JP2014215796A - Information processing apparatus, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an effective method that enables accurate acquisition of an interest trend without imparting a burden on a user.SOLUTION: An interest table 122 stores an interest level indicating a user's interest for attributes of pieces of content information for each of the attributes. Information display means 305 displays the content information having at least one of the attributes. When a user specifies the displayed content information and executes a predetermined operation, interest estimation means 306 changes an index for determining the interest level corresponding to the attribute of the content information according to the predetermined operation.

Description

  The present invention relates to an information processing apparatus and a program, and more particularly to a technique for supporting personalization of an application.

  Patent Document 1 discloses a system in paragraph 0054 that automatically acquires a user's preference while using a portable information terminal and always provides communication with other users based on the latest preference. It is disclosed. For learning about user preferences, for example, in paragraph 0025, static information such as the user's age and gender, and dynamic information such as when and where the user visits and what spots and information are interested To generate data consisting of:

JP 2001-265809 A

  In this specification, “information processing apparatus” refers to personal devices such as personal computers (hereinafter, mainly referred to as “PCs”), slate PCs, tablet PCs, smartphones, and portable information terminals (Personal Digital Assistance: PDAs). It is defined as

  In recent years, in the technical field of the information processing apparatus, in order to further increase the added value, information suitable for the user's preference and interest tendency is presented. Such information processing is hereinafter referred to as personalization. Personalization requires learning about trends in interest.

  However, the method as disclosed in Patent Document 1 is a large scale because a central server center is necessary for preference learning, and cannot be realized at low cost. It is a problem to provide a mechanism for learning the tendency of interest of the user in the information processing apparatus so that the tendency of interest can be acquired with high accuracy.

  Another problem is how to have the user evaluate the preference without imposing a burden on the user. Methods such as having the user select a favorite genre or specifying a favorite keyword impose a heavy burden on the user and reduce the motivation to use the function.

  The present invention has been made in view of the above circumstances, and an object of the present invention is to provide an effective method capable of acquiring a tendency of interest with high accuracy without imposing a burden on the user.

  In order to achieve the above object, according to one aspect of the present invention, there is provided storage means for storing, for each attribute, an interest level representing an interest of a user with respect to the attribute included in the content information, and the at least one of the attribute. Display means for displaying content information, and when a predetermined operation is performed by designating the displayed content information by the user, the interest corresponding to the attribute of the content information according to the mode of the predetermined operation And an interest estimation means for changing an index for determining the degree.

  ADVANTAGE OF THE INVENTION According to this invention, it becomes possible to provide the effective method which enables it to acquire the tendency of interest accurately, without putting a burden on a user.

It is a figure which shows the example of an external appearance structure of embodiment by this invention. It is a figure which shows the hardware & software structural example of the said embodiment. It is a block diagram which shows the function structure of the said embodiment. It is a figure which shows an example of the information source table 123 of FIG. It is a figure which shows an example of the interest table 122 of FIG. FIG. 4 is a diagram illustrating an example of a screen displayed on the display device by the information display unit 305 of FIG. 3. It is a figure which shows another example of the interest table 122 of FIG. It is a figure which shows an example of the screen displayed on the display apparatus 14 of FIG. It is a figure which shows an example of the screen displayed on the display apparatus 14 of FIG. It is a figure which shows the example of the change degree of the interest degree index | exponent by user operation in the said embodiment.

  Embodiments of the present invention will be described below with reference to the drawings.

  In FIG. 1, the external appearance structural example of this embodiment is shown. An information processing apparatus 100 according to the present embodiment is a personal device such as a personal computer (hereinafter, mainly referred to as “PC”), a slate type PC, a tablet type PC, a smartphone, or a portable information terminal (Personal Digital Assistance: PDA). Yes, communication with the server 200 on the cloud is possible.

  As the server 200 on the cloud, for example, SNS servers 201 and 202 that provide social networking services (hereinafter referred to as SNS), news distribution that provides a service that distributes news in a format such as RSS or Atom There are servers 203 and 204 and servers that provide other services. Various other services are conceivable. For example, a weather information distribution server 205 that distributes weather information, a short text posting server 206 that provides a short text posting site that can post relatively short texts and photos, etc., electronic commerce There are EC servers 207 and 208 that provide services.

  FIG. 2 shows a hardware & software configuration example of the information processing apparatus 100. As illustrated, the information processing apparatus 100 includes a central processing unit 10 as arithmetic control means, and includes a primary storage 11 and a secondary storage 12 as storage means. As input / output means, a network interface 13 for communicating with a host on the network, a display device 14 for performing display output, and an operation input unit 15 for receiving an operation input by a user are provided.

  The secondary storage 12 stores an information acquisition application 121, an interest table 122, and an information source table 123. The information acquisition application 121 is an application software program, and is provided from a server (for example, the EC server 207) on the network via a computer-readable optical or magnetic storage medium or via a network.

  The information acquisition application 121 is a composite application that provides several functions including the functions described below when executed by the central processing unit 11. In providing the following functions, an operating system or an external application library may be used.

<News Reader>
The information acquisition application 121 functions as a news reader by having the following configuration. FIG. 3 shows a functional block diagram. The information processing apparatus 100 includes the functional blocks shown in FIG. 3 through the cooperation of hardware and software programs as shown in FIG. That is, the information processing apparatus 100 includes an information acquisition unit 301, an information selection unit 303, an all information acquisition unit 304, an information display unit 305, an interest estimation unit 306, and an interest table display editing unit 307.

  The information source table 123 is a table in which information about an information source from which the information acquisition application 121 acquires information is stored. Examples of information sources include SNS, news distribution service, weather information distribution service, and electronic commerce service. FIG. 4 shows an example of the information source table 123.

  As shown in FIG. 4, each service is associated with information for accessing the service. A typical example of information for accessing a service is a URI (Uniform Resource Indicator) of a service site on the Internet, but is not limited thereto. Each service is associated with a service type.

  Each service may be associated with account information such as an ID and a password for each service. Moreover, you may be linked | related with residence information. Further, the information source table 123 may include other fields not shown. In this embodiment, account information, residence information, etc. are called registration information.

  The information acquisition unit 301 refers to the information source table 123 and acquires information from the network based on information for accessing each service. When the information acquisition application 121 functions as a news reader, the information acquisition unit 301 acquires the URI of the service whose service type corresponds to “news” from the information source table 123. Next, a news feed is acquired based on this URI.

  The acquired information storage 302 acquired by the information acquisition unit 301 is selected by the information selection unit 303 using the interest table 122 generated by the interest estimation unit 306 and the interest table display editing unit 307. FIG. 5 shows an example of the interest table 122.

  As shown in FIG. 5, the interest table 122 is associated with the degree of interest of the user for each category such as “politics” and “economy”. The interest level may include a set interest level set by the user using the interest table display editing unit 307 and an estimated interest level that is an interest level estimated by the interest estimation unit 306. The interest table 122 may be associated with information for calculating the estimated interest level. As an example of information for calculating the estimated degree of interest, FIG. 5 describes an index that changes according to a user operation, which is an interest degree index. The user operation is, for example, an operation for reading news. Details will be described later.

  As an example of a mode of selection by the information selection unit 303, for example, the information selection unit 303 may include a category in the acquired information storage 302 in which both the set interest level and the estimated interest level exceed a predetermined threshold in the interest table 122. It is like selecting only the news belonging to. Each news item belongs to one of the categories in the interest table 122.

  The all information acquisition unit 304 acquires more detailed information on the news selected by the information selection unit 303. The information to be acquired includes, for example, an image file. Further, when the RSS feed describes only a part of information, all information is acquired. The acquired information (all information storage 308) is displayed on the display device 14 by the information display means 305.

  FIG. 6 shows an example of a screen displayed on the display device 14 by the information display unit 305. As shown in FIG. 6A, the screen of the display device 14 displays, for example, a news title, an image of the news, and information such as a lead sentence and a text acquired from a news distribution service that distributes the news. Is done.

<Account aggregator>
Further, the information acquisition application 121 functions as an account aggregator by having the following configuration. The functional configuration is the same as that shown in FIG. In the information source table 123, registration information is associated with each information source (FIG. 4).

  The information acquisition unit 301 refers to the information source table 123 and acquires information from the network based on information for accessing each service and registration information. For example, when acquiring information from a service called SNSA, the information is acquired by accessing the URI of the SNSA and automatically logging in to the service using IDforA and PasswordforA. The structure and screen transition of the service website called SNSA must be analyzed in advance. The information acquisition unit 301 automatically acquires information based on the analysis result.

  The subsequent processing is the same as the processing in the news reader. However, the interest table 122 may be different from that of the news reader. In this case, for example, information on the friend of the user who the user wants to receive the feed and article information and the friend that the user does not want to receive is included (see FIG. 7). In FIG. 7, the former set degree of interest is “1” and the latter degree of interest is “0”.

  As shown in FIG. 6B, on the screen of the display device 14, for example, a friend's remarks and the like are displayed together with a friend's image.

<News display function and news clip function>
The screen displayed on the display device 14 includes various screens in addition to the screen illustrated in FIG. 6, and one of them is a screen illustrated in FIG. 8. FIG. 8 is an example of a screen displayed on the display device 14. The example shown in FIG. 8 is called a main screen as an example, and is a screen that serves as a hub when using the function provided by the information acquisition application 121. From this main screen, the user inputs an operation such as clicking on the tile 401 and uses functions such as a news reader and an account aggregator.

  When the tile 401 relates to news distributed by the news distribution service, the news screen as shown in FIG. 6A is displayed by the internal processing of the news reader as described above. Here, when a part of the article is clicked or tapped, the information display unit 305 causes a context bar 406 as shown in FIG. 9 to appear. In the context bar 406, a clip button 404 and an SNS cooperation button 405 are displayed so as to be selectable.

  Here, when the user selects the clip button 404, the news displayed on the screen is clipped and stored as the clip information storage 309 shown in FIG. The specific storage destination of the clip information storage 309 may be the primary storage 11 or the secondary storage 12. The clip information storage 309 can be displayed as a list or displayed in detail by the information display unit 305.

  The clip information storage 309 includes, for example, an RSS feed, a URL of a site linked from the RSS feed, and a text itself (various files such as html, css, and gif) as the clip information storage 309. be able to.

<Interest estimation function>
The interest estimation means 306 monitors the operation input for using the clip function by the user as described above, and uses it for estimation of interest. As the monitoring operation, there are operations such as clipping from the list (tile 401) on the main screen, clipping from the detailed display of the news article (FIG. 9), and reading and displaying the clip information storage 309 again. For these operations, processing is performed to increase the interest index of the category to which the news that performed the operation belongs.

  Note that the interest estimation unit 306 is not limited to an operation input for using the clip function. For example, the user selects and quotes the SNS cooperation button 405 and writes an article of his / her SNS (FACEBOOK (registered trademark) Processing that changes the interest index by monitoring operations such as displaying “like” or the like, or displaying a detailed display of a news article (FIG. 9) or scrolling the user after displaying the news article. You may do. In these operations, since it is estimated that the user is interested in the news article, processing for increasing the interest index is performed.

  Further, not only the above-described process having a positive correlation between the operation and the interest index but also a process having a negative correlation may be performed depending on the type of operation. That is, operations such as not reading the news displayed on the main screen without clicking or tapping at all, marking it as read without reading, throwing it away in the trash, or removing the clip of the article once clipped. Monitoring is performed to reduce the interest index for the category to which the news belongs.

  In addition, the act of displaying the news again after the user has clipped the news using the clip function is compared with the case where the news and the category to which the news belongs are compared to the case where the news is simply clipped and never viewed. It is estimated to be very interested. Therefore, for the act of displaying the news again after clipping it, a process of increasing the interest index relatively large is performed.

  By performing the above-described processing according to the present embodiment, it is possible to acquire a user's interest tendency with high accuracy. As a result, the accuracy of personalization increases.

  A more specific configuration of the above-described interest estimation function will be described below. FIG. 10 shows an example of the degree of change in the interest degree index by the user operation in the present embodiment. The interest estimation means 306 holds a table as shown in FIG. 10 (or may refer to it). In FIG. 10, 1W, 1M, 3M, and 1Y mean one week, one month, three months, and one year, respectively, and represent the time that has elapsed since the user operation was performed. The number represents a coefficient to be added to the interest degree index.

  For example, a certain user clips a news article a belonging to the category “soccer” on the main screen three months ago, displays it again from the clip one week ago, and a news article b also belonging to “soccer” one week ago. Suppose you have a case where you have already read without opening it on the main screen. In this case, a value obtained by adding 1.15 × 1.4 × 0.5 to the interest index immediately before these user operations are performed is the changed interest index. It goes without saying that a similar effect can be produced not by integration but by addition.

  FIG. 10 shows that the interest index may be increased and the interest index may be decreased depending on the type of user operation. As described above, in this embodiment, not only a user operation estimated to be interested in a sender of a certain category or information but also a user operation estimated to be not interested is monitored. Used for estimation. Therefore, according to this embodiment, the tendency of a user's interest can be estimated more accurately.

  Further, FIG. 10 shows that the effect of the user operation is attenuated according to the elapsed time from the time when the certain user operation is performed. In other words, it is shown that the degree of change in the degree of interest index change based on the user operation is set to decrease with time. This is to cope with the actual situation that the user's interest changes with time. In this way, by configuring so that the effect of the change in the interest index due to the user operation is attenuated, the information acquisition application 121 can appropriately cope with the future change in the interest of the user. By doing in this way, the user can tell the system only by performing a necessary operation according to his / her interest without performing an extra operation for telling the degree of interest to the system.

DESCRIPTION OF SYMBOLS 100 Information processing apparatus 200 Server on cloud 121 Information acquisition application 122 Interest table 123 Information source table 301 Information acquisition means 302 Acquisition information storage 303 Information selection means 304 All information acquisition means 305 Information display means 306 Interest estimation means 307 Interest table display edit Means 308 All information storage 309 Clip information storage 3051 Registration information monitoring means 3052 Registration incomplete judgment means 3053 Display control means 401 Tile 404 Clip button 405 SNS cooperation button 406 Context bar

Claims (13)

Storage means for storing the degree of interest representing the user's interest in the attribute of the content information for each attribute;
Display means for displaying the content information having at least one of the attributes;
When a predetermined operation is performed by designating the displayed content information by the user, the index for determining the degree of interest corresponding to the attribute of the content information is changed according to the mode of the predetermined operation An interest estimation means,
An information processing apparatus comprising:   The content information server that provides the content information, and the content detailed information server that provides the content detailed information based on the content information, and a communication unit that communicates via a network. The information processing apparatus described.   The information processing apparatus according to claim 1, wherein the index changes include a change having a directionality for setting the degree of interest high and a change having a directionality for setting the degree of interest low. .   The information processing apparatus according to any one of claims 1 to 3, wherein the degree of change in the index change is gradually decreased according to a time elapsed from the time when the predetermined operation is performed.   The information processing apparatus according to claim 1, wherein the predetermined operation is an operation for storing the content information.   The information processing apparatus according to claim 5, wherein the predetermined operation is an operation of displaying the stored content information again.   The information processing apparatus according to claim 1, wherein the predetermined operation is an operation for trying to browse all display contents based on the acquired information.   The information processing apparatus according to claim 7, wherein the operation for trying to browse all is scrolling.   The information processing apparatus according to claim 1, wherein the predetermined operation is an operation of quoting the content information and transmitting information.   10. The information processing apparatus according to claim 1, wherein the predetermined operation is an operation of adding a read mark to the content information whose details are not displayed.   The information processing apparatus according to claim 1, wherein the predetermined operation is an operation of discarding the displayed content information.   The information processing apparatus according to claim 5, wherein the predetermined operation is an operation of discarding the stored content information. On the computer,
A storage process for storing the degree of interest representing the user's interest in the attribute of the content information for each attribute;
Display processing for displaying the content information having at least one of the attributes;
When a predetermined operation is performed by designating the displayed content information by the user, the index for determining the degree of interest corresponding to the attribute of the content information is changed according to the mode of the predetermined operation Interest estimation processing,
A program that executes

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