JP6262123B2 - Information processing apparatus, program, and information processing method - Google Patents

Description

  The present invention relates to a technique for providing a service using location information.

  In recent years, a service called SNS (Social Network Service) has become widespread. In SNS, you can participate by receiving invitations from friends. When participating in SNS, the user registers his / her birthplace, hobbies, etc. as a profile and publishes it. By looking at this published profile, SNS participants can interact with people who have a common hobby or who are close to their hometown, and can expand their friendships.

  Patent Document 1 uses a member personal information database 23 that holds a plurality of personal information including a member ID and a plurality of keywords that represent a member's hobbies, and a first member ID and a first keyword of the first member. The extraction unit 34 for extracting personal information having a high degree of correlation with the personal information of the first member among the plurality of personal information held in the member personal information database 23, and the personal information having a high degree of correlation extracted by the extraction unit 34 Discloses a technology relating to an information providing system including a providing unit 20 that provides the information to a member terminal of a first member.

JP 2007-233794 A

  However, in the conventional technique such as Patent Document 1, for example, since the user who is a member can freely set his / her hobbies, personal information such as registered hobbies is poor in objectivity and certainty.

  In view of the above circumstances, an object of the present invention is to provide reliability to profile information such as personal information published on the SNS.

  An information processing apparatus according to the present invention includes an extraction unit that extracts a predetermined keyword from profile information registered by a user, and a calculation unit that calculates the reliability of profile information based on user behavior analysis information and the extracted keyword Including those provided with.

  It is desirable that the behavior analysis information includes an area determined to be visited frequently by the user based on position information acquired from the terminal device of the user, and attribute information associated with the area.

  It is desirable that the calculation unit calculates the reliability based on the frequency of the user visiting the area associated with the attribute information corresponding to the extracted keyword.

  The extraction unit extracts keywords from information related to the user's hobbies from the profile information, and the calculation unit determines whether the user frequently visits the area excluding the area including the user's work place or home from the area. It is desirable to calculate the reliability based on this.

  Further, the program according to the present invention calculates the reliability of profile information based on the step of extracting a predetermined keyword from the profile information registered by the user to the computer, the behavior analysis information of the user, and the extracted keyword. And a program for executing the steps.

  The method according to the present invention is a method implemented in a computer, wherein the computer extracts a predetermined keyword from profile information registered by the user, based on the user behavior analysis information and the extracted keyword. Calculating the reliability of the profile information.

  Further, the program of the present invention can be installed or loaded on a computer by downloading it through various recording media such as an optical disk such as a CD-ROM, a magnetic disk, and a semiconductor memory, or via a communication network. .

  Further, in this specification and the like, the “unit” does not simply mean a physical configuration, but also includes a case where the functions of the configuration are realized by software. In addition, functions of one configuration may be realized by two or more physical configurations, or functions of two or more configurations may be realized by one physical configuration.

  ADVANTAGE OF THE INVENTION According to this invention, it becomes possible to give reliability to profile information, such as personal information published on SNS.

It is a block diagram of the information processing system in embodiment of this invention. It is a figure which shows an example of action analysis information DB in embodiment of this invention. It is a figure which shows an example of mesh information DB in embodiment of this invention. It is a figure which shows the flow of the reliability provision process in embodiment of this invention.

[Embodiment]
Hereinafter, one embodiment of the present invention will be described in detail. The following embodiments are examples for explaining the present invention, and are not intended to limit the present invention only to the embodiments. The present invention can be variously modified without departing from the gist thereof. Furthermore, those skilled in the art can employ embodiments in which the elements described below are replaced with equivalent ones, and such embodiments are also included in the scope of the present invention. Furthermore, positional relationships such as up, down, left, and right shown as needed are based on the display shown unless otherwise specified. Furthermore, various dimensional ratios in the drawings are not limited to the illustrated ratios. In the following, for ease of understanding, an embodiment in which the present invention is realized using an information processing apparatus will be described as an example. However, as described above, the present invention is not limited thereto.

  FIG. 1 is a system configuration diagram of an information processing system 10 including an information processing apparatus 100 according to the present embodiment. As shown in FIG. 1, an information processing apparatus 100, a terminal apparatus 200, and an SNS server 300 are set to be communicable with each other via a network 400 such as the Internet or a dedicated line, thereby configuring a map display system. The network 400 is configured by a wireless network or a wired network. Examples of communication networks include mobile phone networks, PHS (Personal Handy-phone System) networks, wireless LAN (Local Area Network), 3G (3rd Generation), LTE (Long Term Evolution), 4G (4th GenerationMex), (Registered Trademark), infrared communication, Bluetooth (Registered Trademark), wired LAN, telephone line, power line network, IEEE 1394, and other networks.

  The terminal device 200 is an information processing device having a function of intermittently acquiring probe information using, for example, GPS (Global Positioning System) or the like and transmitting the probe information to the information processing device 100 via the network 400. Although not shown in FIG. 1, the terminal device 200 includes a main control unit including a CPU and a memory, a communication unit for connecting to the network 400, an input unit such as a touch panel that receives an operation from a user, and a display unit that displays a screen. It is preferable that a positioning unit for positioning the current position information is provided.

  The probe information is information including a user ID, positioning time, latitude / longitude, and the like. Here, as an interval at which the terminal device 200 transmits the probe information to the information processing system 10, for example, a 5-minute interval, a 10-minute interval, or the like is conceivable, but is not limited thereto. It does not matter whether the interval is regular or irregular.

  Specifically, the terminal device 200 is, for example, a mobile phone (whether it is a so-called smart phone or a feature phone), a tablet, a notebook PC (Personal Computer), a PDA (Personal Data Assistance), a game. Although a machine, a car navigation device, etc. are assumed, it is not restricted to these. For example, it may be a terminal device such as a desktop PC that does not have portability.

  The SNS server 300 is a server computer that provides an SNS service. As shown in FIG. 1, the SNS server 300 is connected to an input unit 310 that receives an operation from an administrator of the SNS server 300, a control unit 320 that includes a CPU (not shown) and a memory (not shown), and a network 400. And a storage unit 330 in which information necessary for providing the SNS service is stored. The storage unit 330 preferably stores a user information DB 331 in which information on users who use the SNS service is registered. In the user information DB 331, it is desirable that the user ID and the profile information such as the place of residence, hometown, work place, and hobby are registered in association with each other.

  Next, each configuration of the information processing apparatus 100 will be described. As illustrated in FIG. 1, the information processing apparatus 100 includes an input unit 110, a control unit 120, a storage unit 130, and a communication unit 140.

  The input unit 110 is configured to receive an operation from an administrator of the information processing apparatus 100, and can be realized by a keyboard, a mouse, a touch panel, or the like.

  The control unit 120 includes an arithmetic processing unit 121 such as a CPU or MPU, a memory 122 such as a RAM, and an image processing unit (not shown). The arithmetic processing unit 121 operates various functional units by executing a program recorded in the storage unit 130 based on various inputs. This program may be stored in a recording medium such as a CD-ROM, or distributed via the network 400 and installed in a computer. The memory 122 is for temporarily storing various types of data necessary for computation and the like during execution of processing in the server program and the program.

  The storage unit 130 is configured by a storage device such as a hard disk, and records various programs necessary for executing processing in the control unit 120, data necessary for executing the various programs, and the like. Specifically, it is desirable that the storage unit 130 includes a behavior analysis information DB 131 and a mesh information DB 132.

  In the behavior analysis information DB 131, analysis results of probe information collected from the terminal device 200 are accumulated. Specifically, for each user, information such as positioning time and latitude / longitude included in the probe information is analyzed, and a mesh including the user's home, a mesh including the workplace, a mesh frequently used on holidays, etc. are accumulated. It is desirable that

  A mesh refers to a plurality of divided areas obtained by dividing a map based on latitude and longitude. In the present embodiment, the mesh is described as a square area, but the present invention is not limited to this, and the shape and size of the mesh divided area can be appropriately set according to specifications and design. For example, the mesh shape can be a region surrounded by a polygon such as a quadrangle, a hexagon, or a rhombus, or a curve such as a circle. Moreover, the size of the mesh may not be constant. For example, when the user wants to specify a frequently staying mesh, the size of the mesh can be set large. On the other hand, when the user wants to specify a store or the like frequently visited, the mesh size can be set small. For example, the urban mesh may be made smaller (finer). In addition, the size of the mesh may be changed for each region according to demographic information (for example, the mesh in a region with a large population is made smaller), or the size may be set based on the classification of the municipality, the type of residential land, etc. . In this embodiment, a 25-meter square mesh is desirable, but the present invention is not limited to this.

  FIG. 2 is a diagram illustrating an example of the behavior analysis information DB 131. As shown in FIG. 2, in the behavior analysis information DB 131, 10 meshes are registered in association with the user ID, the home mesh, the work place mesh, and the frequently visited mesh in descending order. In the example of FIG. 2, the minimum latitude / longitude and maximum latitude / longitude of the mesh are registered as meshes, but the present invention is not limited to this, and for example, mesh codes may be registered. Further, the mesh that is frequently used may be a mesh that is frequently used at a predetermined timing such as a holiday, a weekday night, or a specific day of the week. Further, although not shown in FIG. 2, “the date and time when the mesh was last visited” may be registered in the behavior analysis information DB 131 in association with frequently used meshes.

  As shown in FIG. 3, the mesh information DB 132 is registered with a mesh ID and mesh attribute information associated with each other. In the example of FIG. 3, mesh classification and a keyword associated with the mesh are registered as mesh attribute information.

  The information processing apparatus 100 or the like can determine the mesh division based on the analysis result of the probe information. Specifically, meshes with many people in the daytime on weekdays are “office districts”, meshes with many people at midnight are “residential districts”, meshes with many people at night are “business districts”, and holidays A mesh with a large number of people is assigned as an “excursion facility”, and a mesh with few people is assigned as an “depopulated area”.

  Further, the keyword associated with the mesh can be determined by the information processing apparatus 100 or the like based on the facility information assigned to the building included in the mesh. For example, keywords such as “soccer”, “sports”, and “watching sports” are linked to a mesh including a soccer field. Note that the keyword may be determined based on facility information assigned to a plurality of buildings. For example, when a soccer stadium, an athletic stadium, and a large shopping center are included in the mesh, “soccer”, “land”, and “shopping” may be registered as keywords associated with the mesh.

  Furthermore, as illustrated in FIG. 1, the arithmetic processing unit 121 includes an extraction unit 1211 and a calculation unit 1212 as functional units.

  The extraction unit 1211 extracts a predetermined keyword from the profile information registered by the user. For example, as an example, the extraction unit 1211 may extract a keyword from information related to the user's hobby among the profile information. In addition, the extraction unit 1211 may extract the names of cities, towns and villages such as residence, work place, and birthplace.

  In the present embodiment, the profile information is registered in the user information DB 331 of the SNS server 300. Therefore, the extraction unit 2111 extracts a predetermined keyword from the profile information based on an item to which reliability is to be given. For example, when the reliability is given to the hobby, the predetermined keyword may indicate a word representing a hobby such as sports, reading, and mountain climbing. Further, for example, when a reliability is given to a place of birth, a place name such as a municipality name may be indicated.

  The calculation unit 1212 calculates the reliability of the profile information based on the information registered in the behavior analysis information DB 132 and the keyword extracted by the extraction unit 1211. It is desirable that the calculation unit 1212 calculates the reliability based on the frequency with which the user visits the mesh associated with the attribute information corresponding to the extracted keyword.

  The reliability is preferably calculated as a percentage, for example, but is not limited thereto. For example, it may be calculated with numerical values in five stages from 1 to 5, or may be calculated in three stages of high, medium and low.

  For example, when calculating the reliability with respect to the hobby, the calculation unit 1212 can calculate the reliability based on the frequency with which the user visits the mesh excluding the mesh including the home or work place.

  Specifically, the calculation unit 1212 refers to the mesh information DB 132 and extracts a mesh having attribute information including the extracted keyword. When extracting the mesh, the calculation unit 1212 may obtain a degree of association between the keyword and the attribute information using a conventional keyword matching technique, and may extract a mesh having a degree of association equal to or higher than a threshold. Further, the calculation unit 1212 refers to the record of the corresponding user in the behavior analysis information DB 131, and determines how often the extracted mesh is visited by the user. For example, when the extracted mesh is the mesh that the user goes most frequently, the highest reliability may be calculated. On the other hand, when the extracted mesh is a mesh that is not registered as a frequent mesh in the user's record, the lowest reliability may be calculated. When the “last visited date” is also registered in the behavior analysis information DB 131 in association with a frequent mesh, the calculation unit 1212 can also specify the period and calculate the reliability. It is. Specifically, the calculation unit 1212 obtains a frequent mesh in which “last visited date” is included in a specified period (for example, the latest 1 to 3 months) among the corresponding user records in the behavior analysis information DB 121. To do. Then, the calculation unit 1212 can calculate the reliability based on how many times the extracted mesh is frequently visited among the acquired frequent meshes. This makes it possible to provide reliability from the viewpoint of when the profile information is supported by the user's behavior.

  Next, the flow of the reliability calculation process of the information processing apparatus 100 will be described with reference to FIG. Each processing step included in the processing flow described below can be executed in any order or in parallel as long as there is no contradiction in the processing contents. These steps may be added. Further, a step described as one step for convenience can be executed by being divided into a plurality of steps, while a step described as being divided into a plurality of steps for convenience can be grasped as one step.

A user who is a member of the SNS system provided by the SNS server operates the terminal device 200 and registers his / her profile information in the SNS server 300. The registered profile information is stored in the user information DB 331 in association with the user ID. For example, a case where the user registers the following profile information will be described as an example. At this time, the information shown in FIGS. 3 and 4 is assumed to be stored in the storage unit 130.
・ Hometown Kawasaki City ・ Hometown Kobe City ・ Workplace Yokohama City ・ Hobbies Watching baseball games, climbing

  When the user registers profile information, the SNS server 300 transmits a reliability grant request to the information processing apparatus 100. The reliability grant request preferably includes the user ID of the target user, the target item, and the like. In this example, it is assumed that the user ID of the target user is “UID0001” and the target item is “hobby”. The extraction unit 1211 of the information processing apparatus 100 that has received the reliability grant request accesses the SNS server 300 via the communication unit 140 and refers to the user information DB 331 (S101). The extraction unit 1211 extracts two keywords “baseball game” and “mountain climbing” as hobbies from the record corresponding to UID0001 (S103).

  Next, the calculation unit 1212 refers to the behavior analysis information DB 131 (S105), and acquires 10 meshes frequently visited by the user, excluding the mesh including the home or work place, in descending order of frequency of visit (S107). At this time, for example, the calculation unit 1212 may acquire ten meshes that are frequently visited in descending order of visiting frequency, from among the meshes whose “last visited date” is within the last three months. Then, the calculation unit 1212 checks the keywords associated with the ten acquired meshes with reference to the mesh information DB 132 (S109). In the example of FIG. 3, the minimum latitude / longitude of the mesh with which the user with UID0001 is most frequent is (ccc.ccc, ddd.ddd), and the maximum latitude / longitude is (CCC.CCC, DDD.DDD). Referring to FIG. 4, this mesh is associated with keywords such as “baseball” and “watching baseball”. For this reason, the hobby “watching baseball” of the user with UID0001 matches the keyword associated with the most frequently used mesh (S111: YES), so the calculation unit 1212 gives the highest reliability (S113).

  On the other hand, when there is no mesh associated with the keyword “mountain climbing” in the frequent mesh of UID0001 (S111: NO), the calculation unit 1212 gives the lowest reliability (S123). The reliability calculated by the calculation unit 1212 is preferably transmitted to the SNS server 300 and displayed together with the user profile information (S115).

  In this way, it is possible to objectively evaluate whether or not the registered profile information is reliable by calculating the reliability of the user's profile information based on the mesh that the user actually goes through. It becomes possible. Thereby, reliability can be given to profile information such as personal information published on the SNS.

[Other embodiments]
Although the embodiments of the present invention have been described above, the present invention is not limited to the above-described embodiments, and various modifications and changes can be made based on the technical idea of the present invention.

  For example, in the above-described embodiment, the configuration in which the information processing apparatus 100 and the SNS server 300 are mounted as separate housings has been described. However, the present invention is not limited to this, and the information processing apparatus 100 and the SNS server 300 may be mounted on the same housing. The SNS server 300 may not be included in the information processing system 10.

  In the above-described embodiment, the user can freely register profile information such as hobbies, but is not limited to this. For example, the profile information may be selected by pull-down or the like from previously prepared options.

  Furthermore, in the above-described embodiment, the SNS server 300 is described as a configuration for transmitting a reliability grant request, but the present invention is not limited to this. For example, a user of a system provided by the SNS server 300 may transmit a reliability grant request by operating his / her terminal device in order to confirm the reliability of other users. In this case, it is preferable that the reliability calculated by the calculation unit 1212 is transmitted to the terminal device that has made the reliability grant request. Further, the calculation unit 1212 may calculate the reliability according to the request of the user who registered the profile information. In this case, the reliability is desirably disclosed together with the profile information.

  Furthermore, although the calculation part 1212 demonstrated the structure which can calculate reliability with respect to profile information, such as a birthplace and a hobby, in the above-mentioned embodiment, it is not limited to this. For example, the calculation unit 1212 may be able to calculate the reliability of information such as the user's age, sex, and date of birth. In this case, it is desirable that the mesh information DB 132 stores generations, genders, and the like that are frequently visited in association with each other based on information on facilities, stores, and the like included in each mesh as attribute information. For example, when a store handling baby goods is included in a certain mesh, “female 30s” may be associated with the mesh.

DESCRIPTION OF SYMBOLS 10 Information processing system 100 Information processing apparatus 110 Input part 120 Control part 121 Operation processing part 1211 Extraction part 1212 Calculation part 130 Storage part 131 Behavior analysis information DB
132 Mesh information DB
140 Communication Unit 200 Terminal Device 300 SNS Server 310 Input Unit 320 Control Unit 330 Storage Unit 340 Communication Unit 400 Network

Claims (4)

An extraction unit for extracting a predetermined keyword from the profile information registered by the user;
And areas that have been determined to have a high frequency of the user visits based on the acquired positional information from the terminal device of the user, based on the attribute information brute cord to the area and including behavioral analysis information, extracted with the keyword A calculation unit for calculating the reliability of the profile information;
With
The calculation unit is
An information processing apparatus that calculates a reliability based on a frequency with which the user frequently visits an area associated with the attribute information corresponding to the extracted keyword . The extraction unit includes:
Of the profile information, extract keywords from information about the user's hobbies,
The calculation unit includes:
2. The information processing according to claim 1, wherein the reliability is calculated based on a high frequency of the user visiting an area excluding an area including the work place or home of the user from the area. apparatus. On the computer,
Extracting a predetermined keyword from the profile information registered by the user;
And areas that have been determined to have a high frequency of the user visits based on the acquired positional information from the terminal device of the user, based on the attribute information brute cord to the area and the keyword extracted with including behavior analysis information Calculating the reliability of the profile information;
And execute
The step of calculating the reliability includes
Further comprising calculating a reliability based on the frequency of the user visiting the area associated with the attribute information corresponding to the extracted keyword,
Program. A computer-implemented method comprising:
The computer is
Extracting a predetermined keyword from the profile information registered by the user;
And areas that have been determined to have a high frequency of the user visits based on the acquired positional information from the terminal device of the user, based on the attribute information brute cord to the area and the keyword extracted with including behavior analysis information Calculating the reliability of the profile information;
Run
The step of calculating the reliability includes
Further comprising calculating a reliability based on the frequency of the user visiting the area associated with the attribute information corresponding to the extracted keyword,
Method.