JP7294055B2 - File recommendation system, file recommendation program, file recommendation method, and file recommendation device - Google Patents

Description

The present invention relates to a file recommendation system, a file recommendation program, a file recommendation method, and a file recommendation device.

A technique for recommending (presenting) reusable files for the purpose of improving business productivity is known.

JP 2012-146039 A

By the way, in an ICT (Information and Communication Technology) system, for the purpose of avoiding ICT risks, a mechanism is provided for detecting an operation or the like corresponding to a policy violation. For example, in an ICT system, an information processing device such as a server collects operation logs of business terminals, which are endpoints. Such operation logs often have a large amount of data, and may be stored for a long period of time, such as several years.

However, even though the operation logs are stored in a storage area or recording medium, they are often not used unless an event such as a security incident occurs that requires analysis of the operation logs. In other words, system resources that store operation logs are wasted.

Therefore, the inventors paid attention to this point and thought that limited system resources could be effectively utilized if the accumulated operation logs could be used to recommend files that could be diverted to business terminals.

One object of the present invention in one aspect is to provide a mechanism for making effective use of accumulated operation logs and recommending files that can be diverted.

In one aspect, the file recommendation system may have a plurality of information processing terminals and a server. Each of the information processing terminals may include an acquisition unit that transmits an operation log regarding operations performed by the information processing terminal to the server, and a recommendation unit that receives data from the server. The server may have a storage area, a search unit, an identification unit, and an output unit. The storage area may store an operation log including at least a file name of a file and a storage location of the file collected from each of the plurality of information processing terminals. Based on a file name of a first file to be processed by a first information processing terminal of the plurality of information processing terminals or a character string input to the first file, the search unit Then, one or more files related to the first file may be searched using the operation log as a search target. When the search for the one or more files is successful, the identifying unit selects a second file that can be accessed using user information of a user who operated the first file based on the storage location, It may be specified from among the one or more files. The output unit may output information about the identified second file to the first information processing terminal.

In one aspect, it is possible to provide a mechanism for making effective use of accumulated operation logs to recommend diversionable files.

1 is a block diagram showing a configuration example of a business system according to one embodiment; FIG. FIG. 2 is a block diagram showing an example functional configuration of a recommendation server and a business terminal according to an embodiment; FIG. 3 is a diagram showing an example of an operation log DB (database); It is a figure explaining an example of the flow of processing in a business system. It is a figure which shows an example of recommendation log|history DB. FIG. 11 is a diagram showing a display example of a recommendation window; FIG. 11 is a diagram showing a display example of a recommendation window; FIG. 11 is a diagram showing a display example of a recommendation window; FIG. 11 is a diagram showing a display example of a recommendation window; FIG. 11 is a flowchart for explaining an operation example of file operation log transmission processing by a business terminal; FIG. FIG. 11 is a flowchart for explaining an operation example of file operation log storage processing by a recommendation server; FIG. FIG. 11 is a flowchart for explaining an operation example of recommendation information transmission processing by a recommendation server; FIG. FIG. 11 is a flowchart for explaining an operation example of recommendation information display processing by a business terminal; FIG. FIG. 10 is a flowchart for explaining an operation example of recommendation information re-search processing by a recommendation server; FIG. 2 is a block diagram showing a hardware configuration example of a computer that implements the function of a recommendation server; FIG.

BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, embodiments of the present invention will be described with reference to the drawings. However, the embodiments described below are merely examples, and are not intended to exclude various modifications and application of techniques not explicitly described below. For example, this embodiment can be modified in various ways without departing from the spirit of the embodiment. In the drawings used in the following description, parts with the same reference numerals represent the same or similar parts unless otherwise specified.

[1] One Embodiment [1-1] Configuration Example of Business System FIG. 1 is a block diagram showing a configuration example of a business system 1 according to one embodiment. The business system 1 is a system for performing predetermined business in an organization such as a company or an organization, and is an example of an ICT system. As shown in FIG. 1, the business system 1 may illustratively include a recommendation server 2 and a plurality of business terminals 3a and 3b.

The business terminals 3a and 3b are computers such as PCs (Personal Computers) or servers used by employees of the organization in the business system 1, and are examples of information processing terminals used by users. In the description of one embodiment, a business terminal used by an employee who creates a file (a file is recommended) is referred to as a business terminal 3b, and a business terminal used by other employees is referred to as a business terminal 3a. . Hereinafter, when the business terminals 3a and 3b are not distinguished, they are simply referred to as "business terminal 3".

The recommendation server 2 is an example of an information processing device that collects operation logs of the business terminal 3, which is an endpoint, in order to detect operations that violate policies in order to avoid ICT risks in the business system 1. be.

The recommendation server 2 may be a virtual server (VM; Virtual Machine) or a physical server. Also, the function of the recommendation server 2 may be implemented by one computer, or may be implemented by two or more computers. Furthermore, at least part of the functions of the recommendation server 2 may be implemented using HW (Hardware) resources and NW (Network) resources provided in a cloud environment.

Also, the recommendation server 2 may be connected to another device, for example, the business terminal 3 via a network so as to be able to communicate with each other. The network may include a WAN (Wide Area Network), a LAN (Local Area Network), or a combination thereof. A WAN may include the Internet.

The recommendation server 2 according to one embodiment makes effective use of the operation logs thus collected and accumulated to recommend files that can be diverted to processing in the business terminal 3b. For example, based on the file operation log 1a collected from the business terminal 3a and the operation information 1b related to the first file to be processed by the business terminal 3b, the recommendation server 2 uses it for processing at the business terminal 3b. Output recommendation information 1c about possible files.

As illustrated in FIG. 1 , the recommendation server 2 according to one embodiment includes an operation log DB (Database) 21 and a matching unit 22 .

The operation log DB 21 is a DB for accumulating file operation logs 1a of operation contents performed by a plurality of business terminals 3. FIG. The recommendation server 2 may, for example, collect the file operation logs 1a from each of the plurality of business terminals 3 including the business terminal 3b and store them in the operation log DB 21 .

The file operation log 1a is an example of an operation log, and may include at least the file name of the file to be operated and the storage location of the file. "File name" is the name of the file, and may or may not include an extension. The “storage location” may be a network or local folder (directory) path. The "full path" of the file can be specified by the storage location and file name.

In addition to the above information, the file operation log 1a may include the contents of operations (processes) on files. The content of the operation may include, for example, an input character string such as text input to the file.

The matching unit 22 performs matching between the operation log DB 21 (file operation log 1a) and the operation information 1b transmitted from the business terminal 3b. Output to the terminal 3b.

The operation information 1b may include, for example, the file name of the first file to be processed by the business terminal 3b, or a character string input to the first file. In other words, the operation information 1b can be regarded as the file operation log 1a relating to the operation on the first file, or at least part of the file operation log 1a.

The first file to be processed may be, for example, a file on which processing such as creation, movement, renaming, input, and update is performed. At least one of the create, move, rename, enter, and update operations are examples of file "save" operations, as they involve storing new or modified files in the save area. In other words, when the matching unit 22 receives the operation information 1b transmitted as the file operation log 1a of the saving process for the first file from the business terminal 3b, the matching unit 22 triggers the reception of the operation information 1b as follows. processing may be performed.

For example, based on the operation information 1b, the matching unit 22 searches the file operation logs 1a collected from the other business terminals 3a as search targets for one or more files related to the first file.

Further, when the matching unit 22 successfully searches for one or more files, the matching unit 22 selects one second file that can be accessed using the user information of the user who operated the first file based on the storage location. Identify from the above files. The user information of the user includes, for example, authentication information such as a user account in the business system 1 set for the employee of the business terminal 3b. For example, the matching unit 22 determines whether access to the storage location of the successfully searched file is permitted (or denied) by the user account of the employee, and access to the storage location is determined. may identify a second file that is accepted (or not rejected).

Then, the matching unit 22 collects information about the identified second file, such as the full path of the second file, or information about the last updater of the second file (at least one of "terminal number" and "user name"). ) is output to the business terminal 3b as the recommendation information 1c. The business terminal 3b may display, for example, a recommendation window or the like based on the recommendation information 1c on a display device such as a monitor to present the recommendation information 1c to the employee.

By the way, as described above, in one embodiment, the file operation log 1a to be searched by the matching unit 22 is data collected from the business terminal 3 and related to the operation of the business terminal 3 by the employee. For example, the data related to the operation is the operation for the file itself, and the access rights set for the area (storage location) in which the file is stored cannot be specified from the operation log.

Therefore, the recommendation server 2 according to an embodiment first specifies a recommendation candidate file, and then determines whether or not the user whose file information is recommended can access the recommendation candidate file. As a result, it is possible to effectively use the operation log, which has been used only in a limited manner, to specify access rights and the like, and to specify files accessible by the user.

In the above description, an example in which the operation log acquired from the business terminal 3 is stored in the operation log DB 21 is used, but the area for storing the operation log is not limited to this. For example, after a predetermined period of time has passed since the operation log was acquired, the storage location may be changed to an external storage medium or a low-speed storage device for archiving.

In addition, as illustrated in FIG. 1, the recommendation server 2 has a function that operates when an event such as a security incident that requires operation log analysis occurs (in other words, in the event of an emergency). 2a, a processing unit 2b and a transmitting unit 2c.

The receiving unit 21a may receive an instruction related to the operation log analysis process. The processing unit 21b may read the operation log from the storage area in response to the reception of the instruction, and execute the analysis process according to the instruction. The transmission unit 21c may transmit the result of the analysis processing to the terminal that sent the instruction.

As an example, when an event requiring operation log analysis such as a security incident occurs, the reception unit 2a receives an operation log analysis instruction from the management terminal 4 operated by a system administrator or the like. In response to the instruction, the processing unit 2b refers to the operation log stored in the recommendation server 2, and executes data analysis processing required for responding to the security incident. Then, the transmission unit 2 c transmits the result of the analysis processing performed by the processing unit 2 b to the management terminal 4 . Examples of security incident analysis processing include identification of the operation that caused the incident, identification of the user who performed the operation, identification of the date and time when the operation was performed, and the like.

As described above, according to the business system 1 according to one embodiment, it is possible to automatically recommend related files based on the file name of the file to be processed in the business terminal 3b and the input character string. . For example, the recommendation server 2 searches for a file to recommend to the employee of the business terminal 3b based on the operation log of the business terminal 3, which is collected for the purpose of avoiding ICT risks.

As a result, the recommendation server 2 sends information about files, including files that employees cannot normally refer to (cannot reach), in other words, files that can be referenced because they are operation logs, to the business terminal 3b. of employees can be recommended.

For example, an employee of the business terminal 3b can arrive at a better document (file) by being presented with the recommendation information 1c in advance or during the creation of the first file that is saved. As a result, employees can learn file creation techniques such as writing ability, logical development, presentation methods, etc. by referring to materials created by other employees in the past, improving employee skills. can be achieved.

Also, the employee can use at least part of the content of the recommended file to create the first file. In other words, the recommendation information 1c helps employees to create files, and can realize work efficiency such as file creation.

Furthermore, according to the business system 1, the recommendation information 1c can be presented to the employee without imposing a burden other than normal processing (for example, saving) on the first file. Therefore, the employee can obtain the recommendation information 1c without being aware of it, and can improve productivity.

As described above, according to the business system 1 according to one embodiment, it is possible to provide a mechanism for effectively utilizing the accumulated file operation logs 1a to recommend diversionable files.

Here, consider a device that recommends files by another mechanism. For example, it is assumed that this device stores a plurality of files to be processed by each of a plurality of business terminals as search files. According to such a configuration, the device searches for a file related to processing by a certain business terminal from a plurality of stored files, and designates a successfully searched file as a diversionable file to the certain business terminal. can be presented to

In the apparatus described above, in addition to the files directly processed by the business terminal (files to be processed), duplicates of a plurality of files to be processed may be stored as search files. In this case, the device secures a storage area with a sufficient storage capacity corresponding to the number and size of files for search. In addition, in this apparatus, every time a file to be processed is updated such as by registration, change, or deletion, the file for retrieval is updated.

In this way, in order to recommend a diversionable file, various system resources such as HW resources (resources), NW resources, and processing resources are used (consumed) in the apparatus described above. The HW resource is, for example, a storage area, the NW resource is, for example, a communication band for data communication in file duplication, and the processing resource is, for example, the processing capacity of a processor that performs file update processing for searching. is.

On the other hand, according to the recommendation server 2 according to one embodiment, since the operation log DB 21 that accumulates the file operation log 1a is diverted to detect the operation corresponding to the policy violation, the recommendation server 2 is compared with the above-described device. , consumption of HW resources and NW resources can be suppressed.

Further, the operation log DB 21 accumulates not files themselves but information about files such as input character strings for files, file names, storage locations, and the like. Therefore, when the file to be processed is updated, the processor of the recommendation server 2 operates the file operation log 1a with a smaller processing load than when the above-described device updates the search file. It can be registered in the log DB 21 . Therefore, consumption of processing resources and the like can be suppressed as compared with the apparatus described above.

As described above, according to the business system 1 according to one embodiment, it is possible to efficiently realize the process of outputting information about a file that can be used.

[1-2] Example of Functional Configuration of Recommendation Server and Business Terminal Next, an example of functional configuration of each of the recommendation server 2 and the business terminal 3 will be described. FIG. 2 is a block diagram showing a functional configuration example of the recommendation server 2 and the business terminal 3 according to one embodiment. Note that FIG. 2 illustrates a case where the business terminal 3 has the functions of both the business terminals 3a and 3b.

[1-2-1] Functional Configuration Example of Recommendation Server As shown in FIG. , a recommendation information creation unit 26 may be provided.

The recommendation information analysis unit 24 and the recommendation information creation unit 26 are examples of the matching unit 22 described with reference to FIG.

The operation log DB 21 and the recommendation history DB 25 may be stored, for example, in storage areas of at least one of the memory 10b and the storage unit 10c (see FIG. 15) included in the recommendation server 2, respectively.

FIG. 3 is a diagram showing an example of the operation log DB 21. As shown in FIG. As shown in FIG. 3, the operation log DB 21 may include items such as date and time, terminal number, user name, operation, and content, for example.

In the "date and time", the date and time when the file was operated on the business terminal 3 is recorded.

"Terminal number" is an example of identification information for identifying the business terminal 3 that performed the file operation. An example of the terminal number is the asset management number of the business terminal 3 . An asset management number is a unique character string used to identify a device in the business system 1. FIG.

The "user name" records the account name of the user, such as an employee, who logs in to the business terminal 3 that has performed the file operation.

At least one of the terminal number and user name is an example of user information. At least one of the terminal number and the user name is an example of the person who last updated the file.

The terminal number and user name may be information managed by a management function for managing employees and business terminals 3 in the business system 1, such as an AD (Active Directory). According to the management function, for example, access rights can be set to storage areas in which files are stored, such as file servers on the network or business terminals 3 . The access right is attribute information indicating permission/prohibition of access to a storage area for each business terminal 3 identified by a terminal number and/or an employee identified by a user name.

"Operation" records the type of operation performed on the file. Examples of operations include processing such as reference, creation, deletion, movement, renaming (change of file name), input, and update.

"Content" records the details of the operation content for the file. The operation content may include the file name of the file to be operated (processed) and the full path of the file. For example, the operation contents may include the details of the operation target and the operation contents, such as the name of the operated file, the source and destination of the movement, the name of the original file and the name of the file after renaming.

As illustrated in FIG. 4, the operation log collection unit 23 receives the file operation log 1a from each of the plurality of business terminals 3, and stores the received file operation log 1a item by item in the operation log DB 21 (see FIG. 3). reference).

The matching unit 22 monitors the contents of the file operation log 1a received from the business terminal 3 in parallel with the update of the file operation log 1a by the operation log collection unit 23 (for example, by a process different from the operation log collection unit 23). do.

For example, when the matching unit 22 detects the reception of the file operation log 1a (in other words, the operation information 1b) for performing the “save” operation of the first file from the business terminal 3, the analysis processing illustrated below is performed. you can do it Note that the matching unit 22 may detect that an entry of the "save" operation for the first file has been added to the operation log DB 21 instead of detecting reception of the operation information 1b.

The matching unit 22 uses at least one of the operation log DB 21 and the recommendation history DB 25 in response to the operation of saving the first file, and performs the following (a) or (b): The analysis processing shown may be performed.

The recommendation history DB 25 is a DB that stores (accumulates) the output history of the recommendation information 1c that the recommendation server 2 has output to the business terminal 3 in the past. It is referenced to do it systematically.

FIG. 5 is a diagram showing an example of the recommendation history DB 25. As shown in FIG. As illustrated in FIG. 5, the recommendation history DB 25 may include items of file name 21a, storage location 21b, and keyword 21c. The file name 21a, storage location 21b, and keyword 21c are examples of the recommendation information 1c, and are information based on the "contents" of the operation log DB 21, respectively. Details of these pieces of information will be described later.

(a) When the recommendation history DB 25 exists.

The recommendation information analysis unit 24, which is an example of the history search unit, searches the recommendation history DB 25 for the recommendation information 1c of one or more files related to the first file based on the operation information 1b.

When recommendation information 1c of one or more files related to the first file exists in the recommendation history DB 25, that is, when the search is successful, the recommendation information analysis unit 24 selects the storage location 21b of the one or more files that are successfully searched. Check the access rights set to .

The recommendation information analysis unit 24 narrows down the recommendation information 1c of the accessible second file using the user information of the employee of the business terminal 3 (3b) that is the transmission source of the operation information 1b.

Then, as illustrated in FIG. 4, the recommendation information analysis unit 24 outputs the narrowed down recommendation information 1c to the business terminal 3b, for example, transmits it via a network (not shown).

(b) When the recommendation history DB 25 does not exist, or when there is no file related to the first file in the recommendation history DB 25 in (a) above (search fails).

The recommendation information analysis unit 24, which is an example of the output unit, instructs the recommendation information creation unit 26 to create recommendation information 1c, and transmits the created recommendation information 1c to the business terminal 3, as illustrated in FIG. Output, e.g., send over a network.

The recommendation information creation unit 26, which is an example of a search unit, searches the operation log DB 21 for one or more files related to the first file based on the operation information 1b.

If one or more files related to the first file exist in the operation log DB 21, that is, if the search is successful, the recommendation information creating unit 26 sets the storage location 21b of the one or more files that have been successfully searched. Check permissions.

The recommendation information creation unit 26, which is an example of the identification unit, identifies the accessible second file using the user information of the employee of the business terminal 3b that is the transmission source of the operation information 1b. Then, the recommendation information creation unit 26 creates recommendation information 1c based on the specified one or more files, and outputs the recommendation information 1c to the recommendation information analysis unit 24 . For example, the recommendation information creation unit 26 extracts the file name 21a, storage location 21b, and keyword 21c from the "contents" of the operation log DB 21, and creates recommendation information 1c.

At this time, the recommendation information creating unit 26 may store the created recommendation information 1c in the recommendation history DB 25 . For example, the recommendation information creation unit 26 may register the file name 21a, the storage location 21b, and the keyword 21c in the recommendation history DB 25 as the history of the recommendation information 1c output to the business terminal 3. FIG.

For the keyword 21c, the recommendation information creation unit 26 extracts one or more words as the keyword 21c by executing natural language processing such as morphological analysis on sentences in the "contents" of the operation log DB 21. You can

As described above, the matching unit 22 performs matching between the operation information 1b transmitted from the business terminal 3b and the recommendation history DB 25 or the operation log DB 21. FIG. Then, the matching unit 22 outputs (transmits), to the business terminal 3b, recommendation information 1c related to files that the business terminal 3b can access, among files that match the operation information 1b in the recommendation history DB 25 or the operation log DB 21 .

(Example of search method for files related to the first file)
In the analysis process (a) or (b) above, the matching unit 22 searches the recommendation history DB 25 or the operation log DB 21 for files related to the first file.

A file related to the first file is, for example, a file including a file name that matches the file name of the first file of the operation information 1b.

A "match" may include either or both of an exact match and a partial match. A partial match may include at least one of a prefix match, a suffix match, and an intermediate match. For example, the matching unit 22 records a file including a file name that completely matches or partially matches the file name of the first file in the file name 21a of the recommendation history DB 25 or "contents" of the operation log DB 21. You can search from the specified file name.

Another example of the file related to the first file is a file that includes, as an input character string, one or more words included in the character string that was input to the first file of the operation information 1b. .

The matching unit 22 may, for example, extract one or more words from a character string (for example, a sentence) input to the first file by morphological analysis or the like. Then, the matching unit 22 may search the keyword 21c of the recommendation history DB 25 or the "contents" of the operation log DB 21 (for example, a character string input to a file) using one or more extracted words as keywords.

For example, the matching unit 22 selects a file in which part or all of the extracted one or more words appear in the input character string at a predetermined frequency, in other words, a file whose degree of relevance to the first file is at least a predetermined degree. may be identified as a successfully retrieved file. The predetermined frequency is an example of an index representing the degree of association with the first file. The predetermined frequency may be defined as, for example, X or more per file, Z or more per Y-character sentence, or the like. Note that X, Y, and Z are each integers of 1 or more.

Alternatively, the matching unit 22 may specify a file in which a predetermined number or more or a predetermined ratio or more of the extracted one or more words appear in the input character string as a successfully searched file.

Further, the matching unit 22 narrows down files related to the first file by both the file name and the keyword based on both the file name of the first file and the character string input to the first file. may be performed. As a result, it is possible to improve the search accuracy for files related to the first file.

(Example of method for determining whether or not access is permitted using user information)
In the analysis process (a) or (b) above, when the matching unit 22 successfully searches for one or more files, the user information of the user who operated the first file is used based on the full path. Accessible files are specified from among the one or more files.

For example, based on at least one of the terminal number and user name of the business terminal 3b, the matching unit 22 provides user information of at least one of the business terminal 3b and the employee (for example, the business terminal 3b or the user (privileges granted to

Then, the matching unit 22 uses the acquired user information for the storage location 21b of the recommendation history DB 25 or the storage location recorded in the "contents" of the operation log DB 21 for one or more files that have been successfully searched. Access permission may be determined.

As an example, if the storage location is the local storage area of the business terminal 3a of employee A, whether or not the business terminal 3b of employee B can access according to the access right of the storage location is determined by the employee set in AD. The determination may be made based on the authority of employee B and the business terminal 3b. The local storage area is, for example, a storage area unique to the business terminal 3a, such as a document folder in the C drive, as shown in the second entry of the operation log DB 21 in FIG.

Even in a storage area shared by multiple users such as a file server, access rights may be set for each user or business terminal 3 for each storage area or folder. Therefore, the matching unit 22 may determine whether or not access is permitted regardless of whether or not the storage location of one or more successfully searched files is the local storage area.

Alternatively, the matching unit 22 may determine access availability by automatically accessing the full path (storage location and file name) using the user information without any operation by the employee.

(Example of recommendation information 1c to be output to business terminal 3)
As described above, the matching unit 22 searches for one or more files from the recommendation history DB 25 or the operation log DB 21, and selects one or more files that can be accessed using user information ( hereinafter referred to as a "second file").

The matching unit 22 may output the recommendation information 1c created based on the identified second file or extracted from the recommendation history DB 25 to the business terminal 3, but is not limited to this. For example, the matching unit 22 may send recommendation information 1c for any one of the following (i) to (iii), or a combination of two or more types, for which the search is successful, to determine whether or not access to these files is possible. may be used as an output target.

(i) A file containing a file name that exactly matches the file name of the first file.
(ii) a file containing a filename that partially matches the filename of the first file;
(iii) A file containing part or all of the character string input to the first file in the input character string.

In addition, the matching unit 22 adds information capable of distinguishing access permission/inhibition determination results to the recommendation information 1c for any one of the above (i) to (iii) or a combination of two or more types. may be added.

For example, even if it is a file that cannot be accessed using the user information of the employee of the business terminal 3b, the employee who saved (for example, created or updated) the file and the employee of the business terminal 3b It is possible to exchange the file between them.

Therefore, by outputting the recommendation information 1c related to the inaccessible file, the employee is notified of the existence and location of the file that can be used to create the first file but cannot be accessed from the business terminal 3b. can do. As a result, it is possible to improve the skills of employees, improve productivity, improve work efficiency, and the like.

Note that the matching unit 22 may limit the condition (ii) for outputting the recommendation information 1c to a case where there are no files satisfying the above (i) or the number is equal to or less than a predetermined number.

In addition, the matching unit 22 sets the conditions for outputting the recommendation information 1c related to the files that cannot be accessed using the user information to be: there are no files that can be accessed using the user information; may be restricted in some cases.

(Regarding condition change requests)
After outputting the recommendation information 1c to the business terminal 3b, as will be described later, the business terminal 3b transmits a condition change request (research request) requesting the recommendation information 1c with changed conditions such as file name and keyword. good too. The condition change request may include, for example, one or both of a file name after condition change and a keyword.

Upon receiving the condition change request from the business terminal 3b, the matching unit 22 creates or extracts the recommendation information 1c corresponding to the condition change request based on one or both of the file name and the keyword included in the condition change request. , may be output to the business terminal 3b. Note that the creation or extraction of the recommendation information 1c based on the condition change request is executed by the same method as the analysis process described above, except that the file name and keyword information are extracted from the condition change request instead of the operation information 1b. may be

[1-2-2] Functional Configuration Example of Business Terminal Next, a functional configuration example of the business terminal 3 will be described with reference to FIG. As shown in FIG. 2, the business terminal 3 may include, for example, a file operation section 31, an operation log acquisition section 32, a recommendation section 33, and a display section .

The file operation unit 31 performs operations (processes) such as reference, creation, deletion, movement, renaming, input, and updating of files. The file operation unit 31 may be implemented as one function of an OS (Operating System) executed by the business terminal 3, or may be implemented as various applications that operate on the OS.

The operation log acquisition unit 32 is an example of an acquisition unit that transmits to the recommendation server 2 a file operation log 1a related to operations performed in its own device. As illustrated in FIG. 4, the operation log acquisition unit 32 collects various information related to operations by the file operation unit 31 in each of the plurality of business terminals 3, creates a file operation log 1a, and sends it to the recommendation server 2. Send. The file operation log 1a may include, for example, operation information 1b relating to at least one operation of creating, moving, renaming, inputting, and updating a file, in other words, a "save" operation.

Note that the operation log acquisition unit 32 may be realized as an application running on the OS, for example, an application as an agent of the recommendation server 2 . The operation log acquisition unit 32 may transmit the file operation log 1a to the recommendation server 2 at a predetermined timing. Examples of the predetermined timing include various timings such as each time an operation is performed on the business terminal 3, every certain period of time, or at the time of a request from the recommendation server 2, for example.

The display unit 34 is a display device such as a monitor provided in the business terminal 3 . The display unit 34 may have an input function in addition to the display (output) function. As an example, the display unit 34 may be an input/output device having an input/output function, such as a touch panel.

The recommendation unit 33 receives data, such as recommendation information 1c, from the matching unit 22 (recommendation information analysis unit 24) of the recommendation server 2, and based on the received recommendation information 1c, the display unit 34 displays A recommendation window 300 is displayed (see FIG. 4). Note that the recommendation unit 33 may be implemented as an application as an agent operating on the OS, for example.

(Display example of recommendation window 300)
A display example of the recommendation window 300 whose display is controlled by the recommendation unit 33 will be described below.

(First display example)
FIG. 6 is a diagram showing an example of the recommendation window 300. As shown in FIG. As illustrated in FIG. 6, the recommendation window 300 may include at least a file name 310, a number 320, a recommended file list area 330, and a close button 340 for closing the recommendation window 300. FIG.

A file name 310 indicates the file name of the first file, which is "product proposal" in the example of FIG. The number 320 indicates the number of recommended files identified as accessible by the matching unit 22, and is "3" in the example of FIG.

In the list area 330, the “document” indicating the file name of the file and the “storage location” of the file included in the recommendation information 1c received from the recommendation server 2 may be displayed in a list format.

"Document" may display the file name of the recommended file associated with the first file.

The “storage location” may display the location where the substance of the recommended file is stored. As illustrated in FIG. 3, in the case of files that can be accessed by employees of the business terminal 3b (recommendation target person), the storage location may be displayed as a link. Accordingly, the person to whom the recommendation is made can display the recommended file on the display unit 34 by selecting (for example, clicking) the link, that is, can open (refer to) the file.

(Second display example)
In FIG. 6, each entry in the list area 330 includes (i) a file specified from the files searched by exact match, and (ii) a file specified from the files searched by partial match , are both displayed. For example, in the list area 330, the file (i) is "product planning document.docx", and the files (ii) are "new product product planning document.pptx" and "2015_next generation product planning document.doc". is displayed.

For example, of the above (i) and (ii), only the files specified from among the files retrieved by the exact match in (i) may be displayed in the list area 330 . It should be noted that the files identified from among the files searched for by partial matching in (ii) above may be displayed together with (i) if the files in (i) do not exist or are less than a predetermined number. good.

(Third display example)
The example of FIG. 6 shows an example in which the second file specified as accessible by the matching unit 22 is displayed in each entry (row) of the list area 330 .

For example, as shown in FIG. 7, in the list area 330, a file that cannot be accessed using the user information of the employee of the business terminal 3b (for example, the entry of "No. 3" in FIG. 7) is displayed. May be displayed with possible files. In this case, the storage location of the inaccessible file does not need to be linked. Instead, the user information of the person who last updated the inaccessible file (“AD\matsu” in the example of FIG. 7). may be written together. Such inaccessible files may be displayed together with accessible files, for example, when there are no accessible files or the number of accessible files is less than a predetermined number.

Further, as illustrated in FIG. 7, when a predetermined number of files (for example, “5”) or more files that can be displayed in the list area 330 are displayed in the list area 330, a scroll bar 331 may be displayed. .

(Fourth display example)
In the recommendation window 300 shown in the first to third display examples, an example in which a "document", that is, a file name item and a "storage location" item are displayed in the list area 330 is shown. It is not limited.

For example, as shown in FIG. 8, in the list area 330, a second file (in the example of FIG. 8, "No. 1 ” and “No. 3”) may be displayed. Also, instead of the "keyword", the "sentence" in the second file containing the keyword of the second file may be displayed.

FIG. 8 shows an example of displaying keyword items in the third display example shown in FIG. may be displayed.

(Fifth display example)
In the recommendation window 300 shown in the first to fourth display examples, as shown in FIG. 9, there are screens for narrowing down the presentation results of the recommendation information 1c in the list area 330 and re-searching by changing the conditions. A region 350 may be displayed.

Although FIG. 9 shows an example of displaying the area 350 in the fourth display example, the area 350 may be displayed in the recommendation window 300 in any one of the first to third display examples.

As illustrated in FIG. 9 , an input field 351 , a refine button 352 , and a condition change button 353 may be displayed in the area 350 .

The input field 351 is an input field for a search character string for narrowing down the recommendations displayed in the list area 330 or changing the conditions to display a re-recommendation in the list area 330 .

The narrow down button 352 is a button for narrowing down the recommendation information 1 c displayed in the list area 330 based on the search character string input in the input field 351 .

When the selection (for example, click) of the narrowing down button 352 is detected, the recommendation unit 33 acquires the search character string input in the input field 351, and uses the search character string as a key to select one of the file name and the keyword of the recommendation information 1c. Or you may search both. Then, the recommendation unit 33 may limit the recommended information 1c to be displayed in the list area 330 to the recommended information 1c that has been successfully retrieved, and display the list area 330 again.

The condition change button 353 is a button for requesting the recommendation server 2 to re-present (re-search) the recommendation information 1c based on the search character string input in the input field 351 .

Upon detecting selection (for example, clicking) of the condition change button 353 , the recommendation unit 33 may acquire the character string entered in the input field 351 and transmit a condition change request including the character string to the recommendation server 2 . . When the recommendation unit 33 detects reception of the recommendation information 1c corresponding to the condition change request from the recommendation server 2, the recommendation unit 33 may update (redisplay) the display of the list area 330 based on the received recommendation information 1c.

The area 350 may be provided with an input field for narrowing down by file name and an input field for narrowing down by a keyword (input character string in the file).

Alternatively, only one of the refine button 352 and the condition change button 353 may be displayed in the area 350 .

As described above, according to the fifth display example, it is possible to narrow down the recommendation information 1c by changing at least one of the file name of the entry displayed in the list area 330 and the search character string of the keyword.

For example, when the number 320 of files to be recommended is large, the recommendation unit 33 can further narrow down the files to be recommended, or re-search by changing the conditions, according to the user's will. Therefore, it is possible to make the file recommendation to the user interactive.

As a result, the first recommendation can be made without the user's awareness, and when the user shows interest in the recommended file, it can be used to create the first file more accurately by narrowing down or re-searching. Can recommend files.

[1-3] Operation Example Next, an operation example of the business system 1 according to the embodiment configured as described above will be described. In the following description, the employee of the business terminal 3 (corresponding to the business terminal 3b in FIG. 1) who processed the first file may be referred to as "file creator".

[1-3-1] Operational Example of Operation Log Transmission Processing FIG. 10 is a flowchart for explaining an operational example of transmission processing of the file operation log 1a by the business terminal 3. FIG. As illustrated in FIG. 10, the operation log acquisition unit 32 of the business terminal 3 waits for the occurrence of a file operation by the file operation unit 31 (step S1, NO in step S1).

When the occurrence of a file operation is detected (YES in step S1), the operation log acquisition unit 32 collects the file operation log 1a including information such as file name, storage location, and keyword (if acquired) (step S2). ).

Then, the operation log acquisition unit 32 transmits the collected file operation log 1a to the recommendation server 2 at a predetermined timing (step S3), and the process proceeds to step S1.

[1-3-2] Operational Example of Operation Log Storing Process FIG. 11 is a flowchart for explaining an operational example of the storage process of the file operation log 1a by the recommendation server 2. FIG. As illustrated in FIG. 11, the operation log collection unit 23 of the recommendation server 2 waits for reception of the file operation log 1a from each of the plurality of business terminals 3 (step S11, NO in step S11).

When the reception of the file operation log 1a is detected (YES in step S11), the operation log collection unit 23 stores the received file operation log 1a in the operation log DB 21 (step S12), and the process proceeds to step S11.

[1-3-3] Operation Example of Recommendation Information Transmission Processing FIG. 12 is a flowchart for explaining an operation example of recommendation information transmission processing by the recommendation server 2 . As illustrated in FIG. 12, the recommendation information analysis unit 24 of the recommendation server 2 waits for reception of the operation information 1b regarding "save" of the file as the file operation log 1a (step S21, NO in step S21).

When the reception of the operation information 1b is detected (YES in step S21), the recommendation information analysis unit 24 determines the presence or absence of data (entry) in the recommendation history DB 25 (step S22).

When it is determined that no data exists in the recommendation history DB 25 (NO in step S22), the recommendation information analysis unit 24 instructs the recommendation information creation unit 26 to create recommendation information 1c.

The recommendation information creating unit 26 extracts the file operation log 1a related to the content of the received operation information 1b from the operation log DB 21 (step S23). For example, the recommendation information creation unit 26 searches the operation log DB 21 based on one or both of the file name of the first file and the keyword included in the operation information 1b, and creates a file operation log 1a related to the first file. to extract

The recommendation information creation unit 26 confirms the access rights set to the storage location of the extracted file (step S24), and creates recommendation information 1c based on the extracted file operation log 1a and the access rights (step S25). . For example, the recommendation information creation unit 26 identifies, from the extracted files, a second file that can be accessed using the file creator's user information for the storage location of the file, and makes a recommendation regarding the identified second file. Create information 1c.

In addition, the recommendation information creation unit 26 stores the created recommendation information 1c in the recommendation history DB 25 (step S26), notifies the recommendation information analysis unit 24 of completion of creation of the recommendation information 1c, and the process proceeds to step S30. .

On the other hand, if it is determined that data exists in the recommendation history DB 25 (YES in step S22), the recommendation information analysis unit 24 extracts recommendation information 1c related to the content of the received operation information 1b from the recommendation history DB 25 (step S27). For example, the recommendation information analysis unit 24 searches the recommendation history DB 25 based on one or both of the file name of the first file included in the operation information 1b and the keyword, and extracts the recommendation information 1c related to the first file. Extract.

The recommendation information analysis unit 24 checks the access rights set in the storage location 21b of the file indicated by the extracted recommendation information 1c (step S28), and narrows down the extracted recommendation information 1c based on the access rights (step S29). For example, the recommendation information analysis unit 24 identifies, from the extracted recommendation information 1c, the recommendation information 1c of a second file that can be accessed using the user information of the file creator with respect to the storage location 21b of the file.

The recommendation information analysis unit 24 transmits the recommendation information 1c extracted in step S29 or generated by the recommendation information generation unit 26 in step S26 to the business terminal 3b to which the operation information 1b is transmitted (step S30). moves to step S21.

[1-3-4] Operation Example of Recommendation Information Display Processing FIG. 13 is a flow chart for explaining an operation example of recommendation information display processing by the business terminal 3 (3b). As illustrated in FIG. 13, the recommendation unit 33 of the business terminal 3 waits for reception of the recommendation information 1c from the recommendation server 2 (step S31, NO in step S31).

When the reception of the recommendation information 1c is detected (YES in step S31), the recommendation unit 33 generates the recommendation window 300 based on the recommendation information 1c (step S32), and outputs the recommendation window 300 to the display unit 34 (step S33). .

The recommendation unit 33 waits for an operation input by the file creator to the recommendation window 300 . For example, the recommendation unit 33 determines whether or not a narrowing down request has occurred (step S34), and if it determines that it has not occurred (NO in step S34), determines whether or not a condition change request has occurred. (Step S36).

When it is determined that a condition change request has not occurred (NO in step S36), the recommendation unit 33 determines whether or not the recommendation window 300 has ended (closed) (step S38). If it is determined that the recommendation window 300 has not ended (NO in step S38), the process proceeds to step S34.

The determinations in steps S34, S36, and S38 may be performed in any order, and two or more determinations may be performed in parallel.

If it is determined that the recommendation window 300 has ended (YES in step S38), the process proceeds to step S31.

While the recommendation window 300 is being displayed, when the file creator (business terminal 3b) inputs into the input field 351 and presses the narrow down button 352 (see FIG. 9), and a narrow down request is generated. assume.

When the recommendation unit 33 detects the occurrence of the request for narrowing down (YES in step S34), the recommendation unit 33 narrows down the recommendation information 1c displayed in the list area 330 based on the search character string input in the input field 351, and updates the recommendation window 300. (step S35). Then, the process moves to step S33.

In addition, while the recommendation window 300 is being displayed, the file creator (business terminal 3b) inputs to the input field 351 and presses the condition change button 353 (see FIG. 9) to issue a condition change request. Suppose that occurs.

When detecting the occurrence of a condition change request (YES in step S36), the recommendation unit 33 transmits a condition change request including the search character string entered in the input field 351 to the recommendation server 2 (step S37). Move to S31. When the recommendation information 1c corresponding to the condition change request is received from the recommendation server 2, the recommendation section 33 generates the recommendation window 300 based on the recommendation information 1c in the same manner as the above-described process.

[1-3-5] Operation Example of Recommendation Information Transmission Processing FIG. 14 is a flow chart for explaining an operation example of recommendation information re-search processing by the recommendation server 2 . As illustrated in FIG. 14, the recommendation information analysis unit 24 of the recommendation server 2 waits for reception of a condition change request for the recommendation information 1c (step S41, NO in step S41).

Upon detecting the reception of the condition change request (YES in step S41), the recommendation information analysis unit 24 determines the presence or absence of data in the recommendation history DB 25 (step S42).

When it is determined that no data exists in the recommendation history DB 25 (NO in step S42), the recommendation information analysis unit 24 instructs the recommendation information creation unit 26 to create recommendation information 1c.

The recommendation information creation unit 26 extracts the file operation log 1a related to the contents of the condition change request from the operation log DB 21 (step S43). For example, the recommendation information creation unit 26 searches the operation log DB 21 based on the search character string included in the condition change request, and extracts the file operation log 1a related to the search character string.

The processing of steps S44 to S46 is the same as the processing of steps S24 to S26 of FIG. 12 except that the file operation log 1a extracted in step S43 is different.

On the other hand, when it is determined that data exists in the recommendation history DB 25 (YES in step S42), the recommendation information analysis unit 24 extracts recommendation information 1c related to the content of the received condition change request from the recommendation history DB 25 (step S47). For example, the recommendation information analysis unit 24 searches the recommendation history DB 25 based on the search string included in the condition change request, and extracts recommendation information 1c related to the search string.

The processes of steps S48 and S49 are the same as the processes of steps S28 and S29 of FIG. 12 except that the recommendation information 1c extracted in step S47 is different.

The recommendation information analysis unit 24 transmits the recommendation information 1c extracted in step S49 or generated by the recommendation information generation unit 26 in step S46 to the business terminal 3b to which the condition change request is transmitted (step S50). moves to step S41. The recommendation information 1c is recommendation information 1c relating to a third file that can be accessed using the user information, specified from one or more files related to the search character string.

[1-4] Hardware Configuration Example FIG. 15 is a block diagram showing an HW configuration example of the computer 10 that implements the functions of the recommendation server 2 . When a plurality of computers are used as HW resources for implementing the functions of the recommendation server 2, each computer may have the HW configuration illustrated in FIG.

As shown in FIG. 15, the computer 10 has, as an example of HW configuration, 10f.

The processor 10a is an example of an arithmetic processing device that performs various controls and operations. The processor 10a may be communicatively connected to each block in the computer 10 via a bus 10i. Note that the processor 10a may be a multiprocessor including a plurality of processors, a multicore processor having a plurality of processor cores, or a configuration having a plurality of multicore processors.

Examples of the processor 10a include integrated circuits (ICs) such as CPUs, MPUs, GPUs, APUs, DSPs, ASICs, and FPGAs. A combination of two or more of these integrated circuits may be used as the processor 10a. CPU is an abbreviation for Central Processing Unit, and MPU is an abbreviation for Micro Processing Unit. GPU is an abbreviation for Graphics Processing Unit, and APU is an abbreviation for Accelerated Processing Unit. DSP is an abbreviation for Digital Signal Processor, ASIC is an abbreviation for Application Specific IC, and FPGA is an abbreviation for Field-Programmable Gate Array.

The memory 10b is an example of HW that stores information such as various data and programs. Examples of the memory 10b include one or both of a volatile memory such as a DRAM (Dynamic RAM) and a nonvolatile memory such as a PM (Persistent Memory).

The storage unit 10c is an example of HW that stores information such as various data and programs. Examples of the storage unit 10c include magnetic disk devices such as HDDs (Hard Disk Drives), semiconductor drive devices such as SSDs (Solid State Drives), and various storage devices such as nonvolatile memories. Examples of nonvolatile memory include flash memory, SCM (Storage Class Memory), ROM (Read Only Memory), and the like.

Further, the storage unit 10c may store a program 10g (file recommendation program) that implements all or part of various functions of the computer 10. FIG. For example, the processor 10a of the recommendation server 2 can implement the function of the recommendation server 2 by loading the program 10g stored in the storage unit 10c into the memory 10b and executing it.

At least one of the memory 10b and the storage unit 10c may store the operation log DB 21 and the recommendation history DB 25 shown in FIG.

The IF unit 10d is an example of a communication IF that controls connection and communication with a network. For example, the IF unit 10d may include an adapter conforming to LAN such as Ethernet (registered trademark) or optical communication such as FC (Fibre Channel). The adapter may support one or both of wireless and wired communication methods. For example, the program 10g may be downloaded from the network to the computer 10 via the communication IF and stored in the storage section 10c.

The I/O section 10e may include one or both of an input device and an output device. Input devices include, for example, a keyboard, a mouse, and a touch panel. Examples of output devices include monitors, projectors, and printers.

The reading unit 10f is an example of a reader that reads data and program information recorded on the recording medium 10h. The reading unit 10f may include a connection terminal or device to which the recording medium 10h can be connected or inserted. Examples of the reading unit 10f include an adapter conforming to USB (Universal Serial Bus), a drive device for accessing a recording disk, and a card reader for accessing flash memory such as an SD card. The recording medium 10h may store the program 10g, or the reading unit 10f may read the program 10g from the recording medium 10h and store it in the storage unit 10c.

Examples of the recording medium 10h include non-temporary computer-readable recording media such as magnetic/optical discs and flash memories. Examples of magnetic/optical discs include flexible discs, CDs (Compact Discs), DVDs (Digital Versatile Discs), Blu-ray discs, and HVDs (Holographic Versatile Discs). Examples of flash memories include semiconductor memories such as USB memories and SD cards.

The HW configuration of the computer 10 described above is an example. Therefore, HW in the computer 10 may be increased or decreased (for example, addition or deletion of arbitrary blocks), division, integration in arbitrary combinations, addition or deletion of buses, or the like may be performed as appropriate. For example, in the recommendation server 2, at least one of the I/O unit 10e and the reading unit 10f may be omitted.

Note that the functions of the business terminal 3, which is an example of an information processing device, may be realized by the HW configuration similar to that of the computer 10 described above. For example, the processor 10a of the business terminal 3 expands the program 10g stored in the storage unit 10c into the memory 10b and executes it, thereby providing the functions of the business terminal 3 shown in FIG. Acquisition unit 32 and recommendation unit 33) can be realized. Also, the display unit 34 of the business terminal 3 shown in FIG. 2 is an example of the I/O unit 10 e of the business terminal 3 .

[2] Others The technique according to the embodiment described above can be modified and changed as follows.

For example, in the recommendation server 2 shown in FIG. 2, the functions of the operation log collection unit 23, the recommendation information analysis unit 24, and the recommendation information creation unit 26 may be merged in any combination, or may be divided. . Also, the recommendation server 2 shown in FIG. 2 may be configured to realize each processing function by a plurality of devices cooperating with each other via a network. Further, in the business terminal 3 illustrated in FIG. 2, the functions of the file operation unit 31, the operation log acquisition unit 32, and the recommendation unit 33 may be combined in an arbitrary combination or divided.

Also, the matching unit 22 stores the recommendation information 1c from past recommendations in the recommendation history DB 25 as a cache, and first refers to the recommendation history DB 25 when making a recommendation. not to be For example, the recommendation server 2 may be configured without the recommendation history DB 25 . In this case, the recommendation information analysis unit 24 does not need to execute processing related to referencing the recommendation history DB 25 (for example, steps S22 and S27 to S29 in FIG. 12 and steps S42 and S47 to 49 in FIG. 14). good too.

[3] Supplementary Note The following Supplementary Note will be disclosed with respect to the above embodiment.

(Appendix 1)
In a file recommendation system having a plurality of information processing terminals and a server,
Each of the information processing terminals
an acquisition unit that transmits to the server an operation log related to operations performed by the device;
a recommendation unit that receives data from the server;
The server is
a storage area for storing operation logs collected from each of the plurality of information processing terminals and including at least file names of files and storage locations of the files;
The operation log based on a file name of a first file to be processed by a first information processing terminal of the plurality of information processing terminals or a character string input to the first file. a search unit that searches for one or more files related to the first file with a search target of
when the one or more files are successfully retrieved, a second file that can be accessed using user information of a user who operated the first file based on the storage location is selected from the one or more files a specific part to be specified from among
an output unit that outputs information about the identified second file to the first information processing terminal;
A file recommendation system characterized by:

(Appendix 2)
A file name of a first file to be processed by an information processing terminal, or at least a file name of a file collected from other information processing terminals based on a character string input to the first file and a storage location of the file as a search target for one or more files related to the first file;
when the one or more files are successfully retrieved, a second file that can be accessed using user information of a user who operated the first file based on the storage location is selected from the one or more files specified from among
outputting information about the identified second file to the information processing terminal;
A file recommendation program that allows a computer to execute processing.

(Appendix 3)
the process of executing the search is executed in response to a save operation of the first file;
The file recommendation program according to appendix 2.

(Appendix 4)
In the outputting process, the full path of the specified second file or the information of the last updater of the second file is output to the information processing terminal;
The file recommendation program according to appendix 2 or appendix 3.

(Appendix 5)
In the specifying process, access to the storage location using the user information is automatically executed without any operation from the user.
The file recommendation program according to any one of Appendices 2-4.

(Appendix 6)
In response to receiving a condition change request including a search string from the information processing terminal, one or more files related to the search string are searched using the operation log as a search target based on the search string. death,
When one or more files related to the search string are successfully retrieved, a third file accessible using the user information based on the storage location is selected from one or more files related to the search string. identified in the file,
outputting information about the identified third file to the information processing terminal as a response to the condition change request;
6. The file recommendation program according to any one of Appendices 2 to 5, which causes the computer to execute processing.

(Appendix 7)
The first file is searched for, based on the file name of the first file or the character string input to the first file, an output history that stores information about a second file that has been output in the past. perform a search for information about one or more files associated with
executing the search for the one or more files related to the first file with the operation log as a search target when the search for information on the one or more files with the output history as a search target fails;
7. The file recommendation program according to any one of Appendices 2 to 6, causing the computer to execute processing.

(Appendix 8)
A file name of a first file to be processed by an information processing terminal, or at least a file name of a file collected from other information processing terminals based on a character string input to the first file and a storage location of the file as a search target for one or more files related to the first file;
when the one or more files are successfully retrieved, a second file that can be accessed using user information of a user who operated the first file based on the storage location is selected from the one or more files specified from among
outputting information about the identified second file to the information processing terminal;
A file recommendation method in which processing is performed by a computer.

(Appendix 9)
the process of executing the search is executed in response to a save operation of the first file;
The file recommendation method according to appendix 8.

(Appendix 10)
In the outputting process, the full path of the specified second file or the information of the last updater of the second file is output to the information processing terminal;
The file recommendation method according to appendix 8 or appendix 9.

(Appendix 11)
In the specifying process, access to the storage location using the user information is automatically executed without any operation from the user.
The file recommendation method according to any one of Appendices 8 to 10.

(Appendix 12)
In response to receiving a condition change request including a search string from the information processing terminal, one or more files related to the search string are searched using the operation log as a search target based on the search string. death,
When one or more files related to the search string are successfully retrieved, a third file accessible using the user information based on the storage location is selected from one or more files related to the search string. identified in the file,
outputting information about the identified third file to the information processing terminal as a response to the condition change request;
12. The file recommendation method according to any one of Appendices 8 to 11, wherein the computer executes the processing.

(Appendix 13)
The first file is searched for, based on the file name of the first file or the character string input to the first file, an output history that stores information about a second file that has been output in the past. perform a search for information about one or more files associated with
executing the search for the one or more files related to the first file with the operation log as a search target when the search for information on the one or more files with the output history as a search target fails;
13. The file recommendation method according to any one of Appendices 8 to 12, wherein the computer executes the processing.

(Appendix 14)
a storage area for storing operation logs collected from each of a plurality of information processing terminals and including at least file names of files and storage locations of the files;
The operation log based on a file name of a first file to be processed by a first information processing terminal of the plurality of information processing terminals or a character string input to the first file. a search unit that searches for one or more files related to the first file with a search target of
when the one or more files are successfully retrieved, a second file that can be accessed using user information of a user who operated the first file based on the storage location is selected from the one or more files a specific part to be specified from among
an output unit that outputs information about the identified second file to the first information processing terminal;
File recommendation device.

(Appendix 15)
The search unit executes the search in response to an operation of saving the first file.
The file recommendation device according to appendix 14.

(Appendix 16)
The output unit outputs the specified full path of the second file or the information of the last updater of the second file to the first information processing terminal;
The file recommendation device according to Supplementary Note 14 or Supplementary Note 15.

(Appendix 17)
The specifying unit automatically accesses the storage location using the user information without any operation from the user.
The file recommendation device according to any one of Appendices 14 to 16.

(Appendix 18)
When a condition change request including a search character string is received from the first information processing terminal, the search unit searches the operation log based on the search character string. Run a search for more files,
When one or more files related to the search character string are successfully searched, the specifying unit assigns a third file accessible using the user information based on the storage location to the search character string. identify one or more related files,
The output unit outputs information about the identified third file to the first information processing terminal as a response to the condition change request.
The file recommendation device according to any one of Appendices 14 to 17.

(Appendix 19)
the storage area stores an output history that stores information about a second file output by the output unit in the past;
Searching for information on one or more files related to the first file with the output history as a search target based on the file name of the first file or a character string input to the first file Equipped with a history search unit that executes
The search unit searches for the one or more files related to the first file with the operation log as a search target when the search for information on the one or more files with the output history as a search target fails. perform a search,
The file recommendation device according to any one of Appendices 14 to 18.

(Appendix 20)
The file recommendation device further includes:
a receiving unit that receives instructions related to operation log analysis processing;
a processing unit that reads an operation log from the storage area in response to the acceptance of the instruction and executes analysis processing according to the instruction;
a transmission unit that transmits the result of the analysis processing to the terminal that is the transmission source of the instruction;
The file recommendation device according to any one of appendices 14 to 19, characterized by having

1 business system 1a file operation log 1b operation information 1c recommendation information 10 computer 2 recommendation server 2a reception unit 2b processing unit 2c transmission unit 21 operation log DB
21a File name 21b Storage location 21c Keyword 22 Matching unit 23 Operation log collection unit 24 Recommendation information analysis unit 25 Recommendation history DB
26 recommendation information creation unit 3, 3a, 3b business terminal 31 file operation unit 32 operation log acquisition unit 33 recommendation unit 34 display unit 4 management terminal

Claims (10)

In a file recommendation system having a plurality of information processing terminals and a server,
Each of the information processing terminals
an acquisition unit that transmits to the server an operation log related to operations performed by the device;
a recommendation unit that receives data from the server;
The server is
a storage area for storing operation logs collected from each of the plurality of information processing terminals and including at least file names of files and storage locations of the files;
The operation log based on a file name of a first file to be processed by a first information processing terminal of the plurality of information processing terminals or a character string input to the first file. a search unit that searches for one or more files related to the first file with a search target of
when the one or more files are successfully retrieved, a second file that can be accessed using user information of a user who operated the first file based on the storage location is selected from the one or more files a specific part to be specified from among
an output unit that outputs information about the identified second file to the first information processing terminal;
A file recommendation system characterized by: A file name of a first file to be processed by an information processing terminal, or at least a file name of a file collected from other information processing terminals based on a character string input to the first file and a storage location of the file as a search target for one or more files related to the first file;
when the one or more files are successfully retrieved, a second file that can be accessed using user information of a user who operated the first file based on the storage location is selected from the one or more files specified from among
outputting information about the identified second file to the information processing terminal;
A file recommendation program that allows a computer to execute processing. the process of executing the search is executed in response to a save operation of the first file;
3. A file recommendation program according to claim 2. In the outputting process, the full path of the specified second file or the information of the last updater of the second file is output to the information processing terminal;
4. A file recommendation program according to claim 2 or 3. In the specifying process, access to the storage location using the user information is automatically executed without any operation from the user.
A file recommendation program according to any one of claims 2 to 4. In response to receiving a condition change request including a search string from the information processing terminal, one or more files related to the search string are searched using the operation log as a search target based on the search string. death,
When one or more files related to the search string are successfully retrieved, a third file accessible using the user information based on the storage location is selected from one or more files related to the search string. identified in the file,
outputting information about the identified third file to the information processing terminal as a response to the condition change request;
6. The file recommendation program according to any one of claims 2 to 5, which causes the computer to execute processing. The first file is searched for, based on the file name of the first file or the character string input to the first file, an output history that stores information about a second file that has been output in the past. perform a search for information about one or more files associated with
executing the search for the one or more files related to the first file with the operation log as a search target when the search for information on the one or more files with the output history as a search target fails;
7. The file recommendation program according to any one of claims 2 to 6, causing said computer to execute processing. A file name of a first file to be processed by an information processing terminal, or at least a file name of a file collected from other information processing terminals based on a character string input to the first file and a storage location of the file as a search target for one or more files related to the first file;
when the one or more files are successfully retrieved, a second file that can be accessed using user information of a user who operated the first file based on the storage location is selected from the one or more files specified from among
outputting information about the identified second file to the information processing terminal;
A file recommendation method in which processing is performed by a computer. a storage area for storing operation logs collected from each of a plurality of information processing terminals and including at least file names of files and storage locations of the files;
The operation log based on a file name of a first file to be processed by a first information processing terminal of the plurality of information processing terminals or a character string input to the first file. a search unit that searches for one or more files related to the first file with a search target of
when the one or more files are successfully retrieved, a second file that can be accessed using user information of a user who operated the first file based on the storage location is selected from the one or more files a specific part to be specified from among
an output unit that outputs information about the identified second file to the first information processing terminal;
File recommendation device. The file recommendation device further includes:
a receiving unit that receives instructions related to operation log analysis processing;
a processing unit that reads an operation log from the storage area in response to the acceptance of the instruction and executes analysis processing according to the instruction;
a transmission unit that transmits the result of the analysis processing to the terminal that is the transmission source of the instruction;
10. The file recommendation device according to claim 9, characterized by comprising:

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