JP5199952B2 - Information usage history sharing method, information usage history sharing device, information usage history sharing program, and recording medium recording the program - Google Patents

Description

  The present invention relates to a technology for sharing information usage histories of users in an organization in information collection activities performed via a communication network.

  As is well known, the information provided on the Internet is suitable for user information gathering activities from the viewpoint of the enormous volume, breadth, and immediacy of the information. Since it is not easy to find and find information and the quality of information varies, there are many cases where time is wasted by ending up on the net surfing or reaching information that is not directly related to the purpose.

  Therefore, as a method of finding information more efficiently, many communities that share information among users who have the same interest in each other are formed on the Internet. For example, according to a service called social bookmark (SBM) such as Non-Patent Documents 1 to 3, it is possible to publish their bookmarks on the Internet and share them with an unspecified number of people as useful information sources. can do.

  A service called a social networking service (SNS) is a service that promotes and supports the connection between people. With these services, users themselves can send out information and share information sources and build connections between people. In addition, there is a service for sharing a search keyword input by another user by displaying a search keyword input by another user with respect to a search keyword such as “Google” (registered trademark).

  The usage status of these shared services is statistically processed and presented to users as various rankings and recommended information / keywords. In the membership service, the attributes at the time of registration are also used for statistical processing. In many cases, the information extraction algorithm is not generally disclosed.

“Hatena Bookmark”, [online], “April 22, 2009 Search”, Internet URL <http: // www. hatena. ne. jp /> “EC Navi”, [online], “April 22, 2009 search”, Internet URL <http: // ecnavi. jp /> “Buzzur”, “online”, “April 22, 2009 search”, Internet URL <http: // buzzurl. jp>

  However, in recent years, not only on the Internet, but also in large-scale companies, some companies have introduced systems that can provide similar services in order to revitalize internal communication and eliminate regional disparities in information. It is increasing.

  However, in the use of services within a company, the information usage history of each user is often saved by the use of networks and information for reasons of internal control, etc., but it is saved for consideration of user privacy. The information usage history is not always effectively used from the viewpoint of information sharing. In particular, since the provision of information from information systems connected to a communication network is enormous, it is often difficult to search for useful information and information sources from information terminals.

  In other words, even if users in an organization such as a company discover useful information and information sources, in order to share information among users in the organization, the user himself / herself needs to be notified by e-mail or blog. Therefore, it is not necessarily said that these sharings have been actively performed. As a result, there is a possibility that users in the organization may reduce the efficiency of activities such as searching for information and information sources independently.

  The present invention has been made in order to solve the above-described problems, and a problem to be solved is to improve the efficiency of information collection activities in an organization such as a company.

  Therefore, the present invention provides a shared service that analyzes and extracts a user's information use history and presents an access destination recommended to the user. That is, one aspect of the present invention is a method for sharing a user's information usage history in a shared information collection activity performed via a communication network, wherein the history aggregating unit is configured so that each user receives information on the shared information. A history aggregating step for aggregating usage histories accessed at a terminal and acquiring an access destination group having a close time interval for each access destination included in the aggregated usage histories; A recommended information extraction step for extracting the recommended access destination group by rearranging the acquired proximity access destination group in the order of the time interval, and a recommended access destination group extracted by the recommended information display means in the recommended information extraction step. Selecting according to the current access status of the terminal, and displaying the selection result on the information terminal.

  Another aspect of the present invention is an apparatus for sharing a user's information use history in a shared information collection activity performed via a communication network, and each user accesses the shared information at an information terminal. A user history aggregating unit that aggregates usage histories, acquires an access destination group that is close in time interval for each access destination included in the aggregated usage history, and a proximity access destination group acquired by the user history aggregating unit, User recommended information extracting means for sorting out recommended access destination groups sorted in the order of the time intervals, and selecting the recommended access destination group extracted by the user recommended information extracting means according to the current access status of the information terminal, User recommendation information display means for presenting the selection result on the information terminal.

  The present invention may be in the form of a program for causing a computer to function as each unit of the apparatus, or in the form of a recording medium on which the program is recorded.

  According to the present invention, the efficiency of information collection activities in an organization such as a company is improved.

1 is an overall configuration example of an information sharing system using an information use history sharing apparatus according to an embodiment of the present invention. The structural example figure of the information utilization log | history sharing apparatus. Same user history aggregator. The figure which shows the process example of a user recommendation information extraction part. The flowchart which shows the process of the same user log | history aggregation part. The flowchart which shows the process of the same user recommendation information extraction part. The figure which shows the rank value calculation example of the user recommendation information extraction part. The figure which shows the output example of the same user recommendation information extraction part. The flowchart which shows the other process of the same user log | history aggregation part. Flow chart showing other processing processes of the user recommendation information extraction unit

  Hereinafter, an information use history sharing apparatus according to an embodiment of the present invention will be described. With this information usage history sharing device, considering that the number of users in an organization such as a company is at most tens of thousands, it is considered difficult to realize due to the amount of calculation when targeting general Internet users. As described above, the information usage history is analyzed in more detail, and the recommended information corresponding to the current work situation and user affiliation is extracted.

  That is, according to the apparatus, information usage history of users in the organization is automatically recorded. Based on this information usage history time interval, an access destination (for example, URL or file) recommended to the user is analyzed and extracted, and an information sharing service is provided that presents the recommended access destination according to the information usage status of any user Is done.

  This makes it possible to acquire useful information and information sources used by many in the organization for users with low information search skills. It is also possible to quickly share information and information sources discovered by users with high information search skills.

≪Example of device configuration≫
FIG. 1 shows the overall configuration of an information sharing system in an organization such as a company. Here, the information terminal 1 of each user is connected to the information use history sharing device 2 and the information providing device 3 group through the communication network 4 so as to be able to transmit and receive data.

  Each of the information providing devices 3 is constructed as a shared server installed on the communication network 4 in order to share information between users. Here, the information terminal 1 is constituted by a personal computer (PC), a portable terminal, or the like, and accesses the information providing apparatuses 3 in order to acquire information requested by each user.

  At this time, the information usage history sharing device 2 intervenes as a relay (proxy) server in data communication between the two devices 2.3, and the information usage history of each information terminal 1 accessing the information providing device 3 is aggregated. Has been. Specifically, the information use history sharing apparatus 2 includes hardware resources of a normal computer, such as a CPU, a memory (RAM), a hard disk drive device, a communication device, and the like.

  As a result of the cooperation between the hardware resource and the software resource (OS, application), the information use history sharing apparatus 2 provides the information by each user using the information terminal 1 as shown in FIG. A user history recording unit 21 group for recording the usage history of accessing the shared information of the system 3, a user history aggregating unit 22 for concatenating / aggregating the usage history of the user history recording unit 21, The user usage status input unit 23 for grasping the usage status of the current access to the information providing system 3, the recommended information extraction unit 24 for extracting the recommended information for the user from the aggregated information of the user history aggregating unit 22, The recommendation information of the recommendation information extraction unit 24 is selected according to the grasping status of the user usage status input unit 23 and transmitted to the display format of the information terminal 1 To implement and user recommendation information display unit 25 for data shaped into.

  Here, the information usage history sharing apparatus 2 is connected to the network 4 through the communication device, and the URL of shared information used (accessed) by the user at the information terminal 1 is input to the user usage status input unit 23 as needed. It is assumed that Each user history recording unit 21 is constructed on the hard disk drive device, and the user usage status grasped by the user usage status input unit 23 is recorded as a usage history for each user.

  Table 1 shows an example of recording data of the usage history of each user history recording unit 21. For each user name, the affiliation, date and access destination are recorded as the usage history. Here, (A) shows the usage history of user A, (B) shows the usage history of user B, (C) shows the usage history of user B, and is recorded in the user history recording unit 21 for each user. Has been.

  Depending on the convenience of data processing, as shown in Table 2, the user ID, affiliation ID, date and time, and access destination ID are recorded in the recorded data (P), and each name (user name / affiliation name) and ID (user (ID / affiliation ID) may be managed as recorded data (Q).

  The user history aggregating unit 22 aggregates the usage histories recorded in each user history recording unit 21, and access destinations (hereinafter referred to as neighboring access destinations) accessed around that time for each access destination are time differences. The data arranged for each is created as one list (table). For example, as shown in FIG. 3, the list L1 of neighboring access destinations of the access destination “http://aaa.com/top” is obtained from the usage histories (A) to (C) of Table 1 with the respective time difference information. And proximity access destinations can be extracted and created.

  The user recommendation information extraction unit 24 uses the time difference from the access destination “http://aaa.com/top” as a weight (rank value) for the list L1 extracted by the user history aggregating unit 22, and determines the proximity access destination. A list L2 that is aggregated and rearranged in the order of weights is created. The access destinations in the list L2 (hereinafter referred to as recommended access destinations) indicate access destinations used by the user who uses the access destination “http://aaa.com/top” before and after the higher rank.

  Such user history aggregating unit 22. The process of the user recommendation information extraction unit 24 corresponds to the main process of the usage history sharing apparatus 2, and a list of recommended access destinations is created for each access destination.

  The user recommendation information display unit 25 displays a list of recommended access destinations according to the current user usage status output from the user usage status input unit 23, that is, the access destination (URL) currently used in the information terminal 1. Select. For example, if the user is currently accessing “http://aaa.com/top” on the information terminal 1, the user recommendation information display unit 25 selects the list L2. The recommended access destination recorded in the selection list is shaped according to the interface condition of the information terminal 1 and transmitted to the information terminal 1 through the communication device.

  Each user can specify the display format setting such as the display range, the number of display items, and the display position on the screen and the setting of the display contents such as the user's affiliation to the information use history sharing apparatus 2 through the information terminal 1 It shall be The main processing of the information use history sharing apparatus 2, that is, the processing processes of the units 22 and 24 will be described below with reference to FIGS.

<< Processing Process of User History Aggregation Unit 22 >>
First, the process of the user history aggregating unit 22 will be described based on the flowchart of FIG. Here, it is assumed that the usage history shown in Table 1 is recorded in each user history recording unit 21.

  S01: Each user history recording unit 21 is accessed, and the usage histories of all users, that is, the usage histories (A) to (C) are read. The read usage histories (A) to (C) are stored in the memory (RAM).

  S02: Next, information for specifying the access destination is extracted from the use histories (A) to (C) stored in S01. Here, the access destination URL is used as the access destination information. At this time, the use histories (A) to (C) are aggregated to create an access list excluding the access destinations of the duplicate URLs. The access list after the aggregation is also stored in the memory (RAM).

  S03: Then, one specific access destination is extracted from the aggregated access list stored in S02 (S03). Here, as an example, the access destination “http://aaa.com/top” is extracted.

  S04: The access destination extracted in S03 is collated with the use history before aggregation, that is, the use histories (A) to (C) stored in S01. As a result of the collation, a list L1 is created in which the access destination used at the time close to the retrieved access destination and the relative time (time difference, time interval from the retrieved access destination) of the proximity access destination are paired, Output.

  Here, in the list L1, the URL of the proximity access destination of the access destination “http://aaa.com/top” and the relative time (Delta T) of the neighbor access destination are listed in pairs.

  S05: It is confirmed whether or not the process of S04 has been performed on the usage histories of all users stored in S01, that is, the usage histories (A) to (C) in Table 1. As a result of the confirmation, if it has been carried out, the process proceeds to S06. If it has not been carried out, the process returns to S04 and the process is resumed.

  S06: It is confirmed whether or not the processing of S03 to S05 has been performed for all the access destinations recorded in the usage histories (A) to (C) stored in S01. As a result of the confirmation, if processing has not been performed for all access destinations, processing returns to S03 and processing is resumed. On the other hand, if the process is performed for all access destinations, the process ends.

  Thus, a list of neighboring access destinations and relative times, that is, a list L1 group is created for each access destination recorded in the usage histories (A) to (C). Therefore, the list L1 group is created according to the number of access destinations in the usage history. The list L1 group created here may be stored in the hard disk drive device.

<< Processing Process of User Recommendation Information Extraction Unit 24 >>
Next, the processing process of the user recommendation information extraction unit 24 will be described based on the flowchart of FIG. Here, the lists L1 created in the processes of S01 to S06 are collected. That is, in each list L1, a plurality of the same proximity access destinations (duplicate access destinations) having different relative times may be recorded. For example, the neighboring access destination (2a). (2b) is the same URL, but the relative time is different.

  Therefore, in order to aggregate the same proximity access destinations, rank values for each access destination URL are calculated, and recommended access destinations are aggregated using the rank values as weights as shown in the list L2. In this list L2, the neighboring access destination (2a). (2b) is collected as the recommended access destination (2). This process is performed for each list L1 created in S06.

  S11. S12: First, the list L1 for each access destination is read (S11). Here, the list L1 of the access destination “http://aaa.com/top” is read, and one close access destination is extracted from the list L1 (S12). The read list L1 and the retrieved proximity access destination are stored in the memory (RAM).

  S13. S14: It is confirmed whether or not the proximity access destination extracted in S12 is a new neighbor access destination. For the confirmation, a technique such as matching with an access destination in the list L2 can be used.

  As a result of the confirmation, if it is an existing proximity access destination, the process proceeds to S15, whereas if it is a new proximity access destination, the process proceeds to S14. Here, a new proximity access destination is added to the recommended access destination list L2, and an initial rank value is set (S14). As this initial value, an arbitrary value may be set in a program or the like.

  S15: The rank value of the recommended access destination is calculated / updated. That is, the rank value of the proximity access destination determined to be new in S13 is calculated, and the initial value in S14 is updated. On the other hand, the rank value is calculated again for the proximity access destination determined to have been issued in S13, and the previous rank value is updated. This rank value can be calculated using, for example, a formula of “rank value R = 1 / (Delta T) ^ 2.” The formula for calculating the rank value may be defined in a program or the like.

  If the calculation / update of the rank value is described based on FIG. 6, the recommended access destination (1). (3) indicates the access destination determined to be new in S13, and the recommended access destination (2) indicates the access destination determined to have already been issued in S13.

  Since the recommended access destination (1) is “Delta T = 00: 00: 23 (23 sec)” as shown in the list L1, “rank value R = 1 / (23 * 23) ≈0.02” is calculated. The

  Since the recommended access destination (3) is “Delta T = 00: 26: 10 (1570 sec)” as shown in the list L1, “rank value R = 1 / (1570 * 1570) ≈0.0000004” is calculated. The

  The recommended access destination (2) is the proximity access destination (2a). The rank value R is calculated by aggregating “Delta T” in (2b). Here, the proximity access destination (2a) is indicated as “Delta T = 00: 00: 35 (35 sec)”, and the proximity access destination (2b) is indicated as “Delta T = 00: 02: 41 (161 sec)”. Has been.

  Therefore, the recommended access destination (2) is calculated as “rank value R = 1 / (35 * 35) + 1 / (161 * 161) ≈0.008”. Here, the reciprocal number obtained by squaring the absolute value of “Delta T” of the proximity access destination extracted in S12 is added to the previous rank value R and updated to a new rank value R. The rank value may be calculated using a reciprocal of the absolute value of (Delta T) or a monotonically decreasing function of “Delta T” such as exponential function EXP (− “Delta T”).

  By aggregating the rank values in this way, the rank value is increased as the number of the adjacent success destinations increases. That is, since it can be assumed that the larger the number of proximity access destinations that have already been used, the larger the number of users, the higher the ranking, the easier it is to rank.

  S16. S17: It is confirmed whether the calculation / update of S15 has been completed for all proximity access destinations listed in the list L1 (S16). As a result of the confirmation, if not completed, the processing from S12 is repeated. If completed, the recommended access destinations are sorted in descending order of rank values, and a list L2 of recommended access destinations is output. After this output, the process proceeds to S18.

  S18: It is confirmed whether or not the processing of S11 to S17 has been completed for all proximity access destinations in the list L1. As a result of the confirmation, if not completed, the processing after S11 is repeated. As a result, a recommended access destination list L2 is created for each access destination. The created list L2 group is stored in the hard disk drive.

  Table 3 shows characteristic variations of the recommended access destination obtained according to the usage history read in S11. In the above-described processing example, the entire use history of each user is read in S01, and the recommended access destination list L2 is created. According to this list L2, the recommended access destination as a “standard” for common use in the entire company in Table 3 is obtained.

  If the usage history read in S01 is narrowed down according to the target user / time range, recommended access destinations having different features other than “standard” are acquired. That is, (1) If the usage history of the most recent N days is read in S01 by each user, a recommended access destination as a “trend” that is shared throughout the company and reflects the latest trend is acquired. (2) If the usage history of the same affiliation user is read in S01, the recommended access destination as the “affiliation standard” for affiliation common use is acquired. (3) If the usage history of the same belonging user for the last N days is read in S01, the recommended access destination as the “affiliating trend” reflecting the recent trend common to the belonging is acquired. (4) If the usage history for one user is read in S01, the recommended access destination (recommended access destination for each user) used by the user is acquired.

  As a result of performing the processing process so far, as shown in FIG. 7, the recommended access destination list corresponding to the total number of access destinations (excluding duplicates) is created for each of the recommended access destinations of “standard” and “trend”. . For each of the recommended access destinations of “affiliation classic” and “affiliation trend”, a recommended access destination list corresponding to the number of affiliations × the total number of access destinations is created. For the recommended access destinations for each user, a recommended access destination list corresponding to the number of users × the total number of access destinations is created.

  The access destinations recorded in the recommended access destination lists of “standard”, “trend”, “affiliation classic”, and “affiliation trend” are assumed to be access destinations that are repeatedly used by many users. Therefore, according to the current access destination ascertained by the user usage status input unit 23, an access destination having a higher rank in the list is transmitted to the information terminal 1 through the user recommended information display unit 25. At this time, the information terminal 1 displays recommended access destinations of higher rank in the list, so that access destinations used by many users are shared among the users. As a result, useful access destinations are further used, the ranking as recommended access destinations rises, and access destinations that are not so are gradually deceived.

  As a result, users with low information search skills can acquire useful shared information and information sources used by many in the organization, and the use efficiency of shared information can be raised. As described above, according to the information use history sharing apparatus 2, an information access destination having higher utilization value that matches the purpose of the organization's activity is extracted from the information use history information of the automatically accumulated user, and the information source The search efficiency of the information source in the information sharing system is improved.

≪Other processing process≫
Even if an arbitrary user discovers a new and useful access destination, it is not easy to improve the rank in the recommended access destination list. However, the user who finds the benefit often uses the new access destination repeatedly.

  In view of this, the user history aggregating unit 22 and the user recommendation information extracting unit 24 implement a processing process for fetching newly discovered useful access destinations into recommended access destinations. This process is roughly divided into a user-specific unique access list creation process performed by the user history aggregating unit 22 and a recommendation destination determination process performed by the user recommendation information extraction unit 24.

  The access list creation process will be described with reference to the flowchart of FIG. Here, the user history aggregating unit 22 first reads the created access destination list of “standard”, “trend”, “affiliation classic”, and “affiliation trend” (S21). Next, the usage history recording unit 21 is accessed, the usage history for each user is read (S22), and the access destination is extracted from the usage history (S23). If the retrieved access destination corresponds to the access destination of “standard”, “trend”, “affiliation classic”, and “affiliation trend” recorded as the recommended access destination, it is removed from the usage history for each user (S24). Create a unique access list for This processing process is performed for all access destinations recorded in the usage history of each user (S25 and S26). As a result, the unique access list is created for the maximum “number of users * total number of access destinations” and is output to the user recommendation information extraction unit 24.

  In the determination process, the user recommendation information extraction unit 24 selects at random from the access destinations recorded above the unique access list group, and adds them to the recommended access destination list if they match the recommended access. The specific processing content will be described with reference to FIG.

  S31: First, the user recommendation information extraction unit 24 reads the current user's access destination from the grasp information of the user usage status input unit 23. Here, the URL of the information currently being accessed by the information terminal 1 is acquired.

  S32 to S34: Next, the access destination recorded in the higher rank of the unique access list group is read (S32), and the access destination is randomly extracted from the read access destination group (S33). An access document is acquired from the extracted access destination in order to determine whether it matches the recommended access destination (S34).

  S35: It is determined whether or not the access destination extracted in S33 is suitable for the recommended access destination. The determination method will be described. First, the size B (bytes) of the access document acquired in S34 is confirmed (S41). Next, the access document is collated with a dedicated term dictionary G prepared for each industry for morphological element analysis and the like, and the number of technical terms c included in the access document is counted (S42).

  The suitability to the recommended access destination is determined using the size B of the access document and the number of technical terms c acquired in this way (S43). At this time, if “(number of technical terms c / size B)> x” is satisfied, it is determined to be suitable, while if not satisfied, it is determined to be incompatible. Here, “x” is a threshold (0 <x <1) set in a program or the like. If it is determined that it matches the recommended access destination, the process proceeds to S36. If it is determined that the recommended access destination does not match, the process returns to S33 to extract another access destination, and the subsequent processing is repeated.

  S36: The access destination determined to be compatible in S35 is added to the recommended access destination. Here, a list of unique access destinations determined to be compatible is created. By repeating the processing of S33 to S35, a list of unique access destinations is created for the maximum number of users * total number of access destinations.

  The list created here includes the recommended access destination list of “standard”, “affiliation classic”, “trend”, and “affiliation trend” corresponding to the access destination read in S31, and the user recommended information display as the recommended access destination. The information is output to the unit 25 and transmitted to the information terminal 1 according to the current access destination grasped by the user usage status input unit 23.

  Therefore, a newly discovered useful access destination is taken into the shared information between users, so that an access destination discovered by a user with high information search skills can be used quickly. The search efficiency of information sources is improved.

≪Programs≫
The present invention can also be configured as a program that causes a computer to function as part or all of the means 21 to 25 of the information use history sharing apparatus 2. This program is S01-S06. S11-S18. S21 to S26. S31-S36. The computer may execute all or some of steps S41 to S43.

  The program can be provided through a network such as a website or e-mail. The program is recorded on a recording medium such as a CD-ROM, DVD-ROM, CD-R, CD-RW, DVD-R, DVD-RW, MO, HDD, Blu-ray Disk (registered trademark). It is also possible to save and distribute. This recording medium is read using a recording medium driving device, and the program code itself realizes the processing of the above embodiment, so that the recording medium also constitutes the present invention.

DESCRIPTION OF SYMBOLS 1 ... Information terminal 2 ... Information utilization history sharing apparatus 3 ... Information provision apparatus 21 ... User history recording part 22 ... User history collection part (history collection means)
23 ... User usage status input unit 24 ... User recommendation information extraction unit (recommendation information extraction means)
25. User recommended information display section (recommended information display means)

Claims (10)

A method for sharing a user's information usage history in a shared information collection activity performed via a communication network,
A history aggregating step in which a history aggregating unit aggregates usage histories that each user has accessed from the information terminal to the shared information, and acquires an access destination group having a close time interval for each access destination included in the usage histories after the aggregation When,
A recommended information extracting unit that extracts the recommended access destination group by rearranging the proximity access destination groups acquired in the history aggregation step in the order of the time intervals;
A recommended information display means for selecting the recommended access destination group extracted in the recommended information extraction step according to the current access status of the information terminal, and causing the information terminal to present the selection result;
An information use history sharing method characterized by comprising:   2. The information usage history sharing method according to claim 1, wherein in the usage history aggregation step, the range of the usage history can be limited and aggregated. Calculating the rank value of each neighboring access destination using a monotonically decreasing function of the time interval in the recommendation information extracting step;
Extracting the result of sorting the neighboring access destination groups according to the rank value as the recommended access destination group, and
3. The information use history sharing method according to claim 1, wherein when the neighboring access destinations overlap, the rank values are aggregated. 4. The usage history aggregating unit removing the proximity access destination group from the usage history recorded for each individual user to obtain a recommended candidate access destination;
The user recommendation information extracting means collates the shared information acquired from the recommended candidate access destination with a dictionary prepared in advance, and adds the recommended candidate access destination to the user recommended access destination according to the collation result; ,
The information use history sharing method according to claim 1, further comprising: A device for sharing a user's information usage history in a shared information collection activity performed via a communication network,
A user history aggregating means for aggregating usage histories accessed by each user on the shared information to the shared information, and acquiring an access destination group having a close time interval for each access destination included in the aggregated usage histories;
User recommendation information extracting means for extracting the recommended access destination group by rearranging the proximity access destination group acquired by the user history aggregation unit in the order of the time interval;
A recommended access destination group extracted by the user recommendation information extraction means, according to the current access status of the information terminal, and a user recommendation information display means for causing the information terminal to present the selection result;
An information use history sharing apparatus comprising:   6. The information usage history sharing apparatus according to claim 5, wherein the user usage history aggregating means can consolidate the range of the usage history. The recommendation information extracting means calculates a rank value of each neighboring access destination using a monotonically decreasing function of the time interval;
Means for extracting the result of sorting the neighboring access destination group according to the rank value as the recommended access destination group,
The information use history sharing apparatus according to claim 5, wherein when the neighboring access destinations overlap, the rank values are aggregated. Means for removing the proximity access destination group from the usage history of each user and obtaining a recommended candidate access destination;
Means for collating the shared information acquired from the recommended candidate access destination with a dictionary prepared in advance, and adding the recommended candidate access destination to the user recommended access destination according to the collation result;
The information use history sharing apparatus according to any one of claims 5 to 7, further comprising:   An information use history sharing program for causing a computer to function as each means of the information use history sharing apparatus according to claim 5.   A recording medium on which the information use history sharing program according to claim 9 is recorded.

Images