to the second user corresponding to the first user, wherein the user group comprises a first user group corresponding to the first pairing strategy and a second user group corresponding to the second pairing strategy; respectively counting parameter values of preset statistical parameters corresponding to each pair of first users and second users in the first user group and the second user group; based on the parameter values, determining a comparison result of the first pairing strategy and the second pairing strategy, and selecting a target pairing strategy based on the comparison result.

Computer program code for carrying out operations of the present disclosure may be written in one or more programming languages, including, but not limited to, an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units involved in the embodiments of the present disclosure may be implemented by means of software, or may be implemented by means of hardware. The name of the module is not limited to the unit itself in some cases, for example, the first determining module may also be described as "a module for determining, according to information interaction requests sent by the received multiple first users, a pairing policy corresponding to each first user".

The functions described above herein may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a Complex Programmable Logic Device (CPLD), and the like.

In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

The foregoing description is only of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by persons skilled in the art that the scope of the disclosure referred to in this disclosure is not limited to the specific combinations of features described above, but also covers other embodiments which may be formed by any combination of features described above or equivalents thereof without departing from the spirit of the disclosure. Such as those described above, are mutually substituted with the technical features having similar functions disclosed in the present disclosure (but not limited thereto).

Moreover, although operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. In certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limiting the scope of the present disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.

Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are example forms of implementing the claims.

Claims

1. An information interaction method, comprising:

responding to the information interaction request sent by the inviting user, and determining a pairing user corresponding to the inviting user based on a target pairing strategy selected by a predetermined pairing strategy selection scheme;

sending the information interaction request to the paired user so as to enable the inviting user to interact with the paired user in information; wherein the method comprises the steps of

The pairing strategy selection scheme is determined in advance based on the following steps:

determining a pairing strategy corresponding to each first user according to the received information interaction requests sent by a plurality of first users, wherein the pairing strategy comprises a first pairing strategy and a second pairing strategy; for each first user, determining a second user corresponding to the first user according to a pairing strategy corresponding to the first user, and determining a user group corresponding to the second user corresponding to the first user, wherein the user group comprises a first user group corresponding to the first pairing strategy and a second user group corresponding to the second pairing strategy; respectively counting parameter values of preset statistical parameters corresponding to each pair of first users and second users in the first user group and the second user group; determining a comparison result of the first pairing strategy and the second pairing strategy based on the parameter value, and selecting a target pairing strategy based on the comparison result;

The determining the user group corresponding to the first user and the second user corresponding to the first user includes: judging whether the first user has a first history grouping record or not, and determining a user group corresponding to the first user based on the first history grouping record of the first user in response to determining that the first user has the first history grouping record; judging whether the second user has a second history grouping record or not, and determining a user group corresponding to the second user according to a judging result;

the determining whether the second user has the second history packet record, and determining the user group corresponding to the second user according to the determination result includes:

responsive to determining that the second user does not have a second history grouping record, dividing the second user into user groups corresponding to the first user, and determining the user groups corresponding to the first user as user groups corresponding to the second user;

responsive to determining that the second user has a second historical packet record, determining a user group corresponding to the second user based on the second historical packet record of the second user; and

the statistics of parameter values of preset statistical parameters corresponding to each pair of the first user and the second user in the first user group and the second user group respectively includes:

Judging whether the user group corresponding to the second user is the same as the user group corresponding to the first user, and

and in response to determining that the user group corresponding to the second user is the same as the user group corresponding to the first user, counting the obtained parameter value corresponding to the preset statistical parameter into the user group corresponding to the first user.

2. The method of claim 1, wherein the counting parameter values of the preset statistical parameters corresponding to each pair of the first user and the second user in the first user group and the second user group, respectively, further comprises:

responsive to determining that the user group corresponding to the second user is different from the user group corresponding to the first user, determining whether the first user and the second user have historical information interaction data, and

and in response to determining that the first user and the second user have no historical information interaction data, counting the obtained parameter values corresponding to the preset statistical parameters into the user group corresponding to the first user.

3. The method of claim 2, wherein the counting parameter values of the preset statistical parameters corresponding to each pair of the first user and the second user in the first user group and the second user group, respectively, further comprises:

In response to determining that the first user has historical information interaction data with the second user, determining whether the historical information interaction data is consistent with current information interaction data, and

and in response to determining that the historical information interaction data is consistent with the current information interaction data, counting the obtained parameter values corresponding to the preset statistical parameters into the user group corresponding to the first user.

4. The method of claim 3, wherein the counting parameter values of the preset statistical parameters corresponding to each pair of the first user and the second user in the first user group and the second user group, respectively, further comprises:

and responding to the fact that the historical information interaction data are inconsistent with the current information interaction data, and not counting the obtained parameter values corresponding to the preset statistical parameters.

5. The method of claim 1, wherein the determining the group of users to which the first user corresponds to the second user to which the first user corresponds further comprises:

in response to determining that the first user does not have the first historical packet record, hash the first user; and determining a user group corresponding to the first user according to the hash grouping result.

6. An information interaction device, comprising:

the determining module is used for determining a pairing user corresponding to the inviting user based on a target pairing strategy selected by a predetermined pairing strategy selection scheme in response to receiving an information interaction request sent by the inviting user;

the sending module is used for sending the information interaction request to the paired user so as to enable the inviting user to interact with the paired user in information; wherein the method comprises the steps of

7. An electronic device, comprising:

one or more processors;

storage means having stored thereon one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the method of any of claims 1-5.

8. A computer readable medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the method according to any of claims 1-5.