JP7068999B2 - Information processing equipment, information processing methods and information processing programs - Google Patents

Description

The present invention relates to an information processing apparatus, an information processing method and an information processing program.

Conventionally, there has been known a technique of automatically guessing a user's intention to output different distribution information for each user based on the guessed intention after the user selects display information (for example,). Patent Document 1).

Japanese Unexamined Patent Publication No. 2014-134995

The technique of Patent Document 1 has a problem that the distribution information cannot be output based on the degree of understanding of the distribution information by the user.

The present invention has been made in view of the above, and provides an information processing device, an information processing method, and an information processing program capable of outputting distribution information based on a user's understanding of the distribution information. The purpose is to do.

In order to solve the above-mentioned problems and achieve the purpose, the information processing apparatus estimates the user genre, which is the genre corresponding to the user, based on the acquisition unit for acquiring the user information and the user information. It is characterized by having an estimation unit for information processing and an output unit for outputting content including a metaphorical expression related to the user genre.

INDUSTRIAL APPLICABILITY According to the present invention, it is possible to provide an information processing device, an information processing method, and an information processing program capable of outputting distribution information based on a user's understanding of the distribution information.

FIG. 1 is an explanatory diagram illustrating an example of an information processing apparatus according to an embodiment. FIG. 2 is a diagram showing a configuration of an information processing system including the information processing device of FIG. FIG. 3 is a control block diagram of the information processing apparatus of FIG. FIG. 4 is a diagram showing an example of a display screen displayed by the output unit of FIG. FIG. 5 is a diagram showing an example of a display screen displayed by the output unit of FIG. FIG. 6 is a diagram showing an example of the user attribute database of FIG. FIG. 7 is a diagram showing an example of the behavior history database of FIG. FIG. 8 is a diagram showing an example of the genre language expression database of FIG. FIG. 9 is a flowchart of the information processing method according to the embodiment. FIG. 10 is a hardware configuration diagram showing an example of a computer that realizes the functions of the information processing device.

Hereinafter, embodiments according to the present invention will be described in detail with reference to the drawings. The present invention is not limited to this embodiment. In addition, the components in the embodiment include those that can be easily replaced by those skilled in the art, or those that are substantially the same. Furthermore, the components described below can be combined as appropriate.

[1. An example of the information processing device 10]
FIG. 1 is an explanatory diagram illustrating an example of an information processing apparatus according to an embodiment. As shown in FIG. 1, the information processing apparatus 10 which is an example of the information processing apparatus according to the embodiment responds to the access 43 which is an input to call the distribution information 45 from the user terminal 40 used by the user 41. Therefore, the metaphorical expression 47 generated based on the distribution information 45 is output.

Here, the distribution information 45 includes news that can be uploaded and viewed on the Internet, as well as explanations of products or services (services) and word-of-mouth information posted by users of the products or services (services). Etc. are exemplified.

As shown in FIG. 1, the information processing apparatus 10 estimates a user genre 28, which is a genre (category) related to the user 41, based on the user information 27 of the user 41 who executed the access 43. Here, the user information 27 is information including, for example, at least one of the attribute 25 of the user 41 and the action history 26 of the user 41.

The attribute 25 of the user 41 refers to the personal information of the user 41, and specifically, information such as gender, age, residential area, industry, occupation, etc. is exemplified. Further, the attribute 25 of the user 41 is not limited to the personal information of the user 41 at the time when the information processing by the information processing apparatus 10 is executed, and may include information past the time. That is, the attribute 25 of the user 41 may be historical information of the personal information of the user 41.

The action history 26 of the user 41 refers to information related to the history of actions taken through the user terminal 40 of the user 41, specifically, a search history related to the use of a search engine on the Internet, and on the Internet. Browsing history and the like for various pages that can be uploaded and viewed on the Internet are exemplified. The search history includes, for example, the date and time of the search, the search word, and the like. The browsing history includes, for example, browsing information which is various information posted on the browsed page and the date and time of browsing.

The user genre 28 is a genre corresponding to the user 41. More specifically, the user genre 28 is a genre that is familiar to the user 41 and may have a deep level of knowledge of the user 41, that is, a genre that may have a high degree of understanding. In the present embodiment, the user genre 28 is, for example, a genre that is frequently and long-contacted based on the attribute 25 of the user 41, a search word that the user 41 is searching for frequently, and a search word that is frequently browsed. It corresponds to the genre to which the browsing information belongs. The genres adopted in the user genre 28 are diverse, for example, place names such as Tokyo and Osaka, and events such as baseball and soccer.

Further, as shown in FIG. 1, the information processing apparatus 10 is a distribution information 45 that has received an input to be called by an access 43 by the user 41, based on a language, an expression, or the like belonging to the user genre 28. The esoteric information 46, which is unfamiliar to the 41, may have an insufficient level of knowledge of the user 41, and is assumed to have a high degree of difficulty, is specified.

Then, as shown in FIG. 1, the information processing apparatus 10 is familiar to the user 41 and has a difficulty level of understanding by using a language and an expression belonging to the user genre 28 based on the difficult information 46. The reduced metaphorical expression 47 is generated, and the content including the metaphorical expression 47 is output to the user terminal 40 together with the distribution information 45 or in place of the esoteric information 46 in the distribution information 45.

The user terminal 40 includes a mobile phone including a high-performance mobile phone (so-called smartphone), a tablet terminal, a notebook-type or desktop-type PC (Personal Computer), a personal digital assistant (PDA) as a mobile information terminal, and glasses. It is an information processing terminal exemplified as a type or clock type wearable device (Wearable Device).

The user terminal 40 has a function of accepting an operation input by the user 41. Further, the user terminal 40 has a function for using the information processing device 10, for example, a function of acquiring various information from the information processing device 10 and displaying it on the display unit of the user terminal 40, and a user 41. It has a function of generating various information according to the operation input from the information processing apparatus 10 and transmitting the information to the information processing apparatus 10. The user terminal 40 performs these various functions by executing software or an application for using the information processing device 10 or executing an Internet browser function for using the information processing device 10. Realize.

Specifically, the user terminal 40 displays a page on the Internet for accessing the information processing device 10 and accessing the distribution information 45 received from the information processing device 10, and the user 41 displays this page. By transmitting the access 43 to the information processing device 10, information such as contents including the metaphorical expression 47 processed by the information processing device 10 is received and displayed.

[2. An example of information processing system 1]
Next, the configuration of the information processing system 1 including the information processing apparatus 10 will be described with reference to FIG. FIG. 2 is a diagram showing a configuration of an information processing system 1 including the information processing device 10 of FIG. As shown in FIG. 2, the information processing system 1 includes an information processing device 10 and a user terminal 40. In the information processing system 1, the information processing device 10 and the user terminal 40 are connected to each other via a communication network 50 so that information can be communicated by wire or wirelessly. The information processing system 1 is not limited to the configuration including the number of devices and terminals shown in FIG. 2, and may include a plurality of devices and terminals connected to each other via a communication network 50 so as to be capable of information communication. good.

[3. Configuration of information processing device 10]
Next, the configuration of the information processing apparatus 10 will be described with reference to FIG. FIG. 3 is a control block diagram of the information processing apparatus 10 of FIG. As shown in FIG. 3, the information processing apparatus 10 includes a processing unit 10A, a storage unit 10B, and an information communication interface 10C.

(About processing unit 10A)
The processing unit 10A is a controller, and for example, various programs stored in the storage unit 10B, which is a storage device inside the information processing device 10, by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like. (Corresponding to an example of an information processing program) is realized by executing RAM (Random Access Memory) as a work area. Further, the processing unit 10A is, for example, a controller, and is realized by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array). The processing unit 10A is connected to an information communication interface 10C that accepts input of information from the user terminal 40 and outputs information to the user terminal 40.

As shown in FIG. 3, the processing unit 10A is electrically connected to the storage unit 10B and the information communication interface 10C so as to be able to communicate with each other, and functions as a control unit for controlling each of these components. That is, the processing unit 10A functions as a control unit together with the storage unit 10B to cause the information processing apparatus 10 to execute the information processing method according to the embodiment of the present invention.

As shown in FIG. 3, the processing unit 10A includes an input unit 11, an acquisition unit 12, an estimation unit 13, a difficult information identification unit 14, a metaphor expression generation unit 15, an output unit 16, and a database creation unit 17. And have. The input unit 11 receives various information input from an external terminal including the user terminal 40 via the communication network 50 via the information communication interface 10C. Specifically, the input unit 11 receives the access 43 input by the user 41 at the user terminal 40. The input unit 11 also accepts the input of information that the terminal that transmitted the access 43 is the user 41 who uses the user terminal 40. The input unit 11 also receives various information necessary for creating the user attribute database 21, the action history database 22, and the genre language expression database 23, which will be described later.

The input unit 11 creates a predetermined screen for receiving the access 43, transmits it to the user terminal 40 via the information communication interface 10C and the communication network 50, and the user 41 visually recognizes the display unit of the user terminal 40. By displaying it as possible, the user 41 is urged to transmit the access 43 to the information processing apparatus 10 based on the input to the predetermined screen displayed on the user terminal 40. The predetermined screen may be any screen as long as it can accept the access 43, and a page on the Internet to which a link for accepting the access 43 is attached is exemplified as a suitable screen.

The acquisition unit 12 acquires at least one of the attribute 25 of the user 41 and the action history 26 of the user 41 for which the input unit 11 has received the input of the access 43 as the user information 27. The acquisition unit 12 acquires the attribute 25 of the user 41 from the user attribute database 21 described later. Further, the acquisition unit 12 acquires the action history 26 of the user 41 from the action history database 22 described later.

The estimation unit 13 estimates the user genre 28, which is a genre corresponding to the user 41, based on the user information 27 acquired by the acquisition unit 12. Specifically, the estimation unit 13 estimates the user genre 28 based on the depth of knowledge of the user 41. For example, based on the attribute 25 of the user 41 included in the user information 27 acquired by the acquisition unit 12, the estimation unit 13 sets a genre that is frequently and long-contacted and has few blanks as the user genre 28. Estimate one or more. Further, the estimation unit 13 includes, for example, a language and an expression included in the search word and browsing information included in the user information 27 acquired by the acquisition unit 12, and the number of appearances of the language and expression in the user information 27. , One or more user genres 28, which are genres closely related to the user 41, are estimated based on the genre to which the language and expression belong and the degree of similarity between the language and expression.

The difficult information identification unit 14 is unfamiliar to the user 41 and has a high degree of difficulty in the distribution information 45 called by the user 41 based on the language and expression belonging to the user genre 28 estimated by the estimation unit 13. The esoteric information 46 that is assumed to be is specified. Specifically, the esoteric information specifying unit 14 is a portion of the distribution information 45 in which the usage ratio of the language and expression belonging to the user genre 28 is smaller than a predetermined threshold value, that is, the language used in the distribution information 45. And the part where the similarity between the expression and the language and expression belonging to the user genre 28 is lower than the predetermined threshold value is not familiar to the user 41 because it is a part not belonging to the user genre 28, and it is difficult. It is specified as difficult information 46 which is assumed to have a high degree.

The metaphorical expression generation unit 15 generates a metaphorical expression 47 using a language and an expression belonging to the user genre 28 estimated by the estimation unit 13 based on the difficult information 46 specified by the difficult information identification unit 14. Specifically, the metaphorical expression generation unit 15 refers to a language and expression that do not belong to the user genre 28 in the difficult information 46, in consideration of the relationship with the language and expression, and a language that belongs to the corresponding user genre 28. And by substituting for expressions, metaphorical expressions 47 are generated.

The estimation unit 13, the esoteric information identification unit 14, and the metaphorical expression generation unit 15 all execute the above processing using the genre language expression database 23 described later, which is a database that contrasts each genre with the language and expression. do.

The output unit 16 outputs each information generated by the processing unit 10A and transmits the information to the user terminal 40 via the information communication interface 10C and the communication network 50. The output unit 16 outputs the content including the metaphorical expression 47 relating to the user genre 28 generated by the metaphorical expression generation unit 15. The output unit 16 outputs the content including the metaphorical expression 47 based on the distribution information 45 called by the access 43.

For example, the output unit 16 may add the metaphorical expression 47 as supplementary information and output it in parallel together with the distribution information 45, in place of the esoteric information 46 which is a part or the whole of the distribution information 45, that is, the esoteric information. 46 may be changed to output the metaphorical expression 47. For example, when the distribution information 45 is news information, the output unit 16 outputs the distribution information 45 and supplementary information in order to output the facts described in the distribution information 45 without twisting the facts described in the distribution information 45 due to the nature of the news information. It is preferable to output the metaphorical expression 47 and the metaphorical expression 47 together. Further, in order to enable the user 41 to easily understand and take into consideration the content of the distribution information 45 without facing the difficult information 46, rather than the distribution information 45 itself, when the distribution information 45 is the posted information. , It is preferable to output the metaphorical expression 47 instead of the esoteric information 46.

Specifically, when the metaphorical expression 47 is output, the output unit 16 is exemplified on the display screen 51 (see FIG. 4) and the display screen 55 (see FIG. 5) based on the distribution information 45 and the metaphorical expression 47. Screen is generated and output. The display screen 51 and the display screen 55 will be described later.

The database creation unit 17 creates a user attribute database 21, an action history database 22, and a genre language expression database 23, which will be described later. Further, the database creation unit 17 updates the created user attribute database 21, action history database 22, and genre language expression database 23 at any time.

First, the database creation unit 17 first identifies the user 41 registered in, for example, an electronic commerce site (EC (Electronic Commerce) site) via the input unit 11 of the user ID (Identifier) 24 and the user 41. The attribute 25 is acquired from the electronic commerce server that provides the electronic commerce site. The database creation unit 17 then creates the user attribute database 21 by associating the acquired user ID 24 of the user 41 with the attribute 25 of the user 41. The database creation unit 17 updates the user attribute database 21 as appropriate as the user ID 24 of the user 41 or the attribute 25 of the user 41 is updated.

First, the database creation unit 17 acquires, for example, the search history of the user 41 input to the Internet search site from the Internet search server that provides the Internet search site via the input unit 11. The database creation unit 17 also acquires, for example, the browsing history of the user 41 from the server operated by the provider contracted by the user 41 via the input unit 11. In this way, the database creation unit 17 acquires the action history 26 of the user 41 via the input unit 11. Next, the database creation unit 17 creates the action history database 22 by associating the user ID 24 that identifies the user 41 with the action history 26 of the user 41. The database creation unit 17 updates the action history database 22 as appropriate as the user ID 24 of the user 41 or the action history 26 of the user 41 is updated.

First, the database creation unit 17 acquires various online information that is readable and uploaded on the Internet via the input unit 11. Next, the database creation unit 17 extracts the language and the expression from the online information, and also extracts the information of the genre tagged or the like with the online information. The database creation unit 17 then obtains the degree of relevance to the information of each genre for these languages and expressions, and assumes that the relevance belongs to a genre whose relevance is equal to or higher than a predetermined threshold, and each of these languages and expressions. The genre language expression database 23 is created by associating with the genre. The database creation unit 17 uses a method such as machine learning or clustering to consider the similarity of the extracted language and expression, and executes the integrated process by associating the extracted language and expression with the genre. , The genre language expression database 23 may be created. The database creation unit 17 updates the genre language expression database 23 as appropriate as various online information is updated.

Each unit included in the processing unit 10A, that is, the input unit 11, the acquisition unit 12, the estimation unit 13, the difficult information identification unit 14, the metaphorical expression generation unit 15, the output unit 16, and the database creation unit 17 are all the processing unit 10A. Is a functional part realized by executing an information processing program. The detailed functions of the input unit 11, the acquisition unit 12, the estimation unit 13, the difficult information identification unit 14, the metaphorical expression generation unit 15, and the output unit 16 will be described in the detailed description of the information processing method described later.

(About storage unit 10B)
The storage unit 10B is realized by, for example, a semiconductor memory element such as a ROM (Read Only Memory), a RAM (Random Access Memory), or a flash memory (Flash Memory), or a storage device such as a hard disk or an optical disk. The storage unit 10B stores and stores the user attribute database 21, the action history database 22, and the genre language expression database 23.

(About information and communication interface 10C)
The information communication interface 10C is a wired or wireless information communication interface, and connects the processing unit 10A and the user terminal 40 to each other via a communication network 50 by wire or wirelessly so as to be able to communicate with each other. The information communication interface 10C receives each information input and transmitted by the user terminal 40, for example, the access 43 which is an input to call the distribution information 45, and transmits the information to the input unit 11. Further, the information communication interface 10C receives each information generated by the processing unit 10A, for example, the display screen 51 and the display screen 55 for outputting the metaphorical expression 47 from the processing unit 10A, and transmits the information to the user terminal 40. ..

(About display screen 51)
FIG. 4 is a diagram showing an example of a display screen 51 displayed by the output unit 16 of FIG. As shown in FIG. 4, the display screen 51 is related to a news article, and has a distribution information display unit 52 for displaying distribution information 45 and a metaphorical expression display unit 53 for displaying the metaphorical expression 47. The display screen 51 is displayed when the genre of the distribution information 45 is soccer and the user genre 28 is baseball, and by outputting the metaphorical expression 47 in which the strength of the soccer team is replaced with the baseball team. , The user genre 28 is intuitively easy to understand for the user 41 who is a baseball player. Further, since the display screen 51 is news information, in order to output the facts described in the distribution information 45 without twisting, the distribution information 45 is output as it is without being processed, and the distribution information 45 is used as supplementary information. Is also output in a small font with the metaphorical expression 47 written together.

(About display screen 55)
FIG. 5 is a diagram showing an example of a display screen 55 displayed by the output unit 16 of FIG. As shown in FIG. 5, the display screen 55 is related to word-of-mouth communication, and has a distribution information display unit 56 for displaying the distribution information 45 and a metaphorical expression display unit 57 for displaying the metaphorical expression 47. The display screen 55 is displayed when the genre of the distribution information 45 is Osaka and the user genre 28 is Tokyo, and outputs a metaphorical expression 47 in which the complexity of the underground shopping mall in Umeda is replaced with the underpass in Shinjuku. As a result, the user genre 28 is intuitively easy to understand for the user 41 in Tokyo. Since the display screen 55 is posted information, it is not necessary to describe the distribution information 45 as it is. Therefore, instead of the difficult information 46 in the distribution information 45, only the metaphorical expression 47 is output, for example, the distribution information display. There may be a form in which there is no part 56 and only the metaphorical expression display part 57 is provided.

(About user attribute database 21)
FIG. 6 is a diagram showing an example of the user attribute database 21 of FIG. As shown in FIG. 6, the user attribute database 21 is a database in which the user ID 24 that identifies the user 41 and the attribute 25 of the user 41 are associated with each other. Note that FIG. 6 shows only the personal information of the user 41 at the time when the information processing by the information processing apparatus 10 is executed as the attribute 25 of the user 41, but the present invention is not limited to this, and from that time onward. It is preferable to further include past information.

(About action history database 22)
FIG. 7 is a diagram showing an example of the action history database 22 of FIG. As shown in FIG. 7, the action history database 22 is a database in which a user ID 24 for identifying a user 41 and an action history 26 including a search history and a browsing history of the user 41 are associated with each other. The search history is associated with the search date and time, the search word, and the like, respectively. The browsing history is associated with the browsing date and time, the browsing destination, and the like, respectively.

(About genre language expression database 23)
FIG. 8 is a diagram showing an example of the genre language expression database 23 of FIG. As shown in FIG. 8, the genre language expression database 23 is a database in which the genre 31 is associated with the languages and expressions 32 belonging to the genre 31. In the present embodiment, the genre language expression database 23 adopts the original database created by the database creation unit 17, but the present invention is not limited to this, and external dictionary data, knowledge database, etc. Can be suitably adopted.

[4. An example of information processing]
The operation of the information processing apparatus 10 according to the embodiment of the present invention will be described below. FIG. 9 is a flowchart of the information processing method according to the embodiment. Regarding the information processing method according to the embodiment of the present invention executed by the information processing apparatus 10, the input unit 11, the acquisition unit 12, the estimation unit 13, the esoteric information identification unit 14, the metaphorical expression generation unit 15, and the output of the information processing apparatus 10 It will be described with reference to FIG. 9 together with the detailed functions of the part 16. The information processing method according to the embodiment is executed by the input unit 11, the acquisition unit 12, the estimation unit 13, the difficult information identification unit 14, the metaphorical expression generation unit 15, and the output unit 16 of the processing unit 10A of the information processing apparatus 10. As shown in 9, the input step S11, the acquisition step S12, the estimation step S13, the difficult information identification step S14, the metaphorical expression generation step S15, and the output step S16 are included.

The input step S11 is a step in which the input unit 11 accepts the input of the access 43, which is the input to call the distribution information 45, which is input by the user 41 at the user terminal 40. In the input step S11, the input unit 11 also accepts the input of the information that the terminal that transmitted the access 43 is the user 41 who uses the user terminal 40.

Specifically, in the input step S11, the input unit 11 first creates a predetermined screen for accepting the access 43, transmits it to the user terminal 40 via the information communication interface 10C and the communication network 50, and uses it. By visually displaying the user 41 on the display unit of the user terminal 40, the user so as to transmit the access 43 to the information processing apparatus 10 based on the input to the predetermined screen displayed on the user terminal 40. Prompt 41. In the input step S11, the input unit 11 subsequently receives the access 43 input to the predetermined screen via the information communication interface 10C and the communication network 50, thereby accepting the input of the access 43.

The acquisition step S12 is a step in which the acquisition unit 12 acquires the user information 27 related to the user 41 who uses the user terminal 40 that has received the input in the input step S11. In the acquisition step S12, for example, at least one of the attribute 25 of the user 41 and the action history 26 of the user 41 is acquired as the user information 27. In the acquisition step S12, specifically, the acquisition unit 12 has the attributes of the user 41 from the user attribute database 21 shown in FIG. 6 for the user 41 using the user terminal 40 that has received the input in the input step S11. 25 is acquired, and user information 27 is acquired by acquiring the action history 26 of the user 41 from the action history database 22 shown in FIG. 7.

The estimation step S13 is a step in which the estimation unit 13 estimates the user genre 28, which is a genre corresponding to the user 41, based on the user information 27 acquired by the acquisition unit 12. Specifically, the estimation unit 13 estimates the user genre 28 based on the depth of the knowledge level of the user 41 estimated based on the user information 27.

For example, in the estimation step S13, the estimation unit 13 estimates the user genre 28 based on the attribute 25 of the user 41 included in the user information 27 acquired by the acquisition unit 12. In the estimation step S13, specifically, one or a plurality of genres in which the estimation unit 13 is in contact frequently and for a long time and has few blanks as the user genre 28 as a genre with a deep knowledge level of the user 41. presume. In the estimation step S13, for example, based on the history and transition of the personal information of the user 41, the genre corresponding to the element corresponding to the element that has not been changed for a long time and continues until the time when the information processing is executed. Is estimated as the most influential user genre 28, and the genre corresponding to the element that has been changed for a long time but is estimated to have few blanks due to the recent change is estimated as the next influential user genre 28.

Further, for example, in the estimation step S13, the estimation unit 13 estimates the user genre 28 based on the action history 26 of the user 41 included in the user information 27 acquired by the acquisition unit 12. In the estimation step S13, specifically, the estimation unit 13 first extracts the language and the expression included in the search word and the browsing information included in the action history 26 of the user 41, and these extracted languages and the expression are extracted. Based on the number of appearances of the expression and the proximity to the present when the language and expression appear, the frequency of appearance is numerically evaluated for each of the extracted languages and expressions. Here, the appearance frequency evaluation is a parameter that increases as the number of appearances of the language and expression increases, and increases as the time when the language and expression appear more recently.

In the estimation step S13, the estimation unit 13 then refers to the genre language expression database 23 shown in FIG. 8 to extract the genre to which the language and the expression belong. In the estimation step S13, the estimation unit 13 performs a numerical relevance evaluation based on the numerical value of the appearance frequency evaluation of the language and the expression belonging to the genre for each extracted genre. Here, the relevance evaluation of the genre is calculated by, for example, the total value of the numerical values of the appearance frequency evaluation of the language and the expression belonging to the genre, and a large number of languages and expressions having a large numerical value of the appearance frequency evaluation belong to the genre. It is a parameter that increases as it increases. In the estimation step S13, the estimation unit 13 finally relates to the genre in which the numerical value of the relevance evaluation for each extracted genre is equal to or higher than a predetermined threshold value as a genre having a deep knowledge level of the user 41. It is estimated to be the user genre 28, which is a deep genre of.

In the estimation step S13, the estimation unit 13 sets the user genre 28, which is a genre closely related to the user 41 whose user ID 24 shown in FIGS. 6 and 7 is XYZ00001, as the user genre 28 from the attribute 25 of the user 41. "Tokyo" is estimated, and "baseball" is estimated from the action history 26 of the user 41.

In the difficult information identification step S14, the knowledge level of the user 41 is insufficient in the distribution information 45 called by the user 41 based on the user genre 28 estimated by the difficult information identification unit 14 in the estimation step S13. This is a step of identifying the esoteric information 46 that is presumed to be.

Specifically, in the difficult information specifying step S14, the difficult information specifying unit 14 first decomposes the distribution information 45 into units for each paragraph, one sentence, or one phrase. Here, one paragraph is mainly determined by line breaks, one sentence is mainly determined by punctuation marks, and one phrase is mainly determined by reading points. do.

In the esoteric information specifying step S14, the esoteric information specifying unit 14 next, in the distribution information 45, is a unit of the portion of the distribution information 45 in which the usage ratio of the language and the expression belonging to the user genre 28 is smaller than the predetermined threshold value, that is, the distribution information. Because the unit of the part where the similarity between the language and expression used in 45 and the language and expression belonging to the user genre 28 is lower than the predetermined threshold value is a part not belonging to the user genre 28. It is specified as difficult information 46, which is unfamiliar to the user 41, may have an insufficient level of knowledge of the user 41, and is assumed to have a high degree of difficulty.

That is, in the difficult information specifying step S14, the difficult information specifying unit 14 determines whether or not the difficult information 46 is the difficult information 46 for each paragraph, one sentence, or one phrase of the distribution information 45. The unit of the portion determined to be is specified as the difficult information 46.

In the esoteric information specifying step S14, the esoteric information specifying unit 14 accesses, for example, the user 41 whose user ID 24 shown in FIGS. 6 and 7 is XYZ00001 to the distribution information 45 related to the news article shown in FIG. When 43 is input, since the entire distribution information 45 belongs to the "soccer" genre and does not belong to the user genre 28, the entire distribution information 45 is specified as the esoteric information 46.

In the difficult information specifying step S14, the difficult information specifying unit 14 accesses, for example, the user 41 whose user ID 24 shown in FIGS. 6 and 7 is XYZ00001 to the distribution information 45 related to the word-of-mouth article shown in FIG. When 43 is input, the unit (1 phrase) of the part of the distribution information 45 that is "in the middle of the Umeda dungeon" belongs to the "Osaka" genre and does not belong to the user genre 28. The phrase is specified as esoteric information 46.

The metaphorical expression generation step S15 is a step in which the metaphorical expression generation unit 15 generates a metaphorical expression 47 relating to the user genre 28 estimated in the estimation step S13 based on the esoteric information 46 specified in the esoteric information specifying step S14.

In the metaphorical expression generation step S15, specifically, the metaphorical expression generation unit 15 corresponds to a language and an expression that do not belong to the user genre 28 in the esoteric information 46 in consideration of the relationship with the language and the expression. The metaphorical expression 47 is generated by substituting the language and expression belonging to the user genre 28. That is, in the metaphorical expression generation step S15, the metaphorical expression generation unit 15 generally maintains the relationship between the language and the expression that do not belong to the user genre 28 in the difficult information 46, and the user genre corresponding to the language and the expression. By substituting with the language and expression belonging to 28, the metaphorical expression 47 is generated. In the metaphorical expression generation step S15, it is preferable that the metaphorical expression generation unit 15 selects a user genre 28 that is relatively close to the genre of the esoteric information 46 and generates the metaphorical expression 47.

In the metaphorical expression generation step S15, for example, the metaphorical expression generation unit 15 has access to the distribution information 45 related to the news article shown in FIG. 4 by the user 41 whose user ID 24 shown in FIGS. 6 and 7 is XYZ00001. When 43 is input, the entire distribution information 45, which is the difficult information 46, is used while maintaining the relationship between "Japan (national team)" and "Colombia (national team)" in the genre "soccer". By substituting "high school baseball club" and "major league team" belonging to "baseball" which is the person genre 28, the metaphorical expression 47 is generated. In the metaphorical expression generation step S15, the metaphorical expression generation unit 15 selects "baseball", which is a user genre 28, which is relatively close to "soccer", which is the genre of difficult information 46, in the sense of the same sports field. Then, since the metaphorical expression 47 is generated, the metaphorical expression 47 is easy to understand.

In the metaphorical expression generation step S15, for example, the metaphorical expression generation unit 15 accesses the distribution information 45 related to the word-of-mouth article shown in FIG. 5 by the user 41 whose user ID 24 shown in FIGS. 6 and 7 is XYZ00001. If you enter 43, the unit (1 phrase) of the part of the distribution information 45 that is "in the middle of the Umeda dungeon" is the relationship between "Umeda" in the genre "Osaka" and "dungeon" that expresses its nature. By substituting "Shinjuku" belonging to the user genre 28 "Tokyo" and "underpass" expressing its properties, the metaphorical expression 47 is generated. In the metaphorical expression generation step S15, the metaphorical expression generation unit 15 selects “Tokyo”, which is a user genre 28 that is relatively close to the genre “Osaka” of the difficult information 46 in the sense of the same place name field. Then, since the metaphorical expression 47 is generated, the metaphorical expression 47 is easy to understand.

The output step S16 is a step in which the output unit 16 outputs the metaphorical expression 47 generated in the metaphorical expression generation step S15. In the output step S16, the output unit 16 outputs the content including the metaphorical expression 47 based on the distribution information 45 called by the access 43.

In the output step S16, for example, the user 41 whose user ID 24 shown in FIGS. 6 and 7 is XYZ00001 inputs an access 43 to the distribution information 45 related to the news article shown in FIG. In this case, the display screen 51 shown in FIG. 4 is generated and output together with the metaphorical expression 47 belonging to the user genre 28 “baseball” generated based on the esoteric information 46 belonging to the genre “soccer”.

In the output step S16, for example, the user 41 whose user ID 24 shown in FIGS. 6 and 7 is XYZ00001 inputs an access 43 to the distribution information 45 related to the word-of-mouth article shown in FIG. In this case, the display screen 55 shown in FIG. 5 is generated and output together with the metaphorical expression 47 belonging to the user genre 28 “Tokyo” generated based on the esoteric information 46 belonging to the genre “Osaka”.

[5. Hardware configuration]
The information processing apparatus 10 according to the above-described embodiment is realized by, for example, a computer 1000 having a configuration as shown in FIG. FIG. 10 is a hardware configuration diagram showing an example of a computer 1000 that realizes the functions of the information processing apparatus 10. The computer 1000 has a CPU 1100, a RAM 1200, a ROM 1300, an HDD 1400, a communication interface (I / F) 1500, an input / output interface (I / F) 1600, and a media interface (I / F) 1700.

The CPU 1100 operates based on a program stored in the ROM 1300 or the HDD 1400, and controls each part. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 is started, a program depending on the hardware of the computer 1000, and the like.

The HDD 1400 stores a program executed by the CPU 1100, data used by such a program, and the like. The communication interface 1500 receives data from another device via the communication network 500 and sends it to the CPU 1100, and transmits the data generated by the CPU 1100 to the other device via the communication network 500.

The CPU 1100 controls an output device such as a display or a printer, and an input device such as a keyboard or a mouse via the input / output interface 1600. The CPU 1100 acquires data from the input device via the input / output interface 1600. Further, the CPU 1100 outputs the data generated via the input / output interface 1600 to the output device.

The media interface 1700 reads a program or data stored in the recording medium 1800 and provides the program or data to the CPU 1100 via the RAM 1200. The CPU 1100 loads the program from the recording medium 1800 onto the RAM 1200 via the media interface 1700, and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or PD (Phase change rewritable Disk), a magneto-optical recording medium such as MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. And so on.

For example, when the computer 1000 functions as the information processing apparatus 10 according to the embodiment, the CPU 1100 of the computer 1000 realizes the function of the processing unit 10A by executing the program loaded on the RAM 1200. Further, the data in the storage unit 10B is stored in the HDD 1400. The CPU 1100 of the computer 1000 reads these programs from the recording medium 1800 and executes them, but as another example, these programs may be acquired from another device via the communication network 500.

[6. others〕
Further, among the processes described in the above-described embodiment, all or a part of the processes described as being automatically performed can be manually performed, or the processes described as being manually performed can be performed. All or part of it can be done automatically by a known method. In addition, information including processing procedures, specific names, various data and parameters shown in the above documents and drawings can be arbitrarily changed unless otherwise specified. For example, the various information shown in each figure is not limited to the information shown in the figure.

Further, each component of each of the illustrated devices is a functional concept, and does not necessarily have to be physically configured as shown in the figure. That is, the specific form of distribution / integration of each device is not limited to the one shown in the figure, and all or part of them may be functionally or physically distributed / physically in any unit according to various loads and usage conditions. Can be integrated and configured. For example, information such as the user attribute database 21, the action history database 22, and the genre language expression database 23 stored in the storage unit 10B shown in FIG. 3 is transmitted via a network such as the information communication interface 10C and the communication network 50. It may be stored in a predetermined storage device provided externally.

Further, in the above embodiment, the information processing apparatus 10 comprises, for example, an input step S11, an acquisition step S12, an estimation step S13, a difficult information identification step S14, a metaphorical expression generation step S15, and an output step S16. By doing so, an example of executing the information processing method according to the embodiment is shown. However, the information processing apparatus 10 described above includes an input device that performs the input step S11, an acquisition device that performs the acquisition step S12, an estimation device that performs the estimation step S13, and a difficult information identification device that performs the difficult information identification step S14. The metaphorical expression generation device that performs the metaphorical expression generation step S15 and the output device that performs the output step S16 may be separated. The processing related to the information processing method by the information processing device 10 is information processing including an input device, an acquisition device, an estimation device, a difficult information identification device, a metaphorical expression generation device, and an output device. Realized by the system.

Further, the above-described embodiments and modifications can be appropriately combined as long as the processing contents do not contradict each other.

[7. effect〕
As described above, the information processing apparatus 10 according to the embodiment includes an acquisition unit 12, an estimation unit 13, and an output unit 16. The acquisition unit 12 acquires the user information 27. The estimation unit 13 estimates the user genre 28, which is a genre corresponding to the user 41, based on the user information 27. The output unit 16 outputs content including a metaphorical expression 47 relating to the user genre 28.

As described above, since the information processing apparatus 10 according to the embodiment outputs the metaphorical expression 47 relating to the user genre 28 corresponding to the user 41, it is possible to convert the distribution information 45 into something familiar to the user 41. can. That is, the information processing apparatus 10 according to the embodiment makes it possible to output the distribution information 45 based on the degree of understanding of the distribution information 45 of the user 41.

Further, the estimation unit 13 estimates the user genre 28 based on the depth of the knowledge level of the user 41.

As described above, since the information processing apparatus 10 according to the embodiment outputs the metaphorical expression 47 based on the depth of the knowledge level of the user 41, the depth of the knowledge level of the distribution information 45 of the user 41 is obtained. It is possible to appropriately output the distribution information 45 based on the above.

Further, the acquisition unit 12 acquires at least one of the attribute 25 of the user 41 and the action history 26 of the user 41 as the user information 27, and the estimation unit 13 acquires at least one of the attribute 25 and the action history 26. Based on either, the depth of knowledge of the user 41 is estimated.

As described above, the information processing apparatus 10 according to the embodiment uses the attribute 25 in which the career of the user 41 appears and the behavior history 26 in which the interest of the user 41 appears, and the depth of knowledge of the user 41 is deep. Therefore, it is possible to estimate the depth of the knowledge level of the user 41 with high accuracy, and accordingly, the user genre 28 can be estimated more appropriately.

Further, the output unit 16 further has an input unit 11 that receives an input to call the distribution information 45 from the user 41, and the output unit 16 outputs the content based on the distribution information 45.

As described above, the information processing apparatus 10 according to the embodiment can output the content including the metaphorical expression 47 in response to the access 43 to the distribution information 45 by the user 41.

Further, based on the user genre 28 estimated by the estimation unit 13, the esoteric information identification unit 14 for specifying the esoteric information 46 whose knowledge level of the user 41 is estimated to be insufficient in the distribution information 45, and the esoteric information It further has a metaphorical expression generation unit 15 that generates a metaphorical expression 47 regarding the user genre 28 estimated by the estimation unit 13 based on the esoteric information 46 specified by the specific unit 14.

As described above, the information processing apparatus 10 according to the embodiment generates and outputs the metaphorical expression 47 relating to the user genre 28 based on the difficult information 46 which is assumed to be difficult for the user 41, and thus distributes the information. 45 can be converted into something that is easy for the user 41 to understand.

Further, the output unit 16 outputs the distribution information 45 and the metaphorical expression 47 as supplementary information in parallel.

As described above, the information processing apparatus 10 according to the embodiment enables the user 41 to recognize the original distribution information 45 in comparison with the metaphorical expression 47.

Further, the output unit 16 outputs the news information as the distribution information 45.

As described above, the information processing apparatus 10 according to the embodiment outputs the facts described in the distribution information 45 without twisting the facts described in the distribution information 45 due to the nature of the news information, thereby outputting the distribution information 45 in consideration of the distributor. be able to.

Further, the output unit 16 outputs the metaphorical expression 47 instead of the difficult information 46 in the distribution information 45.

As described above, the information processing apparatus 10 according to the embodiment enables the user 41 to substantially recognize the distribution information 45 by recognizing the metaphorical expression 47 without facing the esoteric information 46. ..

Further, the output unit 16 outputs the posted information as the distribution information 45.

As described above, since the information processing apparatus 10 according to the embodiment does not output the esoteric information 46 itself by the poster who posted the posted information, the user 41 does not face the esoteric information 46 more easily than the distribution information 45 itself. Allows you to understand and take into account the content of your posts.

Further, the information processing method according to the embodiment includes an acquisition step S12, an estimation step S13, and an output step S16. The acquisition step S12 is a step of acquiring the user information 27. The estimation step S13 is a step of estimating the user genre 28, which is a genre corresponding to the user 41, based on the user information 27. The output step S16 is a step of outputting the content including the metaphorical expression 47 relating to the user genre 28.

As described above, since the information processing method according to the embodiment outputs the metaphorical expression 47 relating to the user genre 28 corresponding to the user 41, the distribution information 45 can be converted into one familiar to the user 41. .. That is, the information processing method according to the embodiment makes it possible to output the distribution information 45 based on the degree of understanding of the distribution information 45 of the user 41.

Further, the information processing program according to the embodiment is for causing the computer 1000 to execute the acquisition procedure, the estimation procedure, and the output procedure. The acquisition procedure is a procedure for acquiring user information 27. The estimation procedure is a procedure for estimating the user genre 28, which is a genre corresponding to the user 41, based on the user information 27. The output procedure is a procedure for outputting content including the metaphorical expression 47 relating to the user genre 28.

As described above, the information processing program according to the embodiment causes the computer 1000 to output the metaphorical expression 47 relating to the user genre 28 corresponding to the user 41, so that the distribution information 45 is converted into one familiar to the user 41. Can be made to. That is, the information processing program according to the embodiment enables the computer 1000 to output the distribution information 45 based on the degree of understanding of the distribution information 45 of the user 41.

The embodiments of the present application have been described in detail with reference to the drawings, but this is an example, and various modifications and improvements are made based on the knowledge of those skilled in the art, including the embodiments described in the disclosure column of the invention. It is possible to carry out the present invention in other forms described above.

Further, the above-mentioned "section, module, unit" can be read as "means" or "circuit". For example, the estimation unit can be read as an estimation means or an estimation circuit.

1 Information processing system 10 Information processing device 10A Processing unit 10B Storage unit 10C Information communication interface 11 Input unit 12 Acquisition unit 13 Estimate unit 14 Difficult information identification unit 15 Metaphorical expression generation unit 16 Output unit 17 Database creation unit 21 User attribute database 22 Behavior history database 23 Genre language expression database 25 Attributes 26 Behavior history 27 User information 28 User genre 43 Access 45 Delivery information 46 Difficult information 47 Metaphorical expression

Claims (9)

The acquisition department that acquires user information and
Based on the user information, an estimation unit that estimates the user genre, which is the genre corresponding to the user, and the estimation unit.
An output unit that outputs content including metaphorical expressions related to the user genre, and
An input unit that accepts an input to call distribution information from the user,
Based on the user genre estimated by the estimation unit, the esoteric information specifying unit that specifies as esoteric information the portion of the distribution information in which the usage ratio of the language and expression belonging to the user genre is smaller than a predetermined threshold value. ,
A metaphorical expression generation unit that generates a metaphorical expression related to the user genre estimated by the estimation unit based on the esoteric information specified by the esoteric information identification unit.
Have,
The output unit outputs the content based on the distribution information.
An information processing device characterized by this. The estimation unit estimates the user genre based on the depth of knowledge of the user corresponding to the frequency of appearance of language and expression .
The information processing apparatus according to claim 1. The acquisition unit acquires at least one of the user's attribute and the user's behavior history as the user information.
The estimation unit estimates the depth of knowledge of the user based on at least one of the attribute and the behavior history.
The information processing apparatus according to claim 2. The output unit outputs the distribution information and the metaphorical expression as supplementary information in parallel.
The information processing apparatus according to any one of claims 1 to 3 . The output unit outputs news information as the distribution information.
The information processing apparatus according to claim 4 . The output unit outputs the metaphorical expression in place of the esoteric information in the distribution information.
The information processing apparatus according to claim 4 . The output unit outputs the posted information as the distribution information.
The information processing apparatus according to claim 6 . It is a generation method executed by an information processing device.
The acquisition process to acquire user information and
An estimation process for estimating a user genre, which is a genre corresponding to a user, based on the user information, and an estimation process .
An output process that outputs content including metaphorical expressions related to the user genre, and
An input process that accepts an input to call distribution information from the user,
Based on the user genre estimated by the estimation process, the esoteric information specifying step of specifying the portion of the distribution information in which the usage ratio of the language and expression belonging to the user genre is smaller than a predetermined threshold value is specified as esoteric information. ,
A metaphorical expression generation step of generating a metaphorical expression relating to the user genre estimated by the estimation process based on the esoteric information specified by the esoteric information specifying process.
Have,
The output step outputs the content based on the distribution information.
An information processing method characterized by that . The acquisition procedure to acquire user information and
An estimation procedure for estimating a user genre, which is a genre corresponding to a user, based on the user information, and an estimation procedure.
An output procedure for outputting content including metaphorical expressions related to the user genre, and
The input procedure for accepting the input to call the distribution information from the user,
Based on the user genre estimated by the estimation procedure, the esoteric information specifying procedure for specifying as esoteric information the portion of the distribution information in which the usage ratio of the language and expression belonging to the user genre is smaller than a predetermined threshold value. ,
A metaphorical expression generation procedure for generating a metaphorical expression relating to the user genre estimated by the estimation procedure based on the esoteric information specified by the esoteric information specifying procedure.
Have,
The output procedure outputs the content based on the distribution information.
An information processing program that lets a computer do things .

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