JP6702625B2 - Information processing apparatus, information processing method, and information processing program - Google Patents

Description

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

2. Description of the Related Art Conventionally, there is known a technique of analyzing a user's preference and presenting information of interest or likely to the user. For example, a technique has been proposed in which the answers to the questions distributed to the users are matched based on the similarity between the profiles of the users.

JP 2012-168653 A

However, in the above-mentioned conventional technique, it is not always possible to provide information suitable for the user. Specifically, in the above-described related art, only the answer suitable for the user is matched based on the similarity between the profiles of the users, and it is not always possible to provide the information suitable for the user.

The present application has been made in view of the above, and an object thereof is to provide an information processing device, an information processing method, and an information processing program that can provide information suitable for a user.

The information processing apparatus according to the present application is a service that receives a post of a question from a questioner who is a first user and receives an answer to the received question from a respondent who is a second user other than the first user. An acquisition unit that acquires question information about a question posted to the first service and action information about an action history on a network of a user who uses a second service that is another service different from the first service; A selection unit for selecting a user who is a candidate for an answerer who provides an answer to the question from the users who use the second service, based on the question information and the behavior information acquired by the acquisition unit. It is characterized by

According to the aspect of the embodiment, it is possible to provide information suitable for the user.

FIG. 1 is a diagram illustrating an example of information processing according to the embodiment. FIG. 2 is a diagram illustrating a configuration example of the information processing apparatus according to the embodiment. FIG. 3 is a diagram illustrating an example of the search information storage unit according to the embodiment. FIG. 4 is a diagram illustrating an example of the UGC usage information storage unit according to the embodiment. FIG. 5 is a diagram illustrating an example of the question information storage unit according to the embodiment. FIG. 6 is a flowchart showing an estimation processing procedure according to the embodiment. FIG. 7 is a flowchart showing an estimation processing procedure according to the embodiment. FIG. 8 is a flowchart showing an information processing procedure according to the embodiment. FIG. 9 is a hardware configuration diagram illustrating an example of a computer that realizes the functions of the information processing device.

Hereinafter, modes (hereinafter, referred to as “embodiments”) for implementing an information processing device, an information processing method, and an information processing program according to the present application will be described in detail with reference to the drawings. Note that the information processing apparatus, the information processing method, and the information processing program according to the present application are not limited to this embodiment. Also, in each of the following embodiments, the same parts are designated by the same reference numerals, and duplicate description will be omitted.

[1. Example of information processing]
First, an example of information processing according to the embodiment will be described with reference to FIG. FIG. 1 is a diagram illustrating an example of information processing according to the embodiment. In the example of FIG. 1, the information processing system 1 includes a user terminal 10, a log server 20, and an information processing device 100.

The user terminal 10, the log server 20, and the information processing apparatus 100 are connected to each other via a predetermined communication network such as a network N (see FIG. 2, for example) in a wired or wireless manner. The information processing system 1 shown in FIG. 1 may include an arbitrary number of user terminals 10, an arbitrary number of log servers 20, and an arbitrary number of information processing apparatuses 100.

The user terminal 10 is an information processing device used by a user. The user terminal 10 executes an application installed in the user terminal 10 (hereinafter sometimes referred to as “app”). The user terminal 10 is realized by, for example, a smartphone, a tablet terminal, a notebook PC (Personal Computer), a desktop PC, a mobile phone, a PDA (Personal Digital Assistant), or the like. FIG. 1 shows a case where the user terminal 10 is a smartphone. In the following, the user terminal 10 may be referred to as a user. That is, in the following, the user can be read as the user terminal 10.

In the following, the user identified by the user ID “U11” may be referred to as “user U11”. Thus, in the following, when "user U* (* is an arbitrary numerical value)" is described, it means that the user is a user identified by the user ID "U*". For example, when described as “user U21”, the user is the user identified by the user ID “U21”.

Further, in the example illustrated in FIG. 1, the user terminal 10 will be described as the user terminals 10-11 and 10-21 according to the user who uses the user terminal 10. For example, the user terminal 10-11 is the user terminal 10 used by the user U11. Further, for example, the user terminal 10-21 is the user terminal 10 used by the user U21. Further, in the following, the user terminals 10-11 and 10-21 will be referred to as the user terminal 10 in the case of being described without distinction.

The log server 20 holds action information regarding an action history on the network of a user who uses a predetermined service provided via the network. In the example illustrated in FIG. 1, the log server 20 acquires search information regarding a search history of a search user who uses the search service from a predetermined server device that provides the search service. For example, the log server 20 acquires, as the search information, information regarding the search query searched by the search user.

In addition, the log server 20 uses UGC (User Generated Content), which is content generated by a user, from a predetermined server device that uses UGC-related services, and uses UGC-related information regarding UGC-related service history of the user who uses the UGC-related services. To get. UGC refers to content posted on various social media such as SNS (Social Networking Service) and social news, text posted on blogs and mini blogs, still images posted on photo sharing services and video sharing services, and so on. It means content generated by the user, such as moving images, reviews and impressions posted on word-of-mouth sites, product reviews of electronic commerce services, and the like.

For example, the log server 20 acquires, as the UGC usage information, the posted information about the posting history of the posted information posted by the user from a predetermined server device that provides services related to various social media such as SNS and social news. Further, the log server 20 acquires, as UGC usage information, posting information regarding a posting history in which a user posts a sentence from a predetermined server device that provides services related to blogs and miniblogs. In addition, the log server 20 acquires, as the UGC usage information, post information relating to a posting history of a still image or a moving image of a user from a predetermined server device that provides a photo sharing service or a video sharing service. In addition, the log server 20 acquires posted information regarding a posting history in which a user posts a review or impression from a predetermined server device that provides a review service. In addition, the log server 20 acquires posted information regarding a posting history of posting a product review regarding a product purchased by a user from a predetermined server device that provides an electronic commerce service. Note that the log server 20 may acquire, as the UGC usage information, the posted information of another user with respect to the posted information posted by a predetermined user. For example, the log server 20 has pressed a button press history of another user pressing the “Like” button or a “helpful” button for a parent article that is posted information posted by a predetermined user. Information regarding the button press history may be acquired as the post information.

The information processing apparatus 100 receives a question post from a questioner who is a first user and provides a Q&A service that is a service that receives an answer to the received question from a respondent who is another second user different from the first user. It is a server device provided. In the example illustrated in FIG. 1, the information processing apparatus 100 receives a question post from the user U11 who is the questioner.

Further, the information processing apparatus 100 determines the Q&A service based on the question information about the question posted to the Q&A service and the action information about the action history on the network of the user who uses another service different from the Q&A service. A user who is an answerer candidate who provides an answer to a question is selected from users who use different other services. In the example illustrated in FIG. 1, the information processing apparatus 100 acquires, as another service different from the Q&A service, action information regarding the action history on the network of the user who uses the search service from the log server 20. Then, the information processing apparatus 100 selects one of the users who use the search service based on the question information about the question posted to the Q&A service and the action information about the action history on the network of the user who uses the search service. The user U21 is selected as a user who is a candidate for an answerer who provides an answer to the question.

Hereinafter, an example of information processing according to the embodiment will be described with reference to FIG. In the example illustrated in FIG. 1, the information processing apparatus 100 acquires, from the log server 20, the search information regarding the search history of the search user who uses the search service and the UGC use information regarding the use history of the service regarding UGC (step S11).

Subsequently, when the information processing apparatus 100 acquires the search information of the search user, the information processing apparatus 100 estimates a field of interest, which is a field in which the search user is interested or is interested, based on the acquired search information (step S12). For example, the information processing apparatus 100 extracts the search query “smartphone replacement period”, “smartphone replacement timing”, “smartphone model change period”, and the like, which are search queries searched by the search user U21, based on the acquired search information. In addition, the information processing apparatus 100 decomposes the phrase included in the extracted search query into words by morphological analysis. Subsequently, the information processing apparatus 100 uses a weight value such as tf-idf (Term Frequency, Inverse Document Frequency) from among the words and phrases included in the extracted search query, and searches according to the weight of each word. The word "smartphone" is extracted as a word frequently appearing in the search query of the user U21. Next, the information processing apparatus 100 refers to dictionary data in various fields such as sports, business, economy, politics, natural sciences, and culture, and estimates that the field corresponding to the extracted word is "smartphone". .. Then, the information processing apparatus 100 estimates that "smartphone", which is a field corresponding to the word extracted from the search information, is a field of interest of the search user U21. Similarly, the information processing apparatus 100 estimates that "smartphone", which is a field corresponding to the word extracted from the search information, is a field of interest of the search user U22 and the search user U23.

When the user terminal 10-11 calls the standby application AP1 in the foreground according to the operation of the user U11, the content C11 including the input field for inputting a question and the posting button for posting the question is sent from the information processing apparatus 100. get. Subsequently, when the user terminal 10-11 acquires the content C11, the user terminal 10-11 displays the acquired content C11 on the display screen. Subsequently, when the user U11 inputs a question in the input field and the posting button is pressed, the user terminal 10-11 transmits information regarding the question input by the user U11 to the information processing apparatus 100. The information processing apparatus 100 receives the question posting from the user U11 by receiving the information regarding the question from the user terminal 10-11 (step S13).

Subsequently, when the information processing apparatus 100 receives the posting of the question, the information processing apparatus 100 estimates the question field corresponding to the question based on the question information regarding the received question (step S14). For example, when the information processing apparatus 100 receives a post of a question from the user U11, the information processing apparatus 100 uses the morphological analysis, which is the question sentence received from the user U11, “I want to buy a new smartphone, but I do not know when to buy it again. The words and phrases included in “” are decomposed into words such as “smartphone”, “replacement”, “timing”, and “time”. Subsequently, the information processing apparatus 100 uses a weight value such as tf-idf from among the words included in the extracted search query and frequently appears in the question text of the user U11 according to the weight of each word. The word "smartphone" is extracted as a word. Subsequently, the information processing apparatus 100 refers to the dictionary data and estimates that the field corresponding to the extracted word is “smartphone”. Subsequently, the information processing apparatus 100 estimates that “smartphone”, which is a field corresponding to the word extracted from the question sentence, is a question field corresponding to the question received from the user U11.

Subsequently, the information processing apparatus 100 extracts answerer candidates from the search users U21 to U23 having an interest field that matches the “smartphone” that is the question field corresponding to the question received from the user U11 (step S15). .. For example, the information processing apparatus 100 estimates the relevance between the search information and the question information of the search users U21 to U23 having an interest field that matches the “smartphone” that is the question field corresponding to the question received from the user U11. For example, the information processing apparatus 100 estimates that the higher the degree of matching between the word frequently appearing in the search query of the search user and the word frequently appearing in the question sentence, the higher the relevance between the search information and the question information. Subsequently, the information processing apparatus 100 selects the search users U21 and U22 from among the search users U21 to 23 having the interest field that matches the question field, in which the relevance between the search information and the question information exceeds a predetermined threshold value. Extract as a respondent candidate.

Then, the information processing apparatus 100 selects an answerer candidate who can easily answer the question from the extracted search users U21 to 23 based on the acquired UGC usage information of the search user (step S16). For example, the information processing apparatus 100 estimates that the higher the frequency of use of the UGC by the search user, the easier the user is to answer the question based on the acquired UGC use information of the search user. For example, the information processing apparatus 100 estimates that the search user U21 is a user who is easy to answer a question because the UGC usage frequency of the search user U21 exceeds a predetermined threshold. Further, the information processing apparatus 100 estimates that the search user U22 is a user who is difficult to answer the question because the UGC usage frequency of the search user U22 is equal to or less than the predetermined threshold. Therefore, the information processing apparatus 100 selects the search user U21 among the search users U21 and U22 as the answerer candidate who can easily answer the question.

Subsequently, the information processing apparatus 100 delivers the push notification regarding the question to the search user U21, which is the selected answerer candidate (step S17).

Upon receiving the push notification from the information processing device 100, the user terminal 10-21 outputs the push notification regarding the question to the display screen by the application AP2 installed in the user terminal 10-21 (step S18). Specifically, when the user terminal 10-21 receives the push notification from the information processing apparatus 100, the user terminal 10-21 acquires the content C21 related to the push notification from the predetermined content server. Subsequently, when the user terminal 10-21 acquires the content C21, the user terminal 10-21 displays the content C21 acquired by the application AP2 on the display screen.

As described above, the information processing apparatus 100 includes question information regarding a question posted in the Q&A service, and action information regarding an action history on the network of a search user who uses a search service that is another service different from the Q&A service. To get. Then, the information processing apparatus 100 selects, based on the acquired question information and behavior information, a user who is an answerer candidate who provides an answer to the question from among the search users who use the search service. Accordingly, the information processing apparatus 100 can select, from among the search users, the search user who has searched for the search query related to the question information regarding the question posted in the Q&A service, as an answerer candidate. In general, a search user takes the action of searching to obtain knowledge that he or she does not know, so a search user who searches for a certain search query is interested in at least knowledge in the field related to the search query. It can be estimated that That is, the information processing apparatus 100 can select a search user who is interested in the question field corresponding to the question posted in the Q&A service from among the search users as a candidate for the respondent. Then, generally, a user who is interested in a question field corresponding to a question is considered to be a user who is more likely to take an action of providing an answer to the question than a user who is not.

In addition, the information processing apparatus 100 can select a search user who has the motivation to teach the knowledge acquired by the search to other users as the answerer candidate. Generally, it is easy for a person to have an incentive to teach others the knowledge that he or she has learned. For example, a search user is likely to have an incentive to teach other users the knowledge acquired by the search. Therefore, the search user has the motivation to teach the knowledge acquired by the search to other users as compared with the users of other services, and thus the user who is more likely to take the action of providing the answer to the question regarding the knowledge acquired by the search. Is considered to be.

Further, the information processing apparatus 100 can select a search user who is likely to take an action of using UGC as a respondent candidate from the search users. Generally, it can be said that a user who is likely to take an action to use a service related to UGC is a user who is more likely to react to content generated by another user than a user who is not. The question posted on the Q&A service is a type of content generated by another user. Therefore, it is presumed that the user who is likely to take the action of using the service related to UGC is the user who is likely to take the action of providing the answer to the question posted in the Q&A service.

In this way, the information processing apparatus 100 can select a user who is likely to take an action of providing an answer to the question posted in the Q&A service as an answerer candidate. That is, the information processing apparatus 100 can match the respondent candidates suitable for the question. Therefore, the information processing apparatus 100 can provide information suitable for both the user selected as the answerer candidate and the user who is the questioner. Therefore, the information processing apparatus 100 can provide the information suitable for the user.

Note that FIG. 1 illustrates an example in which the information processing apparatus 100 acquires the behavior information regarding the behavior history of the user on the network from the log server 20, but the information processing apparatus 100 sends the user information from a predetermined server apparatus that provides each service. The behavior information regarding the behavior history on the network may be directly acquired. For example, the information processing apparatus 100 acquires search information regarding the search history of the search user who uses the search service from a predetermined server device that provides the search service. In addition, the information processing apparatus 100 acquires UGC usage information regarding a usage history of the UGC-related service of a user who uses the UGC-related service from a predetermined server apparatus that provides the UGC-related service.

[2. Configuration of information processing device]
Next, the configuration of the information processing device 100 according to the embodiment will be described with reference to FIG. FIG. 2 is a diagram illustrating a configuration example of the information processing device 100 according to the embodiment. As shown in FIG. 2, the information processing device 100 includes a communication unit 110, a storage unit 120, and a control unit 130. The information processing apparatus 100 includes an input unit (for example, a keyboard and a mouse) that receives various operations from an administrator of the information processing apparatus 100, and a display unit (for example, a liquid crystal display) for displaying various information. You may have.

(Communication unit 110)
The communication unit 110 is realized by, for example, a NIC (Network Interface Card) or the like. The communication unit 110 is connected to a network by wire or wirelessly, and transmits and receives information to and from the user terminal 10 and the log server 20, for example.

(Storage unit 120)
The storage unit 120 is realized by, for example, a semiconductor memory device such as a RAM (Random Access Memory) or a flash memory (Flash Memory), or a storage device such as a hard disk or an optical disk. As shown in FIG. 2, the storage unit 120 includes a search information storage unit 121, a UGC usage information storage unit 122, and a question information storage unit 123.

(Search information storage unit 121)
The search information storage unit 121 stores various information regarding the search history. FIG. 3 shows an example of the search information storage unit according to the embodiment. In the example illustrated in FIG. 3, the search information storage unit 121 has items such as “user ID”, “search date and time”, and “search query”.

The “user ID” indicates identification information for identifying a search user who uses the search service. In the example shown in the first record of FIG. 3, the search user identified by the user ID “U21” is the search user U21 shown in FIG.

“Search date and time” indicates the date and time when the search was performed. In the example shown in the first record of FIG. 3, the search date and time “2018/5/1 PM 16:00” is that the search date and time by the search user U21 is 16:00 pm on May 1, 2018. Indicates.

"Search query" indicates a search query searched by a search user. In the example shown in the first record of FIG. 3, the search query “smartphone replacement timing” indicates that the search query searched by the search user U21 is “smartphone replacement timing”.

(UGC usage information storage unit 122)
The UGC usage information storage unit 122 stores various kinds of information regarding the usage history of UGC. FIG. 4 shows an example of the UGC usage information storage unit according to the embodiment. In the example shown in FIG. 4, the UGC usage information storage unit 122 has items such as “user ID”, “usage date/time”, “usage mode”, and “posted information”.

The “user ID” indicates identification information for identifying a search user who has used the UGC-related service. In the example shown in the first record of FIG. 4, the user identified by the user ID “U21” indicates the search user U21 shown in FIG.

The “date and time of use” indicates the date and time when the service related to UGC was used. In the example shown in the first record of FIG. 4, the date and time of use “2018/5/1 PM 17:00” is the date and time when the search user U21 posted an article to SNS1 at 17:00 pm on May 1, 2018. Indicates that there is.

“Usage mode” indicates a usage mode in which a service related to UGC is used. For example, the usage mode includes a usage mode of posting a content and a usage mode of pressing a button indicating an evaluation of the posted content. In the example shown in the first record of FIG. 4, the usage form “SNS1 posting” indicates that the search user U21 uses SNS1 by posting a posted article to SNS1. Further, in the example shown in the eighth record of FIG. 4, as for the usage mode “press “Like” button”, the search user U23 browses the parent article posted on the SNS and presses the “Like” button. This means that the SNS is used.

The “posted information” indicates posted information posted by the search user to the service related to UGC (posted information related to the parent article if the operation by the search user is pressing a button). In the example shown in the first record of FIG. 4, the posted information “SNS1 posted article #21” indicates the posted article posted by the search user U21 on SNS1. Further, in the example shown in the eighth record of FIG. 4, the posted information “parent article #23” indicates the parent article browsed by the search user U23 and pressed the “Like” button.

(Question information storage unit 123)
The question information storage unit 123 stores various kinds of information regarding questions posted to the Q&A service. FIG. 5 shows an example of the question information storage unit according to the embodiment. In the example shown in FIG. 5, the question information storage unit 123 has items such as “user ID”, “question date and time”, “question sentence”, and “answer status”.

“User ID” indicates identification information for identifying the user who posted the question to the Q&A service. In the example shown in the first record of FIG. 5, the user identified by the user ID “U11” is the user U11 shown in FIG.

“Question date and time” indicates the date and time when the question was posted to the Q&A service. In the example shown in the first record of FIG. 5, the question date and time “2018/5/1 20:00” is the date and time when the question was posted to the Q&A service by the user U11 at 20:00 pm on May 1, 2018. Indicates that there is.

“Question sentence” indicates a sentence regarding a question posted on the Q&A service. In the example shown in the first record of Fig. 5, the question sentence "I want to replace the smartphone, but I do not know when to replace it. Please give advice on when to replace the smartphone." Shows the text about the posted question.

The “answer status” indicates the answer status of the question posted on the Q&A service. In the example shown in the first record of FIG. 5, the response status “response being accepted” indicates that the response to the question posted to the Q&A service by the user U11 is being accepted. In the example shown in the second record of FIG. 5, the answer status “solved” indicates that the question posted by the user U21 to the Q&A service has been solved and the acceptance of the answer has been closed.

(Control unit 130)
Returning to the description of FIG. 2, the control unit 130 is a controller, and is stored in a storage device inside the information processing device 100 by, for example, a CPU (Central Processing Unit) or an MPU (Micro Processing Unit). It is realized by executing various programs (corresponding to an example of the generation program) that are stored in the RAM as a work area. The control unit 130 is a controller and is realized by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

As shown in FIG. 2, the control unit 130 includes an acquisition unit 132, a reception unit 131, an estimation unit 133, a selection unit 134, and a distribution unit 135, and realizes the operation of information processing described below. Or run. The internal configuration of the control unit 130 is not limited to the configuration shown in FIG. 2, and may be another configuration as long as it is a configuration for performing information processing described later.

(Reception part 131)
The accepting unit 131 accepts posting of a question from a questioner who is a user of the Q&A service. Specifically, when the user terminal 10-11 calls the application AP1 in the foreground, the reception unit 131 sends the content C11 including an input field for inputting a question and a posting button for posting the question to the user terminal 10-11. Send to. Subsequently, when the user U11 inputs a question in the input field of the content C11 and presses the post button, the reception unit 131 receives information regarding the question input by the user U11 from the user terminal 10-11. The reception unit 131 receives a question post from the user U11 by receiving the question information regarding the question from the user terminal 10-11. When accepting the posting of a question, the accepting unit 131 stores question information regarding the accepted question in the question information storage unit 123. Further, the accepting unit 131 may accept question information, which is voice information by the voice of the user U11, from the smart speaker of the user U11. For example, the reception unit 131 stores the question information, which is the voice information received from the smart speaker of the user U11, and the identification information for identifying the smart speaker, which is the user terminal 10-11, in the question information storage unit 123 in association with each other. In addition, the reception unit 131 receives postings of answers from respondents who are users of the Q&A service. For example, when the respondent candidate selected by the selection unit 134 opens the push notification distributed by the distribution unit 135, the reception unit 131 includes content including an input field for inputting an answer and a posting button for posting a question. Is transmitted to the user terminal 10 which is a candidate for answerer. Then, when the answer is input to the input field of the content by the answerer candidate and the posting button is pressed, the reception unit 131 receives the answer information regarding the answer input by the answerer candidate from the user terminal 10. The accepting unit 131 may also accept answer information, which is voice information of the answerer candidate's voice, from the answerer candidate's smart speaker.

(Acquisition unit 132)
The acquisition unit 132 receives the posting of the question from the questioner who is the first user, and adds the answer to the received question to the first service that is a service that receives the answer from the respondent who is another second user different from the first user. The question information regarding the posted question and the action information regarding the action history on the network of the user who uses the second service which is another service different from the first service are acquired. Specifically, the acquisition unit 132 acquires question information regarding the question accepted by the acceptance unit 131. For example, the acquisition unit 132 acquires the question information regarding the question posted in the Q&A service from the question information storage unit 123.

Further, the acquisition unit 132 acquires, as the behavior information, search information regarding the search history of the user who uses the search service that is the second service. For example, the acquisition unit 132 acquires, from the log server 20, search information regarding the search history of the search user who uses the search service. When acquiring the search information of the search user, the acquisition unit 132 stores the acquired search information in the search information storage unit 121 in association with the user ID.

In addition, the acquisition unit 132 acquires, as the behavior information, UGC usage information related to the usage history of the service related to UGC of the user who uses the second service. For example, the acquisition unit 132 acquires, from the log server 20, UGC usage information related to a service usage history related to UGC of a search user who uses the search service. When acquiring the UGC usage information of the search user, the acquisition unit 132 stores the acquired UGC usage information in the UGC usage information storage unit 122 in association with the user ID.

(Estimation unit 133)
The estimation unit 133 estimates, based on the question information and the behavior information acquired by the acquisition unit 132, an index regarding whether or not the user who uses the second service takes an action of providing an answer to the question. Specifically, the estimation unit 133 estimates the relevance between the question information and the behavior information as an index regarding whether or not the user who uses the second service takes an action of providing an answer to the question. For example, the estimation unit 133 estimates the field of interest, which is a field in which the search user is interested or is interested, based on the search information of the search user acquired by the acquisition unit 132. Further, the estimation unit 133 estimates the question field corresponding to the question based on the question information regarding the question accepted by the acceptance unit 131. Subsequently, the estimation unit 133 estimates the relevance between the search information and the question information of the search user who has the interest field that matches the question field. The estimating unit 133 estimates that a user having a higher degree of association between the search information and the question information is more likely to take an action of providing an answer to the question.

For example, the estimation unit 133 refers to the search information storage unit 121 and extracts the search query included in the search information acquired by the acquisition unit 132. Then, the estimation unit 133 decomposes the words included in the extracted search query into words by morphological analysis. In addition, the estimation unit 133 uses a weight value such as tf-idf or the like, and extracts words frequently appearing in the search query from the phrases included in the search query according to the weight of each word. Subsequently, the estimation unit 133 estimates the field corresponding to the extracted word by referring to dictionary data in various fields such as sports, business, economy, politics, natural science, and culture. In this way, the estimation unit 133 estimates that the field corresponding to the word extracted from the search information is the field of interest of the search user.

Further, the estimation unit 133 estimates the question field corresponding to the question based on the question information regarding the question acquired by the acquisition unit 132. For example, the estimation unit 133 decomposes the phrase included in the accepted question sentence into words by morphological analysis. In addition, the estimation unit 133 uses the weight value such as tf-idf to extract the words frequently appearing in the question sentence from the phrases included in the question sentence according to the weight of each word. Subsequently, the estimation unit 133 estimates the field corresponding to the extracted word by referring to dictionary data in various fields such as sports, business, economy, politics, natural science, and culture. In this way, the estimation unit 133 estimates that the field corresponding to the word extracted from the question sentence is the question field corresponding to the question.

Subsequently, the estimation unit 133 estimates the relevance between the search information and the question information of the search user who has the interest field that matches the question field corresponding to the received question. For example, the estimation unit 133 estimates that the higher the degree of matching between the word frequently appearing in the search query of the search user and the word frequently appearing in the question sentence, the higher the relevance between the search information and the question information. For example, the estimation unit 133 may include a word whose weight value such as tf-idf out of the words included in the search query searched by the search user exceeds a predetermined threshold value and a weight value such as tf-idf out of the words included in the question sentence. It may be estimated that the relevance between the search information and the question information is high when the ratio of overlapping with a word having a predetermined threshold value exceeds a predetermined threshold value.

In addition, the estimation unit 133 determines whether the user who uses the second service behaves to use the service related to UGC as an index regarding whether the user who uses the second service behaves to provide an answer to the question. Estimate the UGC usage index for The estimation unit 133 estimates that a user who is more likely to take an action of using a service related to UGC is a user who is more likely to take an action of providing an answer to a question.

For example, the estimation unit 133 refers to the UGC usage information storage unit 122, and calculates the usage frequency at which the search user uses UGC as a UGC usage index, based on the UGC usage information of the search user acquired by the acquisition unit 132. You may. Further, the estimation unit 133 may refer to the UGC usage information storage unit 122 and calculate the usage frequency for each usage mode in which the search user uses UGC as a UGC usage index. For example, the estimation unit 133 calculates the UGC usage index by weighting the usage frequency of the usage mode of posting the content more than the usage frequency of the usage mode of pressing the button indicating the evaluation of the posted content. You may. The estimation unit 133 estimates that the higher the frequency of use of the UGC by the search user, the more likely the search user is to take the action of using the service related to UGC. For example, the estimation unit 133 may estimate that the search user is a user who is likely to take an action to use the service related to UGC when the UGC usage frequency of the search user exceeds a predetermined threshold. In addition, the estimation unit 133 may estimate that the search user is a user who is unlikely to take an action to use the service related to UGC when the UGC usage frequency of the search user is equal to or less than a predetermined threshold.

(Selection unit 134)
Based on the question information and the behavior information acquired by the acquisition unit 132, the selection unit 134 selects a user who is an answerer candidate who provides an answer to the question from the users who use the second service. Specifically, the selection unit 134 selects a user who is a respondent candidate who provides an answer to the question from the users who use the second service, based on the index estimated by the estimation unit 133. For example, the selection unit 134 selects a user who is an answerer candidate who provides an answer to the question from users who have a relationship between the behavior information estimated by the estimation unit 133 and the question information that exceeds a predetermined threshold.

More specifically, the selecting unit 134 determines, based on the search information acquired by the acquiring unit 132, among the search users whose relevance between the search information estimated by the estimating unit 133 and the question information exceeds a predetermined threshold value. From among the above, a user who is an answerer candidate who provides an answer to the question is selected. For example, the selection unit 134 extracts, as answerer candidates, search users who have a relevance between the estimated search information and the question information exceeding a predetermined threshold value from search users having an interest field that matches the question field. Next, the selection unit 134 extracts, as answerer candidates, search users whose relevance between the search information and the question information exceeds a predetermined threshold value from among the search users who have an interest field that matches the question field.

In addition, the selection unit 134 selects a user who is an answerer candidate who provides an answer to the question from the users who use the second service, based on the UGC usage information acquired by the acquisition unit 132. For example, the selection unit 134 selects, based on the UGC usage index estimated by the estimation unit 133, a user who is an answerer candidate who provides an answer to the question from the users who use the search service. For example, the selection unit 134 selects a user who is a candidate for an answerer who provides an answer to the question from the users whose UGC usage frequency estimated by the estimation unit 133 exceeds a predetermined threshold value.

(Distribution unit 135)
The delivery unit 135 delivers the notification regarding the question to the users who are the respondent candidates selected by the selection unit 134. Specifically, when the selection unit 134 selects a user who is an answerer candidate, the delivery unit 135 delivers a push notification, which is a notification regarding a question, to the user who is an answerer candidate selected by the selection unit 134. .. For example, the distribution unit 135 distributes a push notification that prompts the user who is the candidate for the answer to provide the answer to the question. For example, the delivery unit 135 uses a weight value such as tf-idf to extract words frequently appearing in the question sentence from the phrases included in the question sentence. Next, the delivery unit 135 uses the extracted words to generate push notification content including a title and a sentence that briefly summarizes the content regarding the question. Subsequently, the distribution unit 135 specifies the device token that identifies the user terminal 10 of the user who is the distribution destination of the push notification, and transmits the generated content for push notification to the push notification execution server that executes the push notification. .. The push notification execution server delivers the content for push notification to the user terminal 10 in which the predetermined application AP2 is activated.

[3. Estimation processing flow]
Next, the procedure of the estimation process according to the embodiment will be described with reference to FIG. FIG. 6 is a flowchart showing an estimation processing procedure according to the embodiment. In the example illustrated in FIG. 6, the information processing apparatus 100 determines whether the search information of the search user has been acquired from the log server 20 (step S101). When the search information is not acquired (step S101; No), the information processing apparatus 100 waits until the search information is acquired from the log server 20. On the other hand, when the information processing apparatus 100 acquires the search information (step S101; Yes), the information processing apparatus 100 estimates the field of interest of the search user based on the search information (step S102).

[4. Estimation processing flow]
Next, the procedure of the estimation process according to the embodiment will be described with reference to FIG. 7. FIG. 7 is a flowchart showing an estimation processing procedure according to the embodiment. In the example illustrated in FIG. 7, the information processing apparatus 100 determines whether the posting of a question has been accepted from the user terminal 10 (step S201). When the information processing apparatus 100 has not accepted the posting of the question from the user terminal 10 (step S201; No), it waits until the posting of the question is received from the user terminal 10. On the other hand, when the information processing apparatus 100 receives the posting of the question from the user terminal 10 (step S201; Yes), the information processing apparatus 100 estimates the question field corresponding to the question based on the question information (step S202).

[5. Information processing flow]
Next, a procedure of information processing according to the embodiment will be described with reference to FIG. FIG. 8 is a flowchart showing an information processing procedure according to the embodiment. In the example illustrated in FIG. 8, the information processing apparatus 100 selects an answerer candidate from the search users having the field of interest that matches the field of question (step S301). Then, the information processing apparatus 100 selects an answerer candidate who can easily answer the question from the selected answerer candidates based on the UGC usage information (step S302). Then, the information processing apparatus 100 delivers the push notification regarding the question to the selected answerer candidates (step S303).

[6. Modification example)
The information processing system 1 according to the above-described embodiment may be implemented in various different forms other than the above-described embodiment. Therefore, other embodiments of the information processing system 1 will be described below. The same parts as those in the embodiment are designated by the same reference numerals and the description thereof will be omitted.

[6-1. Selection of respondent candidates based on payment information]
In FIG. 1, an example in which the information processing apparatus 100 selects an answerer candidate from among the search users based on the search information regarding the search history of the search user who uses the search service as another service different from the Q&A service. Indicated. Here, an example will be described in which the information processing apparatus 100 selects, as another service different from the Q&A service, an answerer candidate from the payment users based on the payment information regarding the payment history of the payment user who uses the payment service. To do.

The acquisition unit 132 acquires payment information regarding the payment history of the payment user from the log server 20. For example, the acquisition unit 132 acquires, as the payment information, information related to the payment history in which the payment user makes payment for the product or service.

Then, the estimation unit 133 estimates the relevance between the question information and the payment information. For example, the estimation unit 133 determines that the higher the degree of matching between the word frequently appearing in the product name or service name for which the payment user has made a payment and the word frequently appearing in the question sentence, the more the relationship between the payment information and the question information is. Estimated to be high. The estimation unit 133 estimates that a user who has a higher relation between the payment information and the question information is more likely to take an action of providing an answer to the question.

Subsequently, the selection unit 134 selects a user who is a candidate for an answerer who provides an answer to the question, from among payment users whose relevance between the payment information and the question information estimated by the estimation unit 133 exceeds a predetermined threshold. To do.

For example, the acquisition unit 132 acquires, from the log server 20, UGC usage information related to the UGC usage history of the payment user. Subsequently, the estimation unit 133 calculates the usage frequency at which the payment user uses UGC as a UGC usage index, based on the UGC usage information of the payment user acquired by the acquisition unit 132. Subsequently, the selection unit 134 selects a user who is a candidate for an answerer who provides an answer to the question, from among settlement users whose UGC usage frequency estimated by the estimation unit 133 exceeds a predetermined threshold.

[6-2. Selection of candidate respondents based on reservation information]
In FIG. 1, an example in which the information processing apparatus 100 selects an answerer candidate from among the search users based on the search information regarding the search history of the search user who uses the search service as another service different from the Q&A service. Indicated. Here, an example will be described in which the information processing apparatus 100 selects an answerer candidate from among the reserved users based on the reservation information regarding the reservation history of the reservation user who uses the reservation service as another service different from the Q&A service. To do.

The acquisition unit 132 acquires reservation information regarding the reservation history of the reservation user from the log server 20. For example, the acquisition unit 132 acquires, as the reservation information, information regarding the reservation history in which the reservation user has reserved restaurants and accommodation facilities.

Subsequently, the estimation unit 133 estimates the relevance between the question information and the reservation information. For example, the estimation unit 133 has a higher relevance between the reservation information and the question information as the degree of matching between the word frequently appearing in the restaurant name or the accommodation facility name reserved by the reservation user and the word frequently appearing in the question sentence is higher. It is estimated that The estimation unit 133 estimates that the user having higher relevance between the reservation information and the question information is more likely to take the action of providing an answer to the question.

Subsequently, the selecting unit 134 selects a user who is a candidate for an answerer who provides an answer to the question, from among the reserved users whose relationship between the reservation information and the question information estimated by the estimating unit 133 exceeds a predetermined threshold. To do.

For example, the acquisition unit 132 acquires, from the log server 20, UGC usage information related to the UGC usage history of the reserved user. Subsequently, the estimation unit 133 calculates the usage frequency at which the reserved user uses UGC as the UGC usage index, based on the reserved user UGC usage information acquired by the acquisition unit 132. Subsequently, the selection unit 134 selects a user who is a candidate for an answerer who provides an answer to the question, from among the reserved users whose UGC usage frequency estimated by the estimation unit 133 exceeds a predetermined threshold.

[6-3. Selection of candidate respondents based on posted information)
In FIG. 1, an example in which the information processing apparatus 100 selects an answerer candidate from among the search users based on the search information regarding the search history of the search user who uses the search service as another service different from the Q&A service. Indicated. Here, an example will be described in which the information processing apparatus 100 selects an answerer candidate from the posting users based on the posting information regarding the posting history of the posting user who uses the posting service as another service different from the Q&A service. To do.

The acquisition unit 132 acquires, from the log server 20, the posted information regarding the posting history of the posting user. For example, the acquisition unit 132 acquires, as the posting information, information regarding the posting history in which the posting user posts a posted article.

Then, the estimation unit 133 estimates the relevance between the question information and the posted information. For example, the estimation unit 133 estimates that the higher the degree of matching between the word frequently appearing in the posted article posted by the posting user and the word frequently appearing in the question sentence, the higher the relevance between the posted information and the question information. The estimation unit 133 estimates that a user having a higher relation between the posted information and the question information is more likely to take an action of providing an answer to the question.

Subsequently, the selection unit 134 selects a user who is a candidate for an answerer who provides an answer to the question, from among posted users in which the relationship between the posted information estimated by the estimation unit 133 and the question information exceeds a predetermined threshold. To do.

For example, the acquisition unit 132 acquires, from the log server 20, UGC usage information related to the UGC usage history of the posting user. Subsequently, the estimation unit 133 calculates, based on the UGC usage information of the posting user acquired by the acquisition unit 132, a usage frequency at which the posting user uses UGC as a UGC usage index. Next, the selection unit 134 selects a user who is a candidate for an answerer who provides an answer to the question, from among posted users whose UGC usage frequency estimated by the estimation unit 133 exceeds a predetermined threshold.

[6-4. Selection of candidate respondents based on application usage information)
In FIG. 1, an example in which the information processing apparatus 100 selects an answerer candidate from among the search users based on the search information regarding the search history of the search user who uses the search service as another service different from the Q&A service. Indicated. Here, the information processing apparatus 100, as another service different from the Q&A service, selects a respondent candidate from the user who uses the application based on the application use information regarding the application use history of the user who uses the application. An example will be described.

The acquisition unit 132 acquires, from the log server 20, application usage information regarding an application usage history of an application user. For example, the acquisition unit 132 acquires, as the application usage information, information about the application currently used by the user of the application and the application used in the past.

Subsequently, the estimation unit 133 estimates the relevance between the question information and the application usage information. For example, the estimation unit 133 has a higher degree of relevance between the application usage information and the question information as the matching degree between the word frequently appearing in the application name used by the user who uses the application and the word frequently appearing in the question sentence is higher. It is estimated that The estimation unit 133 estimates that a user having a higher relation between the application usage information and the question information is more likely to take an action of providing an answer to the question.

Subsequently, the selecting unit 134 selects candidate respondents who provide an answer to the question from among users of the app whose relationship between the use information of the app estimated by the estimating unit 133 and the question information exceeds a predetermined threshold. Select a user.

For example, the acquisition unit 132 acquires, from the log server 20, UGC usage information related to the UGC usage history of the user who uses the application. Subsequently, the estimation unit 133 calculates the usage frequency at which the user of the application uses UGC as the UGC usage index, based on the UGC usage information of the user of the application acquired by the acquisition unit 132. Subsequently, the selection unit 134 selects a user who is a candidate for an answerer who provides an answer to the question, from the users who use the application whose UGC usage frequency estimated by the estimation unit 133 exceeds a predetermined threshold value.

[6-5. Selection of candidate respondents based on logs of multiple services]
In FIG. 1, the information processing apparatus 100 uses, as the action information regarding the action history on the network of the user who uses another service different from the Q&A service, search information regarding the search history of the search user and UGC use information regarding the use history of the UGC. Based on the above, an example of selecting a user who is a candidate for an answer from search users was shown. Here, the information processing apparatus 100 provides an answer to a question from users who use a plurality of services based on the use information regarding the use history of a plurality of services, not limited to the search information and the UGC use information. An example of selecting a candidate user will be described. For example, the information processing apparatus 100 selects a user who is a candidate for an answerer who provides an answer to a question from users who use a plurality of services such as a search service, a payment service, a reservation service, a posting service, and a service related to UGC. You may.

The acquisition unit 132 acquires, from the log server 20, search information related to search history, payment information related to payment history, reservation information related to reservation history, post information related to posting history, application usage information related to application usage history, and the like.

Subsequently, the estimation unit 133 estimates the relevance between the question information and the behavior information. For example, the estimation unit 133 estimates that the higher the degree of coincidence between the word frequently appearing in the action information and the word frequently appearing in the question sentence, the higher the relationship between the action information and the question information regarding the plurality of services. The estimation unit 133 estimates that a user who has a higher relation between the action information and the question information is more likely to take an action of providing an answer to the question.

Subsequently, the selection unit 134 selects a user who is a candidate for an answerer who provides an answer to the question, from among posted users in which the relationship between the behavior information estimated by the estimation unit 133 and the question information exceeds a predetermined threshold. To do.

For example, the acquisition unit 132 acquires, from the log server 20, UGC usage information regarding a user's UGC usage history. Then, the estimation unit 133 calculates the frequency of use of the UGC by the user as the UGC usage index, based on the UGC usage information of the user acquired by the acquisition unit 132. Subsequently, the selection unit 134 selects a user who is a candidate for an answerer who provides an answer to the question from the users whose UGC usage frequency estimated by the estimation unit 133 exceeds a predetermined threshold.

[6-6. Timeline display of notification about question)
Although FIG. 1 shows an example in which the information processing apparatus 100 distributes a push notification, which is a notification regarding a question, to users who are candidate respondents, the notification regarding a question is displayed on the timeline for users who are candidate respondents. May be delivered by.

Specifically, when the selection unit 134 selects a user who is an answerer candidate, the delivery unit 135 delivers a notification regarding a question to the user who is an answerer candidate by displaying it on the timeline. For example, the delivery unit 135 uses a weight value such as tf-idf to extract words frequently appearing in the question sentence from the phrases included in the question sentence. Next, the delivery unit 135 uses the extracted words to generate timeline content including a title and a sentence that briefly summarizes the content regarding the question. Subsequently, the distribution unit 135 distributes the timeline content to the user terminal 10 in which the predetermined application AP2 is activated.

[6-7. Selection of candidate respondents to questions posted on other services]
Although the example in which the first service is the Q&A service has been described with reference to FIG. 1, the first service is not limited to the Q&A service, and may be any service as long as it has a posting function by the user. For example, the first service may be a service related to various social media such as SNS and social news. For example, the first service may be a service related to blogs and miniblogs. For example, the first service may be a photo sharing service or a video sharing service having a comment function for the content posted by the user. For example, the first service may be a word-of-mouth service. For example, the first service may be an electronic commerce service having a function of posting a product review regarding a product purchased by a user.

[7. effect〕
As described above, the information processing device 100 according to the embodiment includes the acquisition unit 132 and the selection unit 134. The acquisition unit 132 receives the posting of the question from the questioner who is the first user, and adds the answer to the received question to the first service that is a service that receives the answer from the respondent who is another second user different from the first user. The question information regarding the posted question and the action information regarding the action history on the network of the user who uses the second service which is another service different from the first service are acquired. Based on the question information and the behavior information acquired by the acquisition unit 132, the selection unit 134 selects a user who is an answerer candidate who provides an answer to the question from the users who use the second service.

As a result, the information processing apparatus 100 selects, from among the users who use the second service, the user who has the action information regarding the action history on the network related to the question information regarding the question posted in the first service as an answerer candidate. You can choose. Generally, a user who has behavior information associated with a question field corresponding to a question is considered to be a user who is more likely to take an action to provide an answer to the question than a user who does not. Therefore, the information processing apparatus 100 can select a user who is likely to take the action of providing an answer to the question posted in the first service as an answerer candidate. That is, the information processing apparatus 100 can match the respondent candidates suitable for the question. Therefore, the information processing apparatus 100 can provide information suitable for both the user selected as the answerer candidate and the user who is the questioner. Therefore, the information processing apparatus 100 can provide the information suitable for the user.

Further, the acquisition unit 132 acquires, as the behavior information, search information regarding the search history of the user who uses the search service that is the second service. Based on the search information acquired by the acquisition unit 132, the selection unit 134 selects a user who is an answerer candidate who provides an answer to the question from the users who use the second service.

Accordingly, the information processing apparatus 100 can select, as an answerer candidate, the search user who has searched for the search query related to the question information regarding the question posted in the first service from among the search users. In general, a search user takes the action of searching to obtain knowledge that he or she does not know, so a search user who searches for a certain search query is interested in at least knowledge in the field related to the search query. It can be estimated that That is, the information processing apparatus 100 can select a search user who is interested in the question field corresponding to the question posted in the first service from among the search users as an answerer candidate. Then, generally, a user who is interested in a question field corresponding to a question is considered to be a user who is more likely to take an action of providing an answer to the question than a user who is not.

In addition, the information processing apparatus 100 can select a search user who has the motivation to teach the knowledge acquired by the search to other users as the answerer candidate. Generally, it is easy for a person to have an incentive to teach others the knowledge that he or she has learned. For example, a search user is likely to have an incentive to teach other users the knowledge acquired by the search. Therefore, the search user has the motivation to teach the knowledge acquired by the search to other users as compared with the users of other services, and thus the user who is more likely to take the action of providing the answer to the question regarding the knowledge acquired by the search. Is considered to be.

In this way, the information processing apparatus 100 can select, as an answerer candidate, a user who is likely to take an action of providing an answer to the question posted in the first service. That is, the information processing apparatus 100 can match the respondent candidates suitable for the question. Therefore, the information processing apparatus 100 can provide information suitable for both the user selected as the answerer candidate and the user who is the questioner. Therefore, the information processing apparatus 100 can provide the information suitable for the user.

Further, the acquisition unit 132 acquires, as the behavior information, UGC usage information regarding a service usage history regarding UGC (User Generated Content) of the user who uses the second service. Based on the UGC usage information acquired by the acquisition unit 132, the selection unit 134 selects a user who is an answerer candidate who provides an answer to the question from the users who use the second service.

As a result, the information processing apparatus 100 can select a user who is likely to take the action of using the UGC as a respondent candidate from the users who use the second service. Generally, it can be said that a user who is likely to take an action to use a service related to UGC is a user who is more likely to react to content generated by another user than a user who is not. The question posted on the first service is a type of content generated by another user. Therefore, it is estimated that the user who is likely to take the action of using the service related to UGC is the user who is likely to take the action of providing the answer to the question posted in the first service.

In this way, the information processing apparatus 100 can select, as an answerer candidate, a user who is likely to take an action of providing an answer to the question posted in the first service. That is, the information processing apparatus 100 can match the respondent candidates suitable for the question. Therefore, the information processing apparatus 100 can provide information suitable for both the user selected as the answerer candidate and the user who is the questioner. Therefore, the information processing apparatus 100 can provide the information suitable for the user.

The information processing device 100 according to the embodiment further includes an estimation unit 133. The estimation unit 133 estimates, based on the question information and the behavior information acquired by the acquisition unit 132, an index regarding whether or not the user who uses the second service takes an action of providing an answer to the question. Based on the index estimated by the estimation unit 133, the selection unit 134 selects a user who is an answerer candidate who provides an answer to the question from the users who use the second service.

Thereby, the information processing apparatus 100 can select, from among users who use the second service, a user who is likely to take an action of providing an answer to a question as an answerer candidate.

Further, the estimation unit 133 estimates the relevance between the question information and the behavior information as an index regarding whether or not the user who uses the second service takes an action of providing an answer to the question.

Thereby, the information processing apparatus 100 can select a user who has behavior information that is highly related to the question information from the users who use the second service, as a respondent candidate. Generally, a user who has behavior information that is highly relevant to question information is considered to be a user who is more likely to answer a question than a user who is not. Therefore, the information processing apparatus 100 can select a user who is more likely to answer a question from the users who use the second service as an answerer candidate.

In addition, the estimation unit 133 determines whether the user who uses the second service behaves to use the service related to UGC as an index regarding whether the user who uses the second service behaves to provide an answer to the question. Estimate the UGC utilization index for

Thereby, the information processing apparatus 100 can select a user who is likely to take an action of using UGC as a respondent candidate from the users who use the second service. In general, it can be said that a user who is likely to take an action of using a service related to UGC is a user who is more likely to react to content generated by another user than a user who is less likely to take an action of using a service related to UGC. Therefore, the information processing apparatus 100 can select a search user who is more likely to answer a question as a respondent candidate from the users who use the second service.

The information processing device 100 according to the embodiment further includes a distribution unit 135. The distribution unit 135 distributes a notification regarding the question to the users who are the respondent candidates selected by the selection unit 134.

Accordingly, the information processing apparatus 100 can prompt the user selected as the answerer candidate suitable for the question to provide the answer to the question. Therefore, the information processing apparatus 100 can provide information suitable for the user selected as the respondent candidate.

Further, the delivery unit 135 delivers a push notification, which is a notification regarding a question, to the users who are the respondent candidates selected by the selection unit 134.

Thereby, the information processing apparatus 100 can promptly prompt the user selected as the answerer candidate suitable for the question to provide the answer to the question. Therefore, the information processing apparatus 100 can more promptly provide information suitable for the user selected as the respondent candidate.

[8. Hardware configuration]
Further, the information processing apparatus 100 according to the above-described embodiment is realized by, for example, a computer 1000 configured as shown in FIG. FIG. 9 is a hardware configuration diagram illustrating an example of a computer that realizes the functions of the information processing device 100. The computer 1000 includes 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 unit. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 starts up, a program dependent on the hardware of the computer 1000, and the like.

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

The CPU 1100 controls output devices such as a display and a printer and input devices such as a keyboard and 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 generated data to the output device via the input/output interface 1600.

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 an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. Etc.

For example, when the computer 1000 functions as the information processing apparatus 100 according to the embodiment, the CPU 1100 of the computer 1000 realizes the function of the control unit 130 by executing the program or data loaded on the RAM 1200. 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 a predetermined communication network.

As described above, some of the embodiments of the present application have been described in detail based on the drawings, but these are examples, and various modifications based on the knowledge of those skilled in the art, including the modes described in the section of the disclosure of the invention, It is possible to implement the present invention in other forms with improvements.

[9. Other]
Further, among the respective processes described in the above-described embodiment and modification, all or part of the processes described as being automatically performed may be manually performed, or described as manually performed. It is also possible to automatically carry out all or part of the processing performed by a known method. In addition, the processing procedures, specific names, information including various data and parameters shown in the above-mentioned documents and drawings can be arbitrarily changed unless otherwise specified. For example, the various kinds of information shown in each drawing are not limited to the illustrated information.

Further, each constituent element of each illustrated device is functionally conceptual, and does not necessarily have to be physically configured as illustrated. That is, the specific form of distribution/integration of each device is not limited to that shown in the figure, and all or a part of the device may be functionally or physically distributed/arranged in arbitrary units according to various loads or usage conditions. It can be integrated and configured.

Further, the above-described embodiments and modified examples can be appropriately combined within a range in which the processing content is not inconsistent.

Also, the above-mentioned "section (module, unit)" can be read as "means" or "circuit". For example, the selection unit can be read as a selection unit or a selection circuit.

1 Information Processing System 10 User Terminal 20 Log Server 100 Information Processing Device 121 Search Information Storage Unit 122 UGC Usage Information Storage Unit 123 Question Information Storage Unit 131 Acceptance Unit 132 Acquisition Unit 133 Estimating Unit 134 Selection Unit 135 Distribution Unit

Claims (8)

Regarding a question posted to a Q&A service that is a service that receives a question posted from a questioner who is a first user and receives an answer to the received question from a respondent who is another second user different from the first user Obtaining inquiry information, search information regarding a search history of a user who uses a search service that is another service different from the Q&A service, and UGC use information regarding a service use history regarding the user's UGC (User Generated Content). An acquisition unit that
Based on the search information acquired question information by the acquisition unit, wherein from the user of the search service, and extracts the user as a reply candidate to provide an answer to the question, among the extracted user The information processing apparatus, further comprising: a selection unit that further selects a user who is a candidate for an answerer who provides an answer to the question, based on the UGC usage information acquired by the acquisition unit. An estimation unit that estimates an index regarding whether or not a user who uses the search service takes an action of providing an answer to the question based on the question information and the search information acquired by the acquisition unit,
The selection unit,
The user, who is a candidate for an answerer who provides an answer to the question, is selected from among users who use the search service based on the index estimated by the estimation unit. Information processing device. The estimation unit is
The information processing apparatus according to claim 2, wherein, as the index, the relevance between the question information and the search information is estimated. The estimation unit is
Based on the UGC usage information acquired by the acquisition unit, a UGC usage index regarding whether or not the user who uses the search service takes action to use the service related to UGC is estimated as the index,
The selection unit,
The user who is a candidate for an answerer who provides an answer to the question is further selected from the selected users based on the UGC usage index estimated by the estimation unit. Information processing equipment. The information processing apparatus according to any one of claims 1 to 4, further comprising: a distribution unit that distributes a notification regarding the question to a user who is a candidate for an answerer selected by the selection unit. The delivery unit is
The information processing apparatus according to claim 5, wherein a push notification that is the notification is delivered. An information processing method executed by a computer,
Regarding a question posted to a Q&A service that is a service that receives a question posted from a questioner who is a first user and receives an answer to the received question from a respondent who is another second user different from the first user Obtaining inquiry information, search information regarding a search history of a user who uses a search service that is another service different from the Q&A service, and UGC use information regarding a service use history regarding the user's UGC (User Generated Content). Acquisition process to
On the basis of the search information has been question information acquired by the acquisition step, wherein from the user of the search service, and extracts the user as a reply candidate to provide an answer to the question, among the extracted user From the above, the information processing method, further comprising: a selection step of further selecting a user who is a candidate for an answerer who provides an answer to the question based on the UGC usage information acquired in the acquisition step. Regarding a question posted to a Q&A service that is a service that receives a question posted from a questioner who is a first user and receives an answer to the received question from a respondent who is another second user different from the first user Obtaining inquiry information, search information regarding a search history of a user who uses a search service that is another service different from the Q&A service, and UGC use information regarding a service use history regarding the user's UGC (User Generated Content). The acquisition procedure to
Based on the question information and the search information acquired by the acquisition procedure, a user who is a candidate for an answerer who provides an answer to the question is extracted from the users who use the search service, and among the extracted users An information processing program for causing a computer to execute a selection procedure for further selecting a user who is a candidate for an answerer who provides an answer to the question, based on the UGC usage information acquired by the acquisition procedure.

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