JP5644558B2 - Document relevance calculation device - Google Patents

Description

  The present invention relates to a document relevance calculation device that calculates a relevance level that represents the depth of association between a search character string and a document file.

  There is known a document relevance calculation device that calculates a relevance representing the depth of relevance between a search character string input by a user and a character string included in a document represented by a document file (for example, Patent Document 1). See). This document relevance calculation device outputs document file identification information (for example, URI (Uniform Resource Identifier)) for identifying a document file, in the order of the relationship depths represented by the calculated relevance.

JP 2010-61322 A

  Incidentally, a plurality of document files stored in the same directory are often relatively deeply related to each other. Therefore, a document file stored in a directory in which more document files that are relatively deeply related to the search character string are stored is more likely to be a document file including information important to the user.

  However, the document relevance calculation device cannot calculate the relevance that reflects the depth of relevance between the search character string and the directory. In other words, the document relevance calculation device has a problem in that it cannot calculate a relevance representing the depth of relevance between the search character string and the document file with high accuracy.

  For this reason, the object of the present invention is to solve the above-mentioned problem that “the degree of association representing the depth of association between the search character string and the document file cannot be calculated with high accuracy”. An object of the present invention is to provide a document relevance degree calculating apparatus capable of

In order to achieve such an object, a document relevance calculation apparatus according to one aspect of the present invention provides:
A search character string receiving means for receiving a search character string;
For each of a plurality of document files, each stored in one of a plurality of directories and representing a document, the relationship between the received search character string and the character string included in the document represented by the document file Based on the in-document character string relevance level indicating the depth and the directory relevance level indicating the relationship depth between the search character string and the directory in which the document file is stored, the search character string and the document A document file relevance calculating means for calculating a document file relevance representing the depth of relevance to the file;
Is provided.

In addition, a document relevance calculation method according to another aspect of the present invention includes:
Accept search strings,
For each of a plurality of document files, each stored in one of a plurality of directories and representing a document, the relationship between the received search character string and the character string included in the document represented by the document file Based on the in-document character string relevance level indicating the depth and the directory relevance level indicating the relationship depth between the search character string and the directory in which the document file is stored, the search character string and the document This is a method of calculating a document file relevance degree that represents the depth of association with a file.

Further, a document relevance calculation program according to another embodiment of the present invention is provided.
In the information processing device,
Accept search strings,
For each of a plurality of document files, each stored in one of a plurality of directories and representing a document, the relationship between the received search character string and the character string included in the document represented by the document file Based on the in-document character string relevance level indicating the depth and the directory relevance level indicating the relationship depth between the search character string and the directory in which the document file is stored, the search character string and the document It is a program for executing a process for calculating a document file relevance level representing the depth of association with a file.

  According to the present invention configured as described above, it is possible to calculate a document file relevance degree that represents the depth of association between a search character string and a document file with high accuracy.

1 is a diagram illustrating a schematic configuration of a document search system according to a first embodiment of the present invention. It is a block diagram showing the outline of the function of the document search system which concerns on 1st Embodiment of this invention. It is the flowchart which showed the program which the document search server apparatus concerning 1st Embodiment of this invention performs. It is explanatory drawing which showed notionally the document file which the document file server apparatus which concerns on 1st Embodiment of this invention memorize | stores. It is the table which showed the character string relevance degree in a document and the document file relevance degree which the document search server apparatus which concerns on 1st Embodiment of this invention calculates. It is the table which showed the character string relevance degree in a document, and the document file relevance degree which the document search server apparatus concerning 2nd Embodiment of this invention calculates. It is a block diagram showing the outline of the function of the document related degree calculation apparatus which concerns on 3rd Embodiment of this invention.

  Embodiments of a document relevance calculation device, a document relevance calculation method, and a document relevance calculation program according to the present invention will be described below with reference to FIGS.

<First Embodiment>
(Constitution)
As shown in FIG. 1, the document search system 1 according to the first embodiment includes a client device 10, a document file server device 20, and a document search server device (document relevance calculation device) 30. The document search system 1 may include a plurality of document file server devices 20. The client device 10, the document file server device 20, and the document search server device 30 are communicably connected to each other via a communication line (in this example, a communication line constituting an IP (Internet Protocol) network) NW. Yes.

  The client device 10 is an information processing device (in this example, a personal computer). The client device 10 may be a mobile phone terminal, a PHS (Personal Handyphone System), a PDA (Personal Data Assistance, a Personal Digital Assistant), a smartphone, a car navigation terminal, or a game terminal.

  The client device 10 includes a central processing unit (CPU; Central Processing Unit) (not shown), a storage device (memory and hard disk drive (HDD)), an input device (in this example, a keyboard and a mouse), and And an output device (in this example, a display). The client device 10 is configured to realize functions to be described later when the CPU executes a program stored in the storage device.

  Each of the document file server device 20 and the document search server device 30 is an information processing device. Each of the document file server device 20 and the document search server device 30 includes a CPU and a storage device (not shown), similar to the client device 10. Each of the document file server device 20 and the document search server device 30 is configured to implement the functions described later when the CPU executes a program stored in the storage device, like the client device 10. ing.

  The document file server device 20 stores a plurality of document files. Each document file is information representing a document including a character string. Each document file is stored in one of a plurality of directories in the file system.

(function)
FIG. 2 is a block diagram showing functions of the document search system 1 configured as described above.
The functions of the client device 10 include a search character string transmission unit 11 and a search result output unit 12.
The search character string transmission unit 11 accepts a search character string input by the user via the input device. The search character string transmission unit 11 transmits the accepted search character string to the document search server device 30.

  The search result output unit 12 receives a search result (information representing) from the document search server device 30. The search result output unit 12 outputs the received search result via an output device (in this example, the search result output unit 12 displays the search result).

  The functions of the document search server device 30 include a search character string receiving unit (search character string receiving unit) 31, a document file relevance calculating unit (document file relevance calculating unit) 32, and a search result transmitting unit 33. .

  The search character string receiving unit 31 receives (accepts) the search character string transmitted by the client device 10.

  The document file relevance calculation unit 32 includes an in-document character string relevance calculation processing unit 32a, a directory structure information acquisition unit 32b, a directory relevance calculation processing unit 32c, and a document file relevance calculation processing unit 32d. .

  The in-document character string relevance calculation processing unit 32 a calculates the in-document character string relevance for each of all document files stored in the document file server device 20. The in-document character string relevance level represents the depth of association between the search character string received by the search character string receiving unit 31 and the character string included in the document represented by the document file.

In this example, the in-document character string relevance calculation processing unit 32a calculates the in-document character string relevance according to tf-idf (Term Frequency-Inverse Document Frequency). The in-document character string relevance calculation processing unit 32a determines the in-document character string relevance according to another algorithm (for example, based on the frequency at which the search character string appears in the document and / or the structure of the document). It may be calculated.
In this example, the in-document character string relevance has a value that increases as the relationship between the search character string and the character string included in the document represented by the document file increases.

  Further, the in-document character string relevance calculation processing unit 32a extracts a document file in which the related depth represented by the calculated in-document character string relevance is greater than a preset threshold depth. In this example, the in-document character string relevance calculation processing unit 32a extracts a document file in which the calculated in-document character string relevance is greater than a preset threshold (for example, 0).

  The directory structure information acquisition unit 32b acquires directory structure information for each of the document files extracted by the in-document character string relevance calculation processing unit 32a. The directory structure information includes information for associating the document file with all the document files stored in the directory in which the document file is stored.

The directory association degree calculation processing unit 32c calculates the directory association degree for each of the directories in which the document files extracted by the in-document character string association degree calculation processing unit 32a are stored. The directory relevance level represents the depth of association between the search character string received by the search character string receiving unit 31 and the directory.
In this example, the directory association level has a value that increases as the relationship between the search character string and the directory increases.

  The directory relevance calculation processing unit 32c is configured based on the directory structure information acquired by the directory structure information acquisition unit 32b and the in-document character string relevance calculated by the in-document character string relevance calculation processing unit 32a. Calculate relevance.

Specifically, the directory relevance calculation processing unit 32c calculates the average value of the character string relevance in a document calculated for all document files stored in a certain directory as the directory relevance for the directory. . That is, the directory relevance calculation processing unit 32c calculates the directory relevance D _i for the i-th directory based on Equation 1. Here, m is the number of document files stored in the directory. S _ij is the in-document character string relevance calculated for the j-th document file stored in the directory.

  As described above, the directory relevance calculation processing unit 32c performs the processing based on the in-document character string relevance calculated for each of all the document files stored in the directory in which the document file is stored. It can be said that the degree of directory relevance for a directory is calculated.

  The document file relevance calculation processing unit 32d, for each document file extracted by the in-document character string relevance calculation processing unit 32a, and the directory relevance calculated by the directory relevance calculation processing unit 32c, The document file relevance is calculated based on the in-document character string relevance calculated by the character string relevance calculation processing unit 32a.

  The document file association degree represents the depth of association between the search character string received by the search character string receiving unit 31 and the document file. In this example, the document file relevance level has a value that increases as the relationship between the search character string and the document file increases.

Specifically, the document file relevance calculation processing unit 32d calculates the intra-document character string relevance calculated for the document file and the directory relevance calculated for the directory in which the document file is stored. , The document file relevance level is calculated. That is, the document file relevance calculation processing unit 32d calculates the document file relevance R _ij for the j th document file stored in the i th directory, based on Equation 2.

Here, S _H is a document in the string relevance calculating unit 32a may calculate, document in the string relevance maximum value (in this example, 100) is.

  The document file relevance calculation unit 32 generates a search result based on the document file relevance calculated by the document file relevance calculation processing unit 32d. The search result includes information in which the document file identification information is arranged in the order of the relation depth represented by the document file relation degree. The document file identification information is information for identifying a document file. In this example, the document file identification information is a URI (Uniform Resource Identifier).

  The document file relevance calculation unit 32 extracts document files from a plurality of document files based on the document file relevance calculated by the document file relevance calculation processing unit 32d, and identifies the extracted document files. It may be configured to generate a search result including document file identification information for the purpose. In this case, for example, it is preferable that the document file relevance calculating unit 32 preferentially extracts a document file having a higher document file relevance. Further, the document file relevance calculation unit 32 may be configured to extract document files by a preset number of extractions.

  The search result transmission unit 33 transmits the search result generated by the document file relevance calculation unit 32 to the client device 10.

(Operation)
Next, the operation of the document search system 1 described above will be described.
First, the client device 10 receives a search character string input by the user via the input device. Then, the client device 10 transmits the accepted search character string to the document search server device 30.

On the other hand, the document search server device 30 is configured to execute the program shown in the flowchart in FIG.
Specifically, when the processing of the program is started, the document search server device 30 waits until a search character string is received (step S101).

  Upon receiving the search character string, the document search server device 30 proceeds to step S102 and calculates the in-document character string relevance level for each of all document files stored in the document file server device 20. To do.

  Assume that the document file server device 20 stores document files # 1 to # 6 as shown in FIG. Furthermore, it is assumed that the directory # 1 stores the document files # 1 to # 3 and the directory # 2 stores the document files # 4 to # 6.

In addition, the document search server 30 calculates a 0 as a document in a string relevance S ₁₁ to the document file # 1, and calculates the document in a string relevance S ₁₂ as 80 for the document file # 2, the document file # assume a case of calculating the document in a string relevance S ₁₃ as 78 for 3.

Further, the document search server device 30 calculates 80 as the in-document character string relevance S ₂₁ for the document file # 4, calculates 74 as the in-document character string relevance S ₂₂ for the document file # 5, and then calculates the document file #. It is assumed that 82 is calculated as the in-document character string relevance degree S ₂₃ for 6.

  Next, the document search server device 30 extracts a document file in which the calculated in-document character string relevance degree is greater than a preset threshold value (0 in this example) (step S103). According to the above assumption, the document search server device 30 extracts the document files # 2 to # 6. Then, the document search server device 30 acquires directory structure information for each of the extracted document files (step S104).

  Next, the document search server device 30 performs directory search for each of the directories in which the extracted document files are stored based on the acquired directory structure information and the calculated in-document character string relevance. The relevance is calculated (step S105).

According to the above assumption, the document search server device 30 calculates 52.7 (= (80 + 78) / 3) as the directory relevance D ₁ for the directory # 1. Similarly, the document search server device 30 calculates 78.7 (= (80 + 74 + 82) / 3) as the directory relevance D ₂ for the directory # 2.

  Then, the document search server device 30 calculates the document file relevance for each of the extracted document files based on the calculated directory relevance and the calculated in-document character string relevance ( Step S106).

  According to the above assumption, the document search server device 30 calculates 57.74 (= 80 (log (52.7 / 100) +1)) as the document file relevance level for the document file # 2. Similarly, the document search server device 30 calculates 56.30 (= 78 (log (52.7 / 100) +1)) as the document file relevance level for the document file # 3.

  Further, the document search server device 30 calculates 71.68 (= 80 (log (78.7 / 100) +1)) as the document file relevance level for the document file # 4. Similarly, the document search server device 30 calculates 66.30 (= 74 (log (78.7 / 100) +1)) as the document file relevance level for the document file # 5. Further, the document search server device 30 calculates 73.47 (= 82 (log (78.7 / 100) +1)) as the document file relevance level for the document file # 6.

  As shown in FIG. 5, the document file relevance calculated for each of the two document files (document file # 2 and document file # 4) having the same character string relevance in the document is They have different values.

  Next, the document search server device 30 generates a search result based on the calculated document file relevance (step S107). Then, the document search server device 30 transmits the generated search result to the client device 10 (step S108). Thereafter, the document search server device 30 returns to step S101, and repeatedly executes the processing of steps S101 to S108.

  Thereby, the client device 10 receives the search result transmitted by the document search server device 30. The client device 10 outputs the received search result via the output device.

  As described above, according to the document search server device 30 according to the first embodiment of the present invention, the relevance (document file relevance) that represents the depth of the relevance between the search character string and the document file with high accuracy. ) Can be calculated. As a result, the user can easily and quickly specify a document file including information important to the user.

  In addition, the document search server device 30 according to the first embodiment of the present invention extracts a document file in which the relation depth represented by the in-document character string relevance degree is deeper than a preset threshold depth, and extracts the document file. A directory relevance level and a document file relevance level are calculated for each document file.

  According to this, the processing load of the document search server device 30 can be reduced compared with the case of calculating the directory relevance and the document file relevance regardless of the calculated character string relevance in the document. it can.

Second Embodiment
Next, a document search system according to the second embodiment of the present invention will be described. The document search system according to the second embodiment differs from the document search system according to the first embodiment in that the degree of directory relevance is calculated based on the directory name. Accordingly, the following description will focus on such differences.

(function)
The directory association degree calculation processing unit 32c according to the second embodiment calculates the directory association degree based on the directory name association degree. The directory name relevance indicates the depth of association between the search character string and the directory name.

  In this example, when the directory name includes a search character string, the directory relevance calculation processing unit 32c sets the directory name relevance N to a preset first value (100 in this example), When the directory name does not include the search character string, the directory name relevance N is set to a second value (0 in this example) that is smaller than the first value. That is, in this example, the directory name relevance has a value that increases as the relationship between the search character string and the directory name increases.

The directory relevance calculation processing unit 32c adds a value obtained by adding the directory name relevance N to the sum of the in-document character string relevance calculated for all document files stored in a certain directory. A value obtained by dividing the number m of stored document files by 1 is calculated as the degree of directory relevance for the directory. That is, the directory relevance calculation processing unit 32c calculates the directory relevance D _i for the i-th directory based on Equation 3.

  In this way, it can be said that the directory relevance calculation processing unit 32c calculates the directory relevance that represents the depth of the relationship that becomes deeper as the depth of the relationship represented by the directory name relevance increases.

(Operation)
Next, the operation of the document search system 1 described above will be described. Similar to the first embodiment, as shown in FIG. 4, the document file server device 20 stores the document files # 1 to # 6, and the document search server device 30 stores the document files # 1 to # 6. Assuming that the in-document character string relevance is calculated.

  Further, it is assumed that the name of directory # 1 includes a search character string and the name of directory # 2 does not include a search character string.

According to the above assumption, the document search server device 30 calculates 64.5 (= (80 + 78 + 100) / 4) as the directory relevance D ₁ for the directory # 1. Similarly, the document retrieval server device 30, as the directory relevance _{D 2} to the directory # 2, calculates the 59.0 (= (80 + 74 + 82) / 4) (step S105).

  Then, the document search server device 30 calculates the document file relevance for each of the extracted document files based on the calculated directory relevance and the calculated in-document character string relevance ( Step S106).

  According to the above assumption, the document search server device 30 calculates 64.76 (= 80 (log (64.5 / 100) +1)) as the document file relevance level for the document file # 2. Similarly, the document search server device 30 calculates 63.15 (= 78 (log (64.5 / 100) +1)) as the document file relevance level for the document file # 3.

  Further, the document search server device 30 calculates 61.67 (= 80 (log (59.0 / 100) +1)) as the document file relevance level for the document file # 4. Similarly, the document search server device 30 calculates 57.04 (= 74 (log (59.0 / 100) +1)) as the document file relevance level for the document file # 5. Further, the document search server device 30 calculates 63.21 (= 82 (log (59.0 / 100) +1)) as the document file relevance level for the document file # 6.

  As shown in FIG. 6, the document file relevance calculated for each of the two document files (document file # 2 and document file # 4) having the same character string relevance in the document is They have different values.

  By the way, the directory name is often set to a name that is relatively deeply related to the document file stored in the directory. Therefore, according to the document search server device 30 according to the second embodiment, in addition to the same effect as the effect obtained by the document search server device 30 according to the first embodiment, the depth of association between the search character string and the directory. It is possible to calculate a relevance level (directory relevance level) that expresses with high accuracy.

  The document search server device 30 calculates a similarity indicating the degree of similarity between the search character string and the directory name based on a dictionary stored in advance or according to a predetermined algorithm, and the calculated similarity. The degree may be configured to be used as the directory name relevance degree.

<Third Embodiment>
Next, a document relevance calculation apparatus according to a third embodiment of the present invention will be described with reference to FIG.
The document relevance calculation apparatus 100 according to the third embodiment
A search character string receiving unit (search character string receiving means) 101 for receiving a search character string;
For each of a plurality of document files, each stored in one of a plurality of directories and representing a document, the relationship between the received search character string and the character string included in the document represented by the document file Based on the in-document character string relevance level indicating the depth and the directory relevance level indicating the relationship depth between the search character string and the directory in which the document file is stored, the search character string and the document A document file relevance calculating unit (document file relevance calculating means) 102 for calculating a document file relevance representing the depth of relevance to a file;
Is provided.

  According to this, it is possible to calculate the relevance (document file relevance) that represents the depth of the relevance between the search character string and the document file with high accuracy. As a result, for example, the user can easily and quickly specify a document file including information important to the user.

  Although the present invention has been described with reference to the above embodiment, the present invention is not limited to the above-described embodiment. Various changes that can be understood by those skilled in the art can be made to the configuration and details of the present invention within the scope of the present invention.

  In each of the above embodiments, each function of the document relevance calculation device is realized by the CPU executing a program (software), but may be realized by hardware such as a circuit.

  In each of the above embodiments, the program is stored in the storage device, but may be stored in a computer-readable recording medium. For example, the recording medium is a portable medium such as a flexible disk, an optical disk, a magneto-optical disk, and a semiconductor memory.

  Further, any other combination of the above-described embodiment and modification examples may be adopted as another modification example of the above-described embodiment.

<Appendix>
A part or all of the above embodiment can be described as the following supplementary notes, but is not limited thereto.

(Appendix 1)
A search character string receiving means for receiving a search character string;
For each of a plurality of document files, each stored in one of a plurality of directories and representing a document, the relationship between the accepted search character string and the character string included in the document represented by the document file Based on the in-document character string relevance level indicating the depth and the directory relevance level indicating the relationship depth between the search character string and the directory in which the document file is stored, the search character string and the document A document file relevance calculating means for calculating a document file relevance representing the depth of relevance to the file;
A document relevance calculation device.

  According to this, it is possible to calculate the relevance (document file relevance) that represents the depth of the relevance between the search character string and the document file with high accuracy. As a result, for example, the user can easily and quickly specify a document file including information important to the user.

(Appendix 2)
The document relevance calculation device according to attachment 1, wherein
The document file relevance calculating means calculates the document character string relevance for each of all document files stored in a directory in which the document file for which the document file relevance is calculated is stored. A document relevance calculating device configured to calculate the directory relevance for the directory based on the calculated in-document character string relevance.

(Appendix 3)
A document relevance calculation device according to attachment 1 or attachment 2,
The document file relevance calculating means is deeper as a relationship depth represented by the character string relevance in the document with respect to a document file for which the document file relevance is calculated, and the document file is stored. A document relevance calculating device configured to calculate the document file relevance representing the depth of association, the deeper the relevance represented by the directory relevance with respect to a given directory.

(Appendix 4)
The document relevance calculating apparatus according to any one of appendix 1 to appendix 3,
The document file relevance calculation means calculates a directory name relevance level that represents a depth of relevance between the search character string and the name of the directory in which the document file for which the document file relevance level is calculated is stored. A document relevance calculating apparatus configured to calculate the directory relevance based on the document relevance.

  By the way, the directory name is often set to a name that is relatively deeply related to the document file stored in the directory. Therefore, according to the document relevance calculation apparatus configured as described above, it is possible to calculate the relevance (directory relevance) that represents the depth of the relevance between the search character string and the directory with high accuracy.

(Appendix 5)
The document relevance calculating apparatus according to appendix 4, wherein
The document file relevance calculating unit is configured to calculate the directory relevance level that represents a relationship depth that becomes deeper as a relationship depth expressed by the directory name relevance level becomes deeper.

(Appendix 6)
The document relevance calculating apparatus according to any one of appendices 1 to 5,
The document file relevance calculation means calculates the in-document character string relevance for each of a plurality of document files, and the relationship depth represented by the calculated in-document character string relevance is determined in advance. Document files deeper than the set threshold depth are extracted, the directory relevance is calculated for each of the directories in which the extracted document files are stored, and each of the extracted document files is calculated. On the other hand, a document relevance calculation device configured to calculate the document file relevance based on the calculated directory relevance and the calculated in-document character string relevance.

  According to this, the processing load of the document relevance calculation device can be reduced compared to the case of calculating the directory relevance and the document file relevance regardless of the calculated character string relevance in the document. it can.

(Appendix 7)
The document relevance calculating apparatus according to any one of appendix 1 to appendix 6,
A document relevance calculation device configured to output document file identification information for identifying the document file, arranged in order of the relationship depth represented by the calculated document file relevance.

(Appendix 8)
The document relevance calculating apparatus according to any one of appendix 1 to appendix 7,
A document relevance level configured to extract a document file from the plurality of document files based on the calculated document file relevance level and output document file identification information for identifying the extracted document file Calculation device.

(Appendix 9)
Accept search strings,
For each of a plurality of document files, each stored in one of a plurality of directories and representing a document, the relationship between the accepted search character string and the character string included in the document represented by the document file Based on the in-document character string relevance level indicating the depth and the directory relevance level indicating the relationship depth between the search character string and the directory in which the document file is stored, the search character string and the document A document relevance calculation method for calculating a document file relevance representing a depth of relevance with a file.

(Appendix 10)
The document relevance calculation method according to attachment 9, wherein
The in-document character string association degree is calculated for each of all the document files stored in the directory in which the document file that is a target for calculating the document file association degree is stored, and the calculated A document relevance calculation method configured to calculate the directory relevance with respect to the directory based on an intra-document character string relevance.

(Appendix 11)
The document relevance calculation method according to appendix 9 or appendix 10, wherein
The directory relevance is calculated based on the directory name relevance representing the depth of relevance between the search character string and the name of the directory in which the document file for which the document file relevance is calculated is stored. Document relevance calculation method configured as described above.

(Appendix 12)
In the information processing device,
Accept search strings,
For each of a plurality of document files, each stored in one of a plurality of directories and representing a document, the relationship between the accepted search character string and the character string included in the document represented by the document file Based on the in-document character string relevance level indicating the depth and the directory relevance level indicating the relationship depth between the search character string and the directory in which the document file is stored, the search character string and the document A document relevance calculation program for executing processing for calculating a document file relevance representing a depth of relevance to a file.

(Appendix 13)
A document relevance calculation program according to attachment 12, wherein
The in-document character string association degree is calculated for each of all the document files stored in the directory in which the document file that is a target for calculating the document file association degree is stored, and the calculated A document relevance calculation program configured to calculate the directory relevance for the directory based on a character string relevance in a document.

(Appendix 14)
A document relevance calculation program according to attachment 12 or attachment 13, wherein
The directory relevance is calculated based on the directory name relevance representing the depth of relevance between the search character string and the name of the directory in which the document file for which the document file relevance is calculated is stored. A document relevance calculation program configured as described above.

  The present invention can be applied to a document relevance calculation device that calculates a relevance level that represents the depth of association between a search character string and a document file, a document search device that searches for a document that is closely related to a search character string, and the like. is there.

DESCRIPTION OF SYMBOLS 1 Document search system 10 Client apparatus 11 Search character string transmission part 12 Search result output part 20 Document file server apparatus 30 Document search server apparatus (document relevance degree calculation apparatus)
31 Search character string reception unit 32 Document file relevance calculation unit 32a In-document character string relevance calculation processing unit 32b Directory structure information acquisition unit 32c Directory relevance calculation processing unit 32d Document file relevance calculation processing unit 33 Search result transmission unit 100 Document relevance calculation device 101 Search character string reception unit 102 Document file relevance calculation unit

Claims (10)

A search character string receiving means for receiving a search character string;
For each of a plurality of document files, each stored in one of a plurality of directories and representing a document, the relationship between the accepted search character string and the character string included in the document represented by the document file Based on the in-document character string relevance level indicating the depth and the directory relevance level indicating the relationship depth between the search character string and the directory in which the document file is stored, the search character string and the document A document file relevance calculating means for calculating a document file relevance representing the depth of relevance to the file;
A document relevance calculation device. The document relevance calculating apparatus according to claim 1,
The document file relevance calculating means calculates the document character string relevance for each of all document files stored in a directory in which the document file for which the document file relevance is calculated is stored. A document relevance calculating device configured to calculate the directory relevance for the directory based on the calculated in-document character string relevance. The document relevance calculating apparatus according to claim 1 or 2,
The document file relevance calculating means is deeper as a relationship depth represented by the character string relevance in the document with respect to a document file for which the document file relevance is calculated, and the document file is stored. A document relevance calculating device configured to calculate the document file relevance representing the depth of association, the deeper the relevance represented by the directory relevance with respect to a given directory. The document relevance calculation device according to any one of claims 1 to 3,
The document file relevance calculation means calculates a directory name relevance level that represents a depth of relevance between the search character string and the name of the directory in which the document file for which the document file relevance level is calculated is stored. A document relevance calculating apparatus configured to calculate the directory relevance based on the document relevance. The document relevance calculation device according to claim 4,
The document file relevance calculating unit is configured to calculate the directory relevance level that represents a relationship depth that becomes deeper as a relationship depth expressed by the directory name relevance level becomes deeper. A document relevance calculation device according to any one of claims 1 to 5,
The document file relevance calculation means calculates the in-document character string relevance for each of a plurality of document files, and the relationship depth represented by the calculated in-document character string relevance is determined in advance. Document files deeper than the set threshold depth are extracted, the directory relevance is calculated for each of the directories in which the extracted document files are stored, and each of the extracted document files is calculated. On the other hand, a document relevance calculation device configured to calculate the document file relevance based on the calculated directory relevance and the calculated in-document character string relevance. The document relevance calculation device according to any one of claims 1 to 6,
A document relevance calculation device configured to output document file identification information for identifying the document file, arranged in order of the relationship depth represented by the calculated document file relevance. The document relevance calculation device according to any one of claims 1 to 7,
A document relevance level configured to extract a document file from the plurality of document files based on the calculated document file relevance level and output document file identification information for identifying the extracted document file Calculation device. Information processing device
Accept search strings,
For each of a plurality of document files, each stored in one of a plurality of directories and representing a document, the relationship between the accepted search character string and the character string included in the document represented by the document file Based on the in-document character string relevance level indicating the depth and the directory relevance level indicating the relationship depth between the search character string and the directory in which the document file is stored, the search character string and the document A document relevance calculation method for calculating a document file relevance representing a depth of relevance with a file. In the information processing device,
Accept search strings,
For each of a plurality of document files, each stored in one of a plurality of directories and representing a document, the relationship between the accepted search character string and the character string included in the document represented by the document file Based on the in-document character string relevance level indicating the depth and the directory relevance level indicating the relationship depth between the search character string and the directory in which the document file is stored, the search character string and the document A document relevance calculation program for executing processing for calculating a document file relevance representing a depth of relevance to a file.

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