JP2023158433A - Analysis apparatus, information provision system, information processing system, program, and information provision method - Google Patents

Abstract

To specify and present to a user a document necessary for a user with high relevance to a content of a schedule of the user even if there is no similar schedule in a past.SOLUTION: An analysis apparatus includes document acquisition means that acquires document information from a document management system, schedule acquisition means that acquires schedule information for each user from the schedule management system, information analysis means that analyzes a correlation between the document information and the schedule information, and recommend information provision means that provides recommend information on the document information provided to the user based on an analysis result by the information analysis means.SELECTED DRAWING: Figure 7

Description

The present invention relates to an analysis device, an information providing system, an information processing system, a program, and an information providing method.

Patent Document 1 discloses a technology that identifies past schedules (schedule information for each user) that are similar to the selected schedule, and presents documents accessed during the period of the past schedule to the user as utilized documents. .

According to conventional techniques, the document presented to the user must have been accessed in the past. However, even if there is no similar schedule in the past, there is a need to identify the document as a related document and present it to the user.

The present invention has been made in view of the above, and an object of the present invention is to identify and present to the user a document that is highly relevant to the user's schedule and is necessary for the user, even if there is no similar schedule in the past. shall be.

In order to solve the above problems and achieve the objects, the present invention provides a document acquisition means for acquiring document information from a document management system, a schedule acquisition means for acquiring schedule information for each user from a schedule management system, and a schedule acquisition means for acquiring schedule information for each user from a schedule management system. information analysis means for analyzing the correlation between document information and the schedule information; and recommendation information providing means for providing recommendation information regarding the document information to be presented to the user based on the analysis result of the information analysis means; It is characterized by having the following.

According to the present invention, even if there is no similar schedule in the past, it is possible to identify and present to the user a document that is highly relevant to the user's schedule.

FIG. 1 is a system configuration diagram showing an example of an information processing system according to an embodiment. FIG. 2 is a hardware configuration diagram of a PC and a server. FIG. 3 is a hardware configuration diagram of the smartphone. FIG. 4 is a functional block diagram showing the functions included in the analysis device. FIG. 5 is a sequence diagram showing the procedure of recommendation processing. FIG. 6 is a diagram showing an example of a schedule. FIG. 7 is a diagram showing an example of recommendation information. FIG. 8 is a diagram showing an example of document viewing history.

Embodiments of an analysis device, an information providing system, an information processing system, a program, and an information providing method will be described in detail below with reference to the accompanying drawings.

<System configuration example>
FIG. 1 is a system configuration diagram showing an example of an information processing system 100 according to an embodiment. The information processing system 100 includes an information providing system 50 and a user terminal 40. The information providing system 50 includes a document management system 10, a schedule management system 20, and an analysis device 30 that can communicate via a network N. Being able to communicate does not require constant communication; it is sufficient to be able to communicate when necessary. Further, a user terminal 40 is communicably connected to the network N. Note that the document management system 10 and schedule management system 20 may be integrated.

The network N is assumed to be a general network such as the Internet. It may include a LAN within a company or home, or may include a wide area Ethernet (registered trademark) or a WAN consisting of multiple LANs. The network may be partially or entirely wireless. Wireless networks may include mobile phone networks such as 3G, 4G, and 5G in addition to wireless LAN and WiMAX.

The user terminal 40 is a terminal device used by a user such as an employee, and is a general-purpose information processing device having a communication function and a display function. Examples of information processing devices that can serve as the user terminal 40 include a PC (Personal Computer), a tablet terminal, a smartphone, a mobile phone, and a wearable PC such as a watch. In addition, any device having the functions of an information processing device may be used, such as an electronic whiteboard, a video conference terminal, a digital signage terminal, or a car navigation system. It is assumed that there is a plurality of user terminals 40.

The document management system 10, schedule management system 20, and analysis device 30 are so-called server devices and have the functions of an information processing device. A server is a computer that provides files, data, etc. to other computers connected via a network. Sometimes called a Web server, HTTP server, WWW server, etc. However, the document management system 10, schedule management system 20, and analysis device 30 do not need to be dedicated servers, and may be general-purpose information processing devices. The document management system 10, schedule management system 20, and analysis device 30 have the same operator or are related to each other. (two or more information processing devices connected by a dedicated line, the same tenant in the cloud, etc.).

The document management system 10 registers document information, which is document information created by a user, via the user terminal 40, and centrally manages the use, disposal, etc. of the document information. Here, the document refers to materials including documents. Further, document information refers to electronic data of materials. The document information created by the user is not limited to document information, and various information such as spreadsheet information and image information can be applied. The document information includes electronic data such as file formats such as PDF, WORD, EXCEL, and PowerPoint (all are trademarks or registered trademarks), and image file formats.

The schedule management system 20 manages the user's daily schedule. The schedule management system 20 registers and manages schedule information, which is a user's schedule and the date and time of execution of the schedule, through the user terminal 40.

The analysis device 30 analyzes the correlation between the document information managed by the document management system 10 and the schedule information of each user managed by the schedule management system 20. The corresponding document information is provided to the user as a recommendation.

Further, the analysis device 30 stores document information and schedule information of individual users, and also stores operation log information of the users on the analysis device 30.

The analysis device 30 also evaluates the quality of the recommended information based on changes in the user's schedule information managed by the schedule management system 20 and the viewing history (operation log information) of the recommended document information, and based on the evaluation results. to correct the recommendation information.

Note that browser software runs on the user terminal 40. The analysis device 30 transmits various information such as recommendation information to the user terminal 40. The recommendation information is written in HTML, a script language (JavaScript: registered trademark), CSS (Cascade Style Sheet), and the like. Recommendation information may also be referred to as a web page or web application. A Web application refers to software or its mechanism that is used on a browser and is operated by cooperation between a program written in a script language (for example, JavaScript (registered trademark)) running on browser software and a program on the Web server side. Note that, instead of the browser software, application software having equivalent functions may be operated on the user terminal 40.

<Hardware configuration example>
Next, the hardware configurations of the document management system 10, schedule management system 20, analysis device 30, and user terminal 40 in the information processing system 100 of this embodiment will be explained.

The document management system 10, the schedule management system 20, and the analysis device 30 are realized by, for example, a PC (Personal Computer), which is a computer system with the hardware configuration shown in FIG. 2, and a server.

FIG. 2 is a hardware configuration diagram of a PC and a server. Here, the hardware configuration of the server 5 will be explained.

As shown in FIG. 2, the server 5 is constructed by a computer, and includes a CPU (Central Processing Unit) 501, a ROM (Read Only Memory) 502, a RAM (Random Access Memory) 503, HD (Hard Disk) 504, HDD (Hard Disk Drive) controller 505, display 506, external device connection I/F (Interface) 508, network I/F 509, bus line 510, keyboard 511, pointing device 512 , a DVD-RW (Digital Versatile Disc Rewritable) drive 514, and a media I/F 516.

Among these, the CPU 501 controls the operation of the server 5 as a whole. The ROM 502 stores programs used to drive the CPU 501, such as IPL (Initial Program Loader). RAM 503 is used as a work area for CPU 501. The HD 504 stores various data such as programs. The HDD controller 505 controls reading and writing of various data to the HD 504 under the control of the CPU 501. The display 506 displays various information such as a cursor, menu, window, characters, or images. External device connection I/F 508 is an interface for connecting various external devices. The external device in this case is, for example, a USB (Universal Serial Bus) memory, a printer, or the like. The network I/F 509 is an interface for data communication using the network N. The bus line 510 is an address bus, a data bus, etc. for electrically connecting each component such as the CPU 501 shown in FIG. 2.

Further, the keyboard 511 is a type of input means that includes a plurality of keys for inputting characters, numerical values, various instructions, and the like. The pointing device 512 is a type of input means for selecting and executing various instructions, selecting a processing target, moving a cursor, and the like. The DVD-RW drive 514 controls reading and writing of various data on a DVD-RW 513, which is an example of a removable recording medium. Note that it is not limited to DVD-RW, but may be DVD-R or the like. The media I/F 516 controls reading or writing (storage) of data to a recording medium 515 such as a flash memory.

The user terminal 40 is realized, for example, by a smartphone having the hardware configuration shown in FIG. 3.

FIG. 3 is a hardware configuration diagram of the smartphone 4. As shown in FIG. 3, the smartphone 4 includes a CPU 401, a ROM 402, a RAM 403, an EEPROM 404, a CMOS sensor 405, an image sensor I/F 406, an acceleration/direction sensor 407, a media I/F 409, and a GPS receiving section 411. There is.

Among these, the CPU 401 controls the operation of the smartphone 4 as a whole. The ROM 402 stores the CPU 401 and programs used to drive the CPU 401 such as IPL. RAM 403 is used as a work area for CPU 401. The EEPROM 404 reads or writes various data such as smartphone programs under the control of the CPU 401. A CMOS (Complementary Metal Oxide Semiconductor) sensor 405 is a type of built-in imaging means that images a subject (mainly a self-portrait) and obtains image data under the control of the CPU 401. Note that instead of the CMOS sensor, an imaging means such as a CCD (Charge Coupled Device) sensor may be used. The image sensor I/F 406 is a circuit that controls driving of the CMOS sensor 405. The acceleration/direction sensor 407 is a variety of sensors such as an electronic magnetic compass, a gyro compass, and an acceleration sensor that detect geomagnetism. A media I/F 409 controls reading or writing (storage) of data to a recording medium 408 such as a flash memory. GPS receiving section 411 receives GPS signals from GPS satellites.

The smartphone 4 also includes a long-distance communication circuit 412, a CMOS sensor 413, an image sensor I/F 414, a microphone 415, a speaker 416, a sound input/output I/F 417, a display 418, an external device connection I/F (Interface) 419, and a nearby It includes a distance communication circuit 420, an antenna 420a of a short distance communication circuit 420, and a touch panel 421.

Among these, the long distance communication circuit 412 is a circuit that communicates with other devices via the network N. The CMOS sensor 413 is a type of built-in imaging means that images a subject and obtains image data under the control of the CPU 401. The image sensor I/F 414 is a circuit that controls driving of the CMOS sensor 413. Microphone 415 is a built-in circuit that converts sound into electrical signals. The speaker 416 is a built-in circuit that converts electrical signals into physical vibrations to produce sounds such as music and voice. The sound input/output I/F 417 is a circuit that processes input/output of sound signals between the microphone 415 and the speaker 416 under the control of the CPU 401 . The display 418 is a type of display means such as a liquid crystal or organic EL (Electro Luminescence) that displays images of subjects, various icons, and the like. The external device connection I/F 419 is an interface for connecting various external devices. The near field communication circuit 420 is a communication circuit such as NFC (Near Field Communication) or Bluetooth (registered trademark). The touch panel 421 is a type of input means by which the user operates the smartphone 4 by pressing the display 418.

The smartphone 4 also includes a bus line 410. The bus line 410 is an address bus, a data bus, etc. for electrically connecting each component such as the CPU 401 shown in FIG. 3.

<Functions provided by the analysis device 30>
Next, the functions included in the analysis device 30 will be explained. The browser or application (program) installed in the analysis device 30 realizes various functions described below.

FIG. 4 is a functional block diagram showing the functions included in the analysis device 30.

As shown in FIG. 4, the analysis device 30 includes a document acquisition means 301, a schedule acquisition means 302, an information analysis means 303, and a recommendation information provision means 304.

The document acquisition unit 301 acquires document information from the document management system 10.

The schedule acquisition unit 302 acquires schedule information for each user from the schedule management system 20.

Information analysis means 303 analyzes the correlation between document information and schedule information.

Information analysis means 303 analyzes the correlation between character strings included in schedule information and character strings included in document information. Further, the information analysis means 303 analyzes the correlation between the character strings included in the schedule information and the character strings included in the document information, and determines whether the divided character strings match using morphological analysis, Determine the magnitude of correlation based on character strings with a high degree of matching.

The recommendation information providing means 304 provides recommendation information regarding document information suitable for the user to be presented to the user based on the analysis result of the information analysis means 303. The recommendation information may be the document information itself, or may be a file name of the document information, a link or URL of an access destination of the document information, or the like. Further, the recommended information providing means 304 evaluates the quality of the recommended information based on the search or viewing history of document information related to the recommended information. Further, the recommended information providing means 304 evaluates the quality of the recommended information based on changes in the user's schedule information regarding the recommended information.

In addition, the recommended information providing means 304 re-creates the recommended information based on the evaluation result of the quality of the recommended information.

<Recommendation processing procedure>
Next, recommendation processing in the information processing system 100 will be explained.

Here, FIG. 5 is a sequence diagram showing the procedure of recommendation processing. Note that processing in the information processing system 100 (document management system 10, schedule management system 20, analysis device 30) and user terminal 40 is performed by the information processing system 100 (document management system 10, schedule management system 20, analysis device 30) and the user These are executed by applications installed on each terminal 40.

As shown in FIG. 5, the user stores document information created on the user terminal 40 in the document management system 10 as appropriate (step S1).

Further, the user appropriately registers schedule information in the schedule management system 20 via the user terminal 40 (step S2).

The document acquisition means 301 of the analysis device 30 acquires document information from the document management system 10 (step S3) and stores it (step S4).

Furthermore, the schedule acquisition unit 302 of the analysis device 30 acquires schedule information of each user from the schedule management system 20 (step S5) and stores it (step S6).

Thereafter, the information analysis means 303 of the analysis device 30 analyzes the correlation between the document information and the schedule information (step S7).

The information analysis unit 303 of the analysis device 30 performs morphological analysis of the character string of the subject of document information or the subject of schedule information, for example, as an analysis of correlation. The information analysis means 303 of the analysis device 30 determines whether the divided character strings match or not, and determines the magnitude of the correlation based on the character strings with a high degree of matching.

Thereafter, the information analysis means 303 of the analysis device 30 notifies the user that the correlation has been analyzed (step S8).

When the user accesses the analysis device 30 (step S9), the recommendation information providing means 304 of the analysis device 30 recommends document information required by the user in accordance with the schedule information based on the analysis result of the correlation (step S9). S10).

Here, FIG. 6 is a diagram showing an example of a schedule, and FIG. 7 is a diagram showing an example of recommendation information. As shown in FIG. 6, for example, assume that a planning meeting for product A is registered in user A's schedule today (Monday).

In this case, the information analysis means 303 of the analysis device 30 obtains "product A" and "planning meeting" by, for example, morphological analysis, and obtains the "product A" and "planning meeting", and the planning meeting document of product A or the planning meeting document of another product close to product A ( For example, obtain a planning meeting document for product B. As shown in FIG. 7, the recommendation information providing means 304 of the analysis device 30 provides user information such as a planning meeting document for product A or a planning meeting document for another product close to product A (for example, a planning meeting document for product B). The document information to be presented is provided to user A's user terminal 40 as recommendation information. User A's user terminal 40 receives and displays the recommendation information provided by the recommendation information providing means 304 of the analysis device 30.

In the example of recommended information shown in FIG. 7, an icon for recommended information for today (Monday), an icon for recommended information for tomorrow (Tuesday), and an icon for this week's recommended information are displayed. For example, since a design meeting for product B is registered tomorrow (Tuesday), the design document for product B is provided as recommendation information.

Next, the user searches for and views document information within the analysis device 30 (steps S11 and S12). In particular, when there is insufficient recommended information, a search by the user occurs. Therefore, when the user searches for or views document information, the recommendation information providing means 304 of the analysis device 30 stores the user's document viewing history in the operation log. (Step S13).

Here, FIG. 8 is a diagram showing an example of document viewing history. As shown in FIG. 8, the document viewing history stores the date and time of access to document information, the accessed document information, and the accessed user in association with each other. In particular, by having the access date and time, the relationship with schedule information can be known.

The recommendation information providing means 304 of the analysis device 30 analyzes the information again using the saved operation log, evaluates the quality of the recommendation information, and re-creates (modifies) the recommendation information (step S14).

The recommendation information providing means 304 of the analysis device 30 determines which document is required based on the schedule information, based on the combination of the saved operation log and the accessed user's schedule information, such as that this schedule information requires this document information. Identify information.

For example, assume that the recommendation information providing means 304 of the analysis device 30 recommends "A product planning document" to employees A and B. Based on the operation log shown in Figure 8, in the schedule information around January 12th, employee A is viewing "A product planning document," which is necessary, but employee B is viewing "A product planning document." ” is not viewed, so it can be seen that it is unnecessary.

As described above, if there is no viewing operation for the recommended document information, the recommendation information providing means 304 of the analysis device 30 determines that this document information is unnecessary for this schedule, and determines that the recommended information is appropriate. Assuming that it was not, the effectiveness of the recommended information is verified and the recommended information is corrected.

Further, the recommendation information providing means 304 of the analysis device 30 updates the recommendation information based on the evaluation and re-creation (correction) of the recommendation information, and makes a recommendation to the user (step S15).

As described above, according to the present embodiment, even if there is no similar schedule in the past, it is possible to identify and present to the user a document that is highly relevant to the user's schedule and is necessary for the user. .

Further, according to the present embodiment, the document management system 10 and the schedule management system 20 are linked, and by recommending documents that are personalized to the user and suitable for the user, document information necessary for the user is immediately available. You can refer to it and save time searching for documents.

Further, according to the present embodiment, after recommending document information, it is possible to modify the recommended information based on the user's document viewing history.

The program executed by the analysis device 30 of this embodiment is an installable or executable file that can be stored on a CD-ROM, flexible disk (FD), CD-R, DVD (Digital Versatile Disc), etc. Provided recorded on a computer-readable recording medium.

Further, the program executed by the analysis device 30 of this embodiment may be stored on a computer connected to a network such as the Internet, and may be provided by being downloaded via the network. Further, the program executed by the analysis device 30 of this embodiment may be provided or distributed via a network such as the Internet.

Further, the program to be executed by the analysis device 30 of this embodiment may be provided by being incorporated in a ROM or the like in advance.

The program executed by the analysis device 30 of this embodiment has a module configuration including the above-mentioned parts (document acquisition means 301, schedule acquisition means 302, information analysis means 303, recommendation information provision means 304), and is actually As for the hardware, when the CPU (processor) reads out and executes the program from the storage medium, the above-mentioned parts are loaded onto the main storage device, and include a document acquisition means 301, a schedule acquisition means 302, an information analysis means 303, and recommendation information. The providing means 304 is generated on the main storage device.

Further, each function of the embodiment described above (document acquisition means 301, schedule acquisition means 302, information analysis means 303, recommendation information provision means 304) can be realized by one or more processing circuits. Here, the term "processing circuit" as used herein refers to a processor programmed to execute each function by software, such as a processor implemented by an electronic circuit, or a processor designed to execute each function explained above. It includes devices such as ASIC (Application Specific Integrated Circuit), DSP (Digital Signal Processor), FPGA (Field Programmable Gate Array), and conventional circuit modules.

The devices described in the examples are merely indicative of one of several computing environments for implementing the embodiments disclosed herein. In some embodiments, analysis apparatus 30 includes multiple computing devices, such as a server cluster. The plurality of computing devices are configured to communicate with each other via any type of communication link, including a network, shared memory, etc., to perform the processes disclosed herein. Similarly, user terminal 40 may include multiple computing devices configured to communicate with each other. Similarly, the functions of a given unit may be performed by the user terminal 40. Moreover, each element of the analysis device 30 and the user terminal 40 may be combined into one server device, or may be divided into multiple devices.

Note that the analysis device 30 may be a device with a communication function, such as a PJ (Projector), an IWB (Interactive White Board: a whiteboard with an electronic blackboard function that allows mutual communication), a digital signage, etc. output devices, HUD (Head Up Display) devices, industrial machinery, imaging devices, sound collection devices, medical equipment, network appliances, connected cars, personal computers, mobile phones, smartphones, tablet terminals, games The computer may be a computer, a PDA (Personal Digital Assistant), a digital camera, a wearable PC, a desktop PC, or the like.

The correspondence table (table) in the specification may be generated by the learning effect of machine learning. Furthermore, by using machine learning to classify keywords and account items that may be included in transaction descriptions, there is no need to use a correspondence table. Here, machine learning is a technology that allows computers to acquire human-like learning abilities, and computers autonomously generate algorithms necessary for decisions such as data identification from learning data that has been captured in advance. It refers to a technology that applies this to new data to make predictions. The learning method for machine learning may be supervised learning, unsupervised learning, semi-supervised learning, reinforcement learning, or deep learning, or it may be a learning method that combines these learning methods. It doesn't matter what learning method you use.

10 document management system 20 schedule management system 30 analysis device 50 information provision system 100 information processing system 301 document acquisition means 302 schedule acquisition means 303 information analysis means 304 recommendation information provision means

Japanese Patent Application Publication No. 2007-272465

Claims (11)

a document acquisition means for acquiring document information from a document management system;
a schedule acquisition means for acquiring schedule information for each user from a schedule management system;
information analysis means for analyzing the correlation between the document information and the schedule information;
Recommendation information providing means for providing recommendation information regarding the document information to be presented to the user based on the analysis result of the information analysis means;
An analysis device comprising: The recommended information providing means evaluates the quality of the recommended information based on the search or viewing history of the document information related to the recommended information.
The analysis device according to claim 1, characterized in that: The recommendation information providing means re-creates the recommendation information based on the evaluation result of the quality of the recommendation information.
The analysis device according to claim 2, characterized in that: The recommendation information providing means evaluates the quality of the recommendation information based on changes in the schedule information of the user related to the recommendation information.
The analysis device according to claim 1, characterized in that: The recommendation information providing means re-creates the recommendation information based on the evaluation result of the quality of the recommendation information.
The analysis device according to claim 4, characterized in that: The information analysis means analyzes a correlation between a character string included in the schedule information and a character string included in the document information.
The analysis device according to claim 1, characterized in that: The information analysis means analyzes the correlation between the character strings included in the schedule information and the character strings included in the document information, and determines whether the divided character strings match using morphological analysis; Determine the magnitude of correlation based on character strings with a high degree of matching.
The analysis device according to claim 6, characterized in that: A document management system that manages document information;
A schedule management system that manages schedule information for each user,
Document acquisition means for acquiring document information from the document management system, schedule acquisition means for acquiring schedule information for each user from the schedule management system, and information for analyzing the correlation between the document information and the schedule information. an analysis device comprising an analysis means and a recommendation information providing means for providing recommendation information regarding the document information to be presented to the user based on the analysis result of the information analysis means;
An information provision system characterized by comprising: A document acquisition means for acquiring document information from a document management system, a schedule acquisition means for acquiring schedule information for each user from a schedule management system, and an information analysis means for analyzing a correlation between the document information and the schedule information. and a recommendation information providing means for providing recommendation information regarding the document information to be presented to the user based on the analysis result of the information analysis means;
a terminal device that receives and displays recommended information provided by the recommended information providing means;
An information processing system comprising: computer,
a document acquisition means for acquiring document information from a document management system;
a schedule acquisition means for acquiring schedule information for each user from a schedule management system;
information analysis means for analyzing the correlation between the document information and the schedule information;
Recommendation information providing means for providing recommendation information regarding the document information to be presented to the user based on the analysis result of the information analysis means;
A program to function as a document acquisition step of acquiring document information from a document management system;
a schedule acquisition step of acquiring schedule information for each user from a schedule management system;
an information analysis step of analyzing the correlation between the document information and the schedule information;
a recommendation information providing step of providing recommendation information regarding the document information to be presented to the user based on the analysis result of the information analysis step;
An information provision method characterized by including.

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