JP2014035719A - Contribution information system, calculation device, and calculation method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To perform appropriate rating.SOLUTION: A contribution information system includes: a user terminal 100; and an SNS providing server that sends and receives contribution information to and from the user terminal 100. The user terminal 100 stores information about the contribution information, which is to be processed according to an instruction by the user, in a storage device. In addition, the user terminal 100 receives the contribution information from the SNS providing server. Furthermore, the user terminal 100 calculates priority for each of received contribution information pieces on the basis of the information about the contribution information that is stored in the storage device.

Description

  The present invention relates to a posting information system, a calculation device, and a calculation method.

  Currently, many people use SNS (Social Networking Service) and interact with many people. For example, an SNS providing server that provides an SNS displays post information of an account followed by the user on the user's home page provided by the SNS providing server. In other words, by following other accounts, the user displays the posted information published by the followed account on his / her home page in the SNS. As a method for displaying post information, there is a timeline display method for displaying post information of accounts followed by a user in chronological order.

  In addition, when the posting which is not interested in the user is performed by the account followed by the user, the SNS providing server displays the posting information not interested in the user on the user's home page in a timeline. When the posting information that is not interested is displayed on the timeline increases, the posting information that is interested is buried in the posting information that is not interested.

  Here, there is a technique for filtering and rating posted information. For example, there is a method of excluding information other than posting information of accounts belonging to a specified group by dividing accounts that the user follows into groups. In addition, for example, there is a method of excluding post information that matches a keyword or regular expression specified by the user anew. In addition, for example, there is a method of excluding post information other than post information that matches a tag given to post information by an account to be followed. Also, based on the familiarity between the user and the account to be followed, the weight obtained from the number of times the fields such as “Comment” and “Like” were clicked in the SNS, the post information based on the elapsed time since posting There is also a rating method.

"Kincaid, J. 2010. EdgeRank: The Secret Sause That Makes Facebook's News Feed Tick." [Online], [Search May 14, 2012], Internet (URL: http://techcrunch.com/2010/04 / 22 / facebook-edgerank /) Jilin Chen et al. "Short and Tweet: Experiments on Recommending Content from Information Streams", in Proceedings of the 2010 annual conference on Human factors in computing system (CHI '10), pp.1185-1194, Apr. 2010. Sandip Debnath et al. "Automatic Identification of Informative Sections of Web Pages", in IEEE Transactions on Knowledge and Data Engineering, IEEE, vol.17, no.9, pp.1233-1246, Sep. 2005. Tsukamoto Shinichiro et al. "Hyperlink reference location estimation using block similarity between web pages", IEICE Technical Report (IN2010-118), pp. 1-6, Jan. 2011.

  However, the above-described conventional technique has a problem that the rating is not appropriately performed.

  The disclosed technology has been made in view of the above, and an object thereof is to provide a posting information system, a calculation device, and a calculation method that can be appropriately rated.

  In one aspect, the disclosed posting information system includes a user terminal and a posting information server that transmits / receives posting information to / from the user terminal. In addition, the user terminal includes a storage unit that stores information related to post information to be processed according to a user instruction in a storage device. The user terminal includes a receiving unit that receives the posted information from the posted information server. In addition, the user terminal includes a calculation unit that calculates a priority for each piece of post information received by the reception unit, based on information related to the post information stored in the storage device.

  According to one aspect of the disclosed posting information system, there is an effect that the rating can be appropriately performed.

FIG. 1 is a diagram illustrating an example of a configuration of a posted information system according to the first embodiment. FIG. 2 is a diagram simply showing an overview of the posted information system according to the first embodiment. FIG. 3 is a diagram illustrating an example of an interface displayed by the user terminal according to the first embodiment. FIG. 4 is a diagram illustrating an example of an interface displayed when the user terminal receives an instruction to click a link included in the posted content according to the first embodiment. FIG. 5 is a block diagram illustrating an example of the configuration of the user terminal according to the first embodiment. FIG. 6 is a diagram illustrating an example of information stored in the posting information table according to the first embodiment. FIG. 7 is a diagram illustrating an example of highlighting by the display control unit in the first embodiment. FIG. 8 is a sequence diagram illustrating an example of information accumulation processing related to posted information in the posted information system according to the first embodiment. FIG. 9 is a sequence diagram illustrating an example of a process for accumulating information related to posted information in the posted information system according to the first embodiment. FIG. 10 is a sequence diagram illustrating an example of posted information display processing in the posted information system according to the first embodiment. FIG. 11 is a flowchart illustrating an example of a rating process in the posted information system according to the first embodiment. FIG. 12 is a diagram illustrating that information processing by a calculation program for executing processing by a user terminal is specifically realized using a computer.

  Hereinafter, embodiments of a posted information system, a calculation device, and a calculation method to be disclosed will be described in detail based on the drawings. The invention disclosed by this embodiment is not limited. Each embodiment can be appropriately combined as long as the processing contents do not contradict each other.

(First embodiment)
FIG. 1 is a diagram illustrating an example of a configuration of a posted information system according to the first embodiment. As shown in FIG. 1, the posting information system includes a user terminal 100 and an SNS providing server 200 that transmits / receives posting information to / from the user terminal 100. The user terminal 100 and the SNS providing server 200 are connected via the network 10. The SNS providing server 200 is also referred to as a posting information server. The user terminal 100 is also referred to as a calculation terminal. In the example shown in FIG. 1, the case where there is one user terminal 100 and one SNS providing server 200 is shown, but the present invention is not limited to this, and there may be two or more user terminals 100. There may be two or more SNS providing servers 200.

  FIG. 2 is a diagram simply showing an overview of the posted information system according to the first embodiment. As illustrated in FIG. 2, for example, the SNS providing server 200 and the user terminal 100 perform an interaction through an API (Application Program Interface). In addition, the user terminal 100 and the user 20 perform interaction through a GUI (Graphical User Interface). In the example illustrated in FIG. 2, the case where the client application executed on the user terminal 100 interacts with the user and the SNS providing server 200 is illustrated as an example.

  For example, posting information is transmitted and received between the SNS providing server 200 and the user terminal 100, and the posting information is displayed on the user terminal 100 in a timeline. In addition, between the user terminal 100 and the user 20, for example, posted information is displayed based on an instruction from the user 20, or the posted information is reposted. For example, an instruction from the user is accepted. For example, the user 20 gives an instruction to browse the posted content, gives an instruction to the posted content displayed on the user terminal 100, or gives an instruction to post the content.

  FIG. 3 is a diagram illustrating an example of an interface displayed by the user terminal according to the first embodiment. In the example illustrated in FIG. 3, the interface includes a field 31 that accepts posting content of posted information, a field 32 that receives a posting instruction for posted information, and a field 33 that displays posted information based on an account followed by the user. In the example illustrated in FIG. 3, the case where the posting information 34 a to the posting information 34 d is displayed in the field 33 is illustrated as an example. Further, in the example illustrated in FIG. 3, the post information 34 a, the post information 34 b, and the post information 34 d are illustrated as examples in which a link is included. In other words, a case where the URL is included in the posted information is shown as an example. In addition, the field 32 may receive an image and current location information as attribute information together with the posted content.

  Here, an example of the instruction | indication with respect to the posting content displayed on the user terminal 100 is shown. For example, the user 20 gives an instruction to click a link included in the posted content, gives an instruction to register the posted content as a favorite, or gives an instruction to repost the posted content. The reposting instruction is an instruction to post the posted content displayed in the field 33 as its own posted content.

  FIG. 4 is a diagram illustrating an example of an interface displayed when the user terminal receives an instruction to click a link included in the posted content according to the first embodiment. When the user terminal 100 receives an instruction to click a link, in other words, when the client application of the user terminal 100 receives an instruction to click a link included in the posted content, as shown in FIG. indicate. For example, the user terminal 100 displays a linked Web page. In the example shown in FIG. 4, the case where the field 35 for displaying the linked content is displayed instead of the field 33 for displaying the posted information is shown as an example. However, the present invention is not limited to this, and the field 33 and the field 35 may be displayed together, and any display form may be used.

  Here, in the posting information system according to the first embodiment, as will be described in detail below, the user terminal 100 receives an instruction regarding posting information from the user, and information regarding posting information to be processed by the received instruction. Are stored in the storage device. In addition, when the user terminal 100 receives the posted information from the SNS providing server 200, the user terminal 100 reads the information related to the posted information stored in the storage device, and the priority for each received posted information based on the read information related to the posted information. Is calculated. As a result, it is possible to appropriately perform filtering and rating.

  That is, for example, information related to post information that is processed by the user through some action in the SNS reflects the user's interest. Based on this, when information related to post information is stored and post information is displayed, post information is displayed after calculating the priority based on the stored information related to post information.

  As a result, for example, filtering and rating can be performed without forcing the user 20 to perform maintenance. Also, for example, filtering and rating can be performed without forcing maintenance of the account to be followed. Further, for example, filtering and rating can be performed without forcing the user 20 to take an active action. Also, for example, filtering and rating can be performed on a single posting basis.

  More specifically, the present invention can also be applied to a case where the object to be followed by the user 20 does not add a hash tag or the like when posting. Further, the present invention can be applied to the user 20 without requiring maintenance such as updating of interest keywords. Further, the present invention can be applied to the user 20 without requiring an activity more than participating in the SNS. For example, the present invention can be applied without performing SNS remarks, feedback on other people's posts, grouping of objects to be followed, and the like. In addition, rating can be performed in units of a single posting, and accuracy can be improved as compared with ratings in units of posters.

  In the following, a case where a series of processing described below is executed in a client application executed on the user terminal 100 will be described as an example. However, the present invention is not limited to this. It may be executed jointly with the SNS providing server 200. The client application may be an arbitrary application executed on the user terminal 100. The client application is, for example, a browser, a dedicated application for displaying posted information, or an arbitrary application having a function for displaying posted information.

[User terminal configuration]
FIG. 5 is a block diagram illustrating an example of the configuration of the user terminal according to the first embodiment. In the example illustrated in FIG. 5, the user terminal 100 includes a communication unit 101, an input / output unit 102, a storage unit 110, and a control unit 120.

  The communication unit 101 is connected to the control unit 120. The communication unit 101 performs transmission / reception of post information with the SNS providing server 200 via the network 10 under the control of the control unit 120. The received information and instructions are input to the control unit 120. The communication unit 101 is also referred to as a “reception unit”. The input / output unit 102 is controlled by the control unit 120 to receive instructions from the user 20 and display information to the user. The input / output unit 102 is, for example, a keyboard, mouse, microphone, monitor (or display, touch panel), speaker, and the like. The details of the information processed by the communication unit 101 and the input / output unit 102 are omitted here, and will be described together with the description of each related unit.

  The storage unit 110 is connected to the control unit 120. The storage unit 110 stores data used for various processes by the control unit 120. The storage unit 110 is, for example, a semiconductor memory device such as a random access memory (RAM), a read only memory (ROM), and a flash memory, or a hard disk or an optical disk. In the example illustrated in FIG. 5, the storage unit 110 includes a posting information table 111. The posting information table 111 is also referred to as a storage device.

  The post information table 111 stores information related to post information to be processed by an instruction received by the user terminal 100. Specifically, the posting information table 111 stores the posting content indicating the content of the posting information to be processed and the attribute information of the posting information in association with each other. The attribute information includes, for example, user identification information indicating a contributor of the posting information, a posting date and time of the posting information, a posting location of the posting information, an instruction date and time when an instruction regarding the posting information is accepted, and an attachment attached to the posting information The content content of the link destination referred by the link contained in the posting content of a file and contribution information. For example, when the link is a URL, the link destination is a Web page identified by the URL.

  Here, an example of post information to be processed by an instruction will be further described. For example, when an instruction to click a link included in the posted content is given, the posted information to be processed is posted information including the clicked link. Further, when an instruction to repost the posted content is made, the post information to be processed becomes the reposted post information. Further, when an instruction to register the posted content as a favorite is given, the posted information to be processed is the posted information posted to the favorite. In addition, when an instruction for newly posting posted information is given, the posted information to be processed is newly posted posted information.

  FIG. 6 is a diagram illustrating an example of information stored in the posting information table according to the first embodiment. As illustrated in FIG. 6, the posting information table 111 stores posting contents and attribute information in association with each other. In the example shown in FIG. 6, as attribute information, “post account”, “post date / time”, “post location”, “attached file”, “ The case of including “content contents” and “instruction date / time” is shown as an example, but the present invention is not limited to this. For example, other information may be stored as attribute information, and some of the information shown in FIG. 6 may not be stored. For example, the posting information table 111 may further store an instruction type indicating an instruction type.

  In the example illustrated in FIG. 6, the posting information table 111 stores the posting content “Company A's tablet terminal is [...]. -Http: //goo.gl/tablet”. Also, as attribute information, posting account "Tsukamoto", posting date and time "2012/2/28 15:00", posting location "Osaka", attached file "null", content content "Apple News ..." The instruction date and time “2012/2/28 18:00” is stored.

  That is, in the posting information table 111, the user 20 instructs the posting information that the posting content is “Company A's tablet terminal is [...]. -Http: //goo.gl/tablet”. Remember. In the posting information table 111, the posting account of the posting information subject to the instruction is “Tsukamoto”, the posting date is “2012/2/28 15:00”, the posting location is “Osaka”, There is no attached file, the content of the linked web page of the link included in the posted information is the content content “Apple News…”, and the instruction is accepted “2012/2/28 18:00” Remember.

  In the example shown in FIG. 6, for the sake of convenience of description, the post information table 111 shows an example in which “apple news…” is stored as the content content. In other words, the case where the text information of the linked Web page is stored as content is shown as an example, but the present invention is not limited to this. For example, the Web page itself may be stored as the content content. In addition, among the linked Web pages, main content may be identified using a known technique, and the identified main content may be selectively stored. In the example shown in FIG. 4, “PR” indicating an advertisement may not be stored, but a portion having a high possibility of main content may be selectively stored.

  The control unit 120 is connected to the communication unit 101, the input / output unit 102, and the storage unit 110. The control unit 120 has an internal memory that stores a program that defines various processing procedures and the like, and controls various processes. The control unit 120 is, for example, an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), a central processing unit (CPU), or a micro processing unit (MPU). In the example illustrated in FIG. 5, the control unit 120 includes a reception unit 121, a storage unit 122, a calculation unit 123, and a display control unit 124.

  The accepting unit 121 accepts an instruction regarding post information from the user. For example, the accepting unit 121 accepts an instruction to browse the posted content, gives an instruction on the posted content displayed on the user terminal 100, or gives an instruction to post the content. Further, for example, the reception unit 121 receives an instruction to click a link included in the posted content, receives an instruction to register the posted content as a favorite, or receives an instruction to repost the posted content.

  Here, the process corresponding to the instruction received by the receiving unit 121 is executed by the user terminal 100, and the instruction is not transmitted to the SNS providing server 200. Specifically, among instructions accepted by the accepting unit 121, instructions that can be executed by the user terminal 100 without being transmitted to the SNS providing server 200 are not transmitted to the SNS providing server 200. For example, among the examples of the above-described instructions, it is considered essential to transmit an instruction to post content and an instruction to repost posted content to the SNS providing server 200, and the control unit 120 provides the SNS. Transmit to server 200. On the other hand, among the examples of the above-described instructions, an instruction to click a link included in the posted content or an instruction to register the posted content as a favorite can be processed by the user terminal 100 without being transmitted to the SNS providing server 200. The control unit 120 does not transmit an instruction to the SNS providing server 200.

  A more detailed example will be described. When the user marks “favorite” in the SNS, the client application executed on the user terminal 100 stores the clicked information in its own device without transmitting it to the SNS providing server 200. In other words, information related to “favorites” marked by the user is not transmitted to the SNS providing server 200. For example, the client application executed on the user terminal 100 stores information on “favorites” marked by the user, and the client application executed on the user terminal 100 thereafter Information is displayed to the user based on information related to “favorites” stored in the apparatus. For example, the client application executed on the user terminal 100 performs filtering and rating on the information output from the SNS providing server 200 based on the information about “favorites” stored in the own device, and then the user application To display.

  Similarly, even if the user follows another person or creates a new bookmark, these pieces of information are not transmitted to the SNS providing server 200, but are processed by the user terminal 100. In other words, information about others followed by the user and information about newly created bookmarks are not transmitted to the SNS providing server 200. In addition, the client application executed on the user terminal 100 then displays information to the user or displays a bookmark to the user based on the information about the others followed in the device. To do.

  In the following, although not particularly mentioned, when an instruction is received by the receiving unit 121, processing corresponding to the received instruction is executed in the user terminal 100. In the following, instructions that can be executed by the user terminal 100 without being transmitted to the SNS providing server 200 will be described as an example in which the instructions are not transmitted to the SNS providing server 200, but are not limited thereto. All instructions may be transmitted to the SNS providing server 200.

  The accumulating unit 122 accumulates information related to post information to be processed according to an instruction received by the receiving unit 121 in a storage device. Specifically, the storage unit 122 stores post content and attribute information in the post information table 111 as information related to post information.

  More specifically, the storage unit 122 stores, as attribute information, a main content portion of a linked page obtained by a known main content estimation method for a Web page as “content content”. In addition, when the link included in the link destination page is clicked, the storage unit 122 uses the reference location of the link destination destination page obtained by the hyperlink reference location estimation technique as the attribute information. As ". The storage unit 122 also stores “post account”, “post date”, “post location”, “attached file”, and “instruction date”.

  For example, the case where the receiving unit 121 receives an instruction to click a link included in the posted information 34a among the posted information displayed in the field 33 of FIG. In this case, the storage unit 122 stores the posting content “Company A's tablet terminal [...] .-http: //goo.gl/tablet” with respect to the posting information table 111 as attribute information. , Posting account "Tsukamoto", posting date and time "2012/2/28 15:00", posting location "Osaka", attached file "null", content contents "Apple news ..." and instruction date "2012 / 2/28 18:00 "is stored.

  As described above, for example, a click on a link included in the posting information is included as some instruction in the user's SNS. As a result, a high priority can be calculated for post information that is usually collected by the user in the SNS and similar to information that the user is likely to be interested in.

  Further, for example, the information that is expected to be read by the user on the clicked link destination and the link destination page is attribute information of post information that reflects the user's interest. As a result, it is possible to calculate a high priority for post information similar to information normally collected by the user (which the user should be interested in) in the SNS.

  In addition, it also triggers instructions such as registering posted information as favorites and reposting posted content. As a result, even if the posting content does not include a link, it is possible to calculate a high priority for the posting information similar to the information normally collected by the user (which the user should be interested in) in the SNS.

  In addition, by including “content posting” as some action in the user's SNS, high priority is given to posted information similar to information that the user himself / herself sends information (the user is already interested in) Can be calculated.

  When receiving the posting information from the SNS providing server 200, the calculation unit 123 reads the information related to the posting information stored in the posting information table 111 by the storage unit 122, and receives the posting information received based on the information related to the read posting information. Calculate the priority. In addition, the calculation unit 123 performs filtering based on a predetermined rule with respect to the information related to the read posting information, and calculates the priority for each received posting information based on the information related to the posting information remaining after filtering.

  Here, the calculation unit 123 will be described in detail. In the example illustrated in FIG. 5, the calculation unit 123 includes a filtering unit 123a, a keyword extraction unit 123b, and a rating unit 123c.

  Here, the filtering part 123a performs filtering based on a predetermined rule with respect to the information regarding the read posting information. For example, the filtering unit 123a determines whether to leave after filtering based on a difference from a predetermined threshold. That is, the filtering unit 123a reads information related to post information from the post information table 111, and filters information related to post information extracted based on the context of the user 20.

  Here, for example, the filtering unit 123a performs filtering under a rule that the posted content does not reflect the user's interest in inverse proportion to the difference between the posted date / time or the designated date / time and the current date / time. In other words, the filtering unit 123a executes filtering that preferentially leaves information related to posted information with a small difference between the posted date / time or instruction date / time and the current date / time compared to information related to posted information with a large difference.

  Note that the filtering unit 123a does not directly compare the difference between the posting date / time or the designated date / time and the current date / time, but may use a time zone difference, a day of the week, or a day. For example, the filtering unit 123a may use a difference between a time zone corresponding to the posting date / time or the instruction date / time and a time zone corresponding to the current date / time. Further, for example, the filtering unit 123a may use the difference between the day of the week corresponding to the posting date or the instruction date and the day of the week corresponding to the current date. In this case, it is estimated that the priority is high when the days of the week coincide. Further, for example, the filtering unit 123a may use a difference between a date corresponding to the posting date / time or the designated date / time and a date corresponding to the current date / time. In this case, it is estimated that the priority is high when the dates match.

  Further, for example, the filtering unit 123a performs filtering under a rule that the posted content does not reflect the user's interest in proportion to the difference between the posting date / time or the instruction date / time being a holiday or a weekday and the current date / time is a holiday or a weekday. Run. In this case, if the designated date is a holiday, the post date is presumed to have a high priority for post information on a holiday, and if the designated date is a weekday, the post date is a high priority for weekday post information. presume. In other words, the filtering unit 123a executes filtering that preferentially leaves information related to posted information with a small difference between the posted date / time or instruction date / time and the current date / time compared to information related to posted information with a large difference.

  Further, for example, the filtering unit 123a performs filtering under a rule that the posted content does not reflect the user's interest in inverse proportion to the difference in distance between the posted location and the current location. In other words, the filtering unit 123a performs filtering that preferentially leaves information related to posted information with a small difference in distance between the posting location and the current location compared to information related to posted information with a large difference.

  In addition, for example, the filtering unit 123a performs filtering under a rule that does not reflect the user's interest for a posting account with a small number of actions caused by the user. In other words, the filtering unit 123a preferentially leaves the information related to the posting information about the posting account with a small number of actions compared with the information about the posting information about the posting account with a large number of actions. Perform filtering.

  In addition, for example, the filtering unit 123a uses the rule that the posted content does not reflect the user's interest when the current communication environment is equal to or less than a preset parameter for information related to posted information including an attached file. Perform filtering. In other words, the filtering unit 123a prioritizes information related to post information that does not include an attached file as compared to information related to post information that includes an attached file when the current communication environment is equal to or less than a preset parameter. To perform filtering.

  The keyword extraction unit 123b extracts a first keyword from information related to post information read from the post information table 111. In other words, the keyword extraction unit 123b estimates keywords that the user is interested in.

  Specifically, the keyword extraction unit 123b extracts words from the information related to the filtered post information, and weights the extracted words. For example, the keyword extraction unit 123b uses a morphological analysis to extract words from post content and attribute information included in information related to post information remaining after filtering. Then, the filtering unit 123a weights the extracted words using the TF-IDF method. As a result, a feature vector that is a set of a word and a TF-IDF value, in other words, a weighted keyword is obtained.

  The first keyword extracted by the keyword extraction unit 123b is extracted from the entire information related to post information after filtering. In other words, the keyword extraction unit 123b does not extract the first keyword separately for each piece of post information remaining after filtering, but treats the entire post information remaining after filtering as one or more first items. Extract keywords.

  The rating unit 123c extracts the second keyword for each post information from the post information received from the SNS providing server 200, and sets the priority for each post information based on the similarity between the first keyword and the second keyword. calculate. In other words, the rating unit 123c performs rating of post information to be displayed to the user.

  Specifically, the rating unit 123c extracts words for each posting content displayed to the user 20, and calculates the similarity between the extracted words and the weighted keywords. Here, the similarity calculated for each posting content is a value indicating the priority. More specifically, the higher the similarity, the higher the priority.

  For example, the rating unit 123c extracts words from each posting content displayed to the user 20 using morphological analysis. Then, the rating unit 123c weights the extracted words using the TF-IDF method. Moreover, the rating part 123c calculates | requires the similarity of the weighted keyword between each posting content displayed on the user 20, and the posting content and attribute information stored in the database. The rating unit 123c uses, for example, cosine similarity or extended Jackard similarity as a similarity calculation technique. Then, the rating unit 123c uses the calculated similarity as a rating result of each posting content displayed to the user 20.

  The display control unit 124 preferentially displays the post information for which the priority is calculated by the calculation unit 123 in comparison with the other post information in comparison with the other post information. Specifically, the posting information displayed on the user's timeline is highlighted based on the rating result by the calculation unit 123. For example, the display control unit 124 makes the background color of the posted content lighter red and surrounds the border with a thick red line for the posted content whose rating result is equal to or more than a preset parameter.

  FIG. 7 is a diagram illustrating an example of highlighting by the display control unit in the first embodiment. In the example illustrated in FIG. 7, the post information 34 a and the post information 34 d are illustrated as an example in which a higher priority is calculated than other post information. In the example illustrated in FIG. 7, the display control unit 124 controls the display of the posted information so that the posted information 34a and the posted information 34d are highlighted.

  More specifically, for example, when post information including a keyword such as “Company A”, “Tablet terminal”, or “phone” is clicked by the user 20, “Company A” or “ "Tablet terminal", "phone", etc. are extracted. As a result, as shown in FIG. 7, the display control unit 124 highlights the posting information 34 a and the posting information 34 d in which the priority is calculated as a result of including these keywords as compared to other posting information. I do.

  The user terminal 100 may be realized by using an information processing apparatus such as a known personal computer, workstation, mobile phone, PHS (Personal Handyphone System) terminal, mobile communication terminal, or PDA (Personal Digital Assistant). good. For example, the functions of the storage unit 110 and the control unit 120 illustrated in FIG. 5 may be mounted on an information processing apparatus such as a PDA.

[Processing by the posting information system]
An example of the flow of processing by the contribution information system concerning a 1st embodiment is shown. In the following, the flow of information related to posted information, the flow of posted information display processing, and the flow of rating processing will be described in this order.

[Flow of information accumulation process for posted information]
FIG. 8 is a sequence diagram illustrating an example of information accumulation processing related to posted information in the posted information system according to the first embodiment. In the example shown in FIG. 8, the flow of the accumulation process when the user 20 posts new post information to the SNS providing server 200 is shown.

  As shown in FIG. 8, when the user 20 posts post information to the SNS (step S <b> 101), that is, when an instruction to post the post information is given by the user, the user terminal 100 regards the post information received. Is stored in the posting information table 111 (step S102).

  Thereafter, the user terminal 100 transfers the accepted posting information to the SNS providing server 200 (step S103), and the SNS providing server 200 performs processing related to the posting information (step S104). For example, the SNS providing server 200 distributes the accepted posting information to the other users 20.

  In addition, said process procedure is not limited to said order, You may change suitably in the range which does not contradict a process content. For example, step S102 described above may be executed after step S103.

[Flow of information accumulation process for posted information]
FIG. 9 is a sequence diagram illustrating an example of a process for accumulating information related to posted information in the posted information system according to the first embodiment. The example shown in FIG. 9 shows the flow of the accumulation process when the user 20 gives some instruction to the posted information being browsed.

  As shown in FIG. 9, when the user 20 takes action on the posted content being browsed (step S201), that is, when the user gives an instruction to the posted information being browsed, the user terminal 100 receives the accepted posted information. The information related to the posting information is accumulated in the posting information table 111 (step S202). That is, the user terminal 100 stores the posting content and the attribute information regarding the posting information in which the action has occurred in the posting information table 111.

  Then, the user terminal 100 transfers the instruction to the SNS providing server 200 (step S203), and then the SNS providing server 200 executes processing for reflecting the received instruction (step S204). For example, when the user 20 gives an instruction to repost posted information, a process of distributing the reposted posted information to the home page of the user 20 is executed.

  Further, the user terminal 100 displays the result reflecting the instruction (step S205). For example, when a link included in the posting information is clicked, the user terminal 100 executes a process of displaying a Web page that is referred to by the link. Thereafter, the Web page displayed by the user terminal 100 is confirmed by the user 20.

  In addition, said process procedure is not limited to said order, You may change suitably in the range which does not contradict a process content. For example, the above step S205 may be executed after S203.

[Posted information display processing flow]
FIG. 10 is a sequence diagram illustrating an example of posted information display processing in the posted information system according to the first embodiment. In the example shown in FIG. 10, when the user 20 requests | requires the posting information of the person to follow from the SNS provision server 200, the flow when a posting process is performed and a posting information is displayed is shown.

  As shown in FIG. 10, when the user 20 requests the SNS for the posted content of the follower (step S301), the user terminal 100 transfers the request to the SNS providing server 200 (step S302). Thereafter, the SNS providing server 200 extracts the posted content of the follower from the database (step S303), and returns the retrieved posted content (step S304).

  When the user terminal 100 receives the posting information, the user terminal 100 performs the posting information rating (step S305). That is, when the user terminal 100 receives the posting information from the SNS providing server 200, the user terminal 100 reads the information related to the posting information stored in the posting information table 111, and the priority for each posting information received based on the read information related to the posting information. Is calculated.

  Then, the user terminal 100 highlights the posted information based on the rating result (step S306). That is, the user terminal 100 preferentially displays post information for which higher priority is calculated than other post information as compared with other post information.

[Rating process flow]
FIG. 11 is a flowchart illustrating an example of a rating process in the posted information system according to the first embodiment. That is, an example of the flow of calculation processing by the calculation unit 123 is shown. A series of processes shown in FIG. 11 corresponds to step S305 in FIG.

  As illustrated in FIG. 11, in the user terminal 100, the calculation unit 123 extracts information regarding post information (step S401). That is, when the calculation unit 123 receives post information from the SNS providing server 200, the calculation unit 123 reads information related to post information stored in the post information table 111.

  And the calculation part 123 filters the information regarding posting information based on a user's context (step S402). That is, the calculation unit 123 performs filtering based on a predetermined rule for the information related to the read posting information.

  Then, the calculation unit 123 extracts words from the information related to the filtered post information (Step S403). For example, the keyword extraction unit 123b does not extract the first keyword separately for each piece of post information remaining after filtering, but treats the entire post information remaining after filtering as one processing target. Extract keywords.

  Then, the calculation unit 123 assigns a weight to the extracted word (generates a weighted keyword) (step S404). For example, the calculation unit 123 weights the extracted words using the TF-IDF method.

  Then, the calculation unit 123 extracts a word for each received post information (step S405), and calculates the similarity between the extracted word and the weighted keyword (step S406). That is, the calculation unit 123 extracts the second keyword for each piece of post information from the post information received from the SNS providing server 200 and prioritizes each piece of post information based on the similarity between the first keyword and the second keyword. Calculate the degree. For example, the calculation unit 123 extracts words from each posting content displayed to the user 20 using morphological analysis, and weights the extracted words using the TF-IDF method. Then, the calculation unit 123 calculates the similarity by using the cosine similarity and the extended Jackard similarity. In this case, the calculated similarity is a rating result.

  In addition, said process procedure is not limited to said order, You may change suitably in the range which does not contradict a process content. For example, steps S404 and S405 may be executed independently of the above steps S401 to S403, and steps S404 and S405 may be executed before steps S401 to S403.

[Effect of the first embodiment]
As described above, according to the first embodiment, the user terminal 100 receives an instruction regarding post information from the user, and accumulates information regarding post information to be processed by the received instruction in the post information table 111. In addition, when receiving post information from the SNS providing server 200, the user terminal 100 calculates a priority for each received post information based on information related to the post information stored in the post information table 111. As a result, it is possible to appropriately perform filtering and rating.

  That is, for example, information (post content and attribute information) related to post information that is processed by the user by some action in the SNS reflects the user's interest. Based on this, when information related to post information is stored and post information is displayed, post information is displayed after calculating the priority based on the stored information related to post information.

  As a result, for example, filtering and rating can be performed without forcing the user to perform maintenance. Also, for example, filtering and rating can be performed without forcing maintenance of the account to be followed. In addition, for example, filtering and rating can be performed without forcing the user to take an active action. Also, for example, filtering and rating can be performed on a single posting basis.

In SNS, a user has to process a large amount of posting contents and exchange relations every day, so a method of forcing maintenance to someone places a heavy burden on the user. Moreover, when using SNS for the purpose of collecting information to read the content of an interesting post, it is not preferable to force the user to take an active action on the SNS. Also, filtering and rating at the account level instead of a single posting may be insufficient. On the other hand, according to the first embodiment,
(1) No maintenance is required for the user (2) No maintenance is required for the account to be followed (3) No positive action is imposed on the user (4) A feasible rating of a single posting unit can be realized.

  Further, according to the first embodiment, post information that has a higher priority than other post information is displayed with priority over other post information. As a result, it is possible to prevent post information that is of interest to the user from being buried in post information that is not of interest.

  Further, according to the first embodiment, processing corresponding to the received instruction is executed at the user terminal, and the instruction is not transmitted to the posting information server. As a result, filtering and rating can be performed without forcing the user to take an active action.

  In other words, any action taken by the user is not transferred on the SNS providing server 200 side but is used only on the client side, so that the rating technology can be used without forcing the user to take an open and aggressive action. Become.

  A more detailed example will be described. When the user marks “favorite” in the SNS, the client application executed on the user terminal 100 stores the clicked information in its own device without transmitting it to the SNS providing server 200. In other words, information related to “favorites” marked by the user is not transmitted to the SNS providing server 200. For example, the client application executed on the user terminal 100 stores information on “favorites” marked by the user, and the client application executed on the user terminal 100 thereafter Information is displayed to the user based on information related to “favorites” stored in the apparatus. For example, the client application executed on the user terminal 100 performs filtering and rating on the information output from the SNS providing server 200 based on the information about “favorites” stored in the own device, and then the user application To display.

  Similarly, even if the user follows another person or creates a new bookmark, these pieces of information are not transmitted to the SNS providing server 200, but are processed by the user terminal 100. In other words, information about others followed by the user and information about newly created bookmarks are not transmitted to the SNS providing server 200. In addition, the client application executed on the user terminal 100 then displays information to the user or displays a bookmark to the user based on the information about the others followed in the device. To do.

  As described above, since the actions and actions by the user are not fed back to the SNS providing server 200 and are not open to other users, the magnitude of the influence of the actions by the user on the other users can be reduced. . As a result, it is possible to monitor the activity in the SNS without affecting other users.

  Moreover, according to 1st Embodiment, filtering based on a predetermined rule is performed with respect to the read post information, and the priority for each post information received based on the post information remaining after filtering is set. calculate. As a result, the rating accuracy can be improved.

  Also, by filtering information related to post information that reflects the user's interest according to the context used by the user (information on where and when to use), when the user uses SNS properly according to the context, Ratings according to the proper use are possible.

  Further, according to the first embodiment, the first keyword is extracted from the information related to the posted information read from the posted information table 111, and the second keyword for each posted information is extracted from the posted information received from the SNS providing server 200. Extraction is performed, and the priority for each piece of post information is calculated based on the similarity between the first keyword and the second keyword. As a result, the rating accuracy can be improved.

  Further, according to the first embodiment, the information related to the posting information includes the posting content indicating the content of the posting information and the attribute information of the posting information. In addition, the attribute information includes user identification information indicating a contributor of the posting information, posting date and time of the posting information, posting location of the posting information, instruction date and time when an instruction regarding the posting information is accepted, an attached file attached to the posting information, It includes at least one of the content contents of the link destination referenced by the link included in the posted content of the posted information. As a result, the user's interest can be estimated accurately.

(Second Embodiment)
Although the embodiments of the present invention have been described so far, the present invention may be implemented in other embodiments besides the above-described embodiments. Therefore, other embodiments will be described below.

[System configuration]
Also, among the processes described in this embodiment, all or part of the processes described as being performed automatically can be performed manually, or the processes described as being performed manually can be performed. All or a part can be automatically performed by a known method. In addition, the processing procedures, control procedures, specific names, and information including various data and parameters (FIGS. 1 to 11) shown in the above-mentioned document and drawings are arbitrarily changed unless otherwise specified. be able to.

  Further, each component of each illustrated apparatus is functionally conceptual, and does not necessarily need to be physically configured as illustrated. That is, the specific form of distribution / integration of each device is not limited to the one shown in the figure, and all or a part of the distribution / integration may be functionally or physically distributed in arbitrary units according to various loads or usage conditions. Can be integrated and configured. For example, in the example shown in FIG. 5, the posting information table 111 may be connected as an external device via a network. Further, the display control unit 124 may be a separate device.

[program]
FIG. 12 is a diagram illustrating that information processing by a calculation program for executing processing by a user terminal is specifically realized using a computer. As illustrated in FIG. 12, the computer 3000 includes, for example, a memory 3010, a CPU (Central Processing Unit) 3020, and a network interface 3070. Each part of the computer 3000 is connected by a bus 3100.

  The memory 3010 includes a ROM 3011 and a RAM 3012 as illustrated in FIG. The ROM 3011 stores a boot program such as BIOS (Basic Input Output System).

  Here, as illustrated in FIG. 12, the hard disk drive 3080 stores, for example, an OS 3081, an application program 3082, a program module 3083, and program data 3084. In other words, the calculation program according to the disclosed technology is stored in, for example, the hard disk drive 3080 as the program module 3083 in which instructions executed by the computer are described. Specifically, a program module in which a procedure for executing the same information processing as each unit of the control unit 120 described in the above embodiment is described is stored in the hard disk drive 3080.

  Further, data used for information processing by a program, such as data stored in the storage unit 110 described in the above embodiment, is stored as program data 3084 in, for example, the hard disk drive 3080. The CPU 3020 reads the program module 3083 and program data 3084 stored in the hard disk drive 3080 to the RAM 3012 as necessary, and executes various procedures.

  Note that the program module 3083 and the program data 3084 related to the calculation program are not limited to being stored in the hard disk drive 3080. For example, the program module 3083 and the program data 3084 may be stored in a removable storage medium. In this case, the CPU 3020 reads data via a removable storage medium such as a disk drive. Similarly, the program module 3083 and the program data 3084 related to the calculation program may be stored in another computer connected via a network (LAN (Local Area Network), WAN (Wide Area Network), etc.). . In this case, the CPU 3020 reads various data by accessing another computer via the network interface.

[Others]
Note that the calculation program described in the present embodiment can be distributed via a network such as the Internet. The calculation program can also be executed by being recorded on a computer-readable recording medium such as a hard disk, a flexible disk (FD), a CD-ROM, an MO, and a DVD, and being read from the recording medium by the computer.

DESCRIPTION OF SYMBOLS 10 Network 100 User terminal 101 Communication part 102 Input / output part 110 Storage part 111 Posting information table 120 Control part 121 Reception part 122 Storage part 123 Calculation part 123a Filtering part 123b Keyword extraction part 123c Rating part 124 Display control part 200 SNS providing server

Claims (8)

A posted information system comprising a user terminal and a posted information server that transmits and receives posted information between the user terminal,
The user terminal is
An accumulation unit that accumulates information about post information to be processed by a user's instruction in a storage device;
A receiving unit for receiving the posted information from the posted information server;
A post information system comprising: a calculation unit that calculates a priority for each post information received by the reception unit based on information related to the post information stored in the storage device.   2. The display control unit according to claim 1, further comprising a display control unit that preferentially displays the post information, which has a higher priority compared to the other post information, by the calculation unit as compared with the other post information. Posted information system.   The posting information system according to claim 1 or 2, wherein processing corresponding to the instruction is executed by the user terminal, and the instruction is not transmitted to the posting information server.   The calculation unit performs filtering based on a predetermined rule for information related to the posted information accumulated in the storage device, and the priority for each posted information received based on information related to posted information remaining after filtering The posting information system according to claim 1, wherein the posting information system is calculated.   The calculation unit extracts a first keyword from information related to the posted information accumulated in the storage device, extracts a second keyword for each posted information from the posted information received from the posted information server, The post information system according to any one of claims 1 to 4, wherein a priority for each post information is calculated based on a similarity between the first keyword and the second keyword. The information related to the posted information includes posted content indicating the content of the posted information, and attribute information of the posted information,
The attribute information includes user identification information indicating a contributor of the posting information, a posting date and time of the posting information, a posting location of the posting information, an instruction date and time when an instruction regarding the posting information is accepted, and attached to the posting information. 6. The method according to claim 1, further comprising: at least one of the attached file and the content content of the link destination referred to by the link included in the posted content of the posted information. Posting information system. An accumulation unit that accumulates information about post information to be processed by a user's instruction in a storage device;
A receiving unit for receiving the posting information;
A calculation device comprising: a calculation unit that calculates a priority for each piece of post information received by the reception unit based on information related to the post information stored in the storage device. An accumulation step for accumulating information on post information to be processed by a user's instruction in a storage device;
A receiving step for receiving the posting information;
And a calculating step of calculating a priority for each of the posted information received by the receiving step based on information related to the posted information stored in the storage device.

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