JP2011100407A - Retrieval system, and display method in retrieval system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a retrieval system for displaying reference data in the order of their values, and to provide a display method in the retrieval system. <P>SOLUTION: The retrieval system includes: a content retrieval recording processing part 3 which counts up the number of accesses to referred data, stores the number of accesses to a content DB when a user refers to the data, and stores a comment input to the referred data by the user in a comment DB; and a value calculation means 6 which acquires the number of accesses to the referred data from the content DB, acquires the comment to the referred data from the comment DB, calculates an evaluation point for the acquired comment, acquires the amount ordered corresponding to the referred data from an order DB in an order preparation system, calculates the value of the referred data based on the number of accesses, the evaluation point of the comment and the amount ordered, and stores the calculated value in the content DB. The value stored in the content DB is used for determining the order of displaying data obtained by retrieval. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to a search system and a display method in the search system, and more particularly, a search system for searching knowledge materials such as in-house technical information and proposals using a Web search tool, and an improved display of search results in the search system. It relates to the display method.

  As a conventional technique related to display of search results in a search system, for example, a technique described in Patent Document 1 is known. In this prior art, in order to display search results in the order of useful information, the usefulness of searched information is determined based on the number of times the information is browsed (the number of accesses).

  Moreover, the technique described in patent document 2 etc. is known as another prior art. In this prior art, in order to display search results in order of useful information, the usefulness of searched information is determined not by the number of times of browsing information but by the number of bookmark registrations.

JP 2005-190453 A JP 2003-108587 A

  In the current Web search system, in most cases, the display order of the materials displayed on the search result screen is the order of registration from the latest one or the order of simple material title names. However, a user who uses a Web search system often wants to know information such as which material is popular (highly accessed) and which material is useful (highly useful). For this reason, display in order of popularity or usefulness is required for the Web search system.

  In order to satisfy such user needs, the search system displays the information requested by the user (number of accesses, usefulness) in addition to the title of the material, and the order of display of the materials is also in descending order of the number of accesses. It would be effective if a function for rearranging materials in the order in which they were useful could be provided. In this case, the number of accesses to the retrieved reference material is relatively easy to obtain, but it is difficult to obtain the usefulness of the retrieved reference material.

  The above-described conventional technology uses the number of times of browsing (the number of accesses) or the number of times of bookmark registration as an element for measuring the usefulness. However, the usefulness of the retrieved reference material can satisfy the user's request. Thus, it is difficult to calculate.

  The object of the present invention is to incorporate factors other than the number of accesses as a judgment material for calculating the usefulness of the reference material searched by the Web search system, calculate a more practical and effective usefulness, and search in the order of the usefulness. Another object of the present invention is to provide a search system and a display method in the search system that can display the reference material.

  According to the present invention, in the search system for searching for materials using a Web search tool, the object is to count up the number of accesses to the referenced material and the number of accesses to the content DB at the timing when the user refers to the material. When the user inputs a comment to the referenced material, the content search / record processing means for storing the comment in the comment DB and the number of accesses to the referenced material are acquired from the content DB. Then, a comment on the referenced material is acquired from the comment DB, an evaluation analysis is performed on the acquired comment, a comment evaluation score is calculated, and the comment is referred to from the order DB of the order arrangement system which is another system. Acquire the order amount, as well as the number of accesses, evaluation points for comments, Based on the input amount of money, a usefulness calculating means for calculating the usefulness of the referenced material and storing it in the content DB is provided, and the usefulness stored in the content DB is obtained from the search. This is achieved by using it to determine the display order when displaying.

  According to the present invention, the usefulness of each material in the knowledge search system can be calculated with a more accurate value, and the calculated usefulness of the material can be reflected in the evaluation of the material creator. .

It is a block diagram which shows the structure of the search system by one Embodiment of this invention. It is a figure explaining the outline | summary of each function of the some process part which comprises the usefulness setting function part of the search system by embodiment of this invention. It is a flowchart explaining the processing operation in a content search recording process part. It is a flowchart explaining the processing operation in a usefulness calculation process part. It is a flowchart explaining the processing operation in a charge evaluation process part. It is a figure which shows the structure of the table of the example of data of content DB. It is a figure which shows the structure of the table of the example of data of comment DB. It is a figure which shows the structure of the table of the example of data of order DB. It is a figure which shows the structure of the table of the example of data of charge DB. It is a figure which shows the structural example of the keyword-evaluation score corresponding | compatible file used by the process of a usefulness calculation process part. It is a figure which shows the structural example of the utility-evaluation value corresponding file used by the process of a charge evaluation process part.

  Embodiments of a search system and a display method in the search system according to the present invention will be described below in detail with reference to the drawings.

  FIG. 1 is a block diagram showing a configuration of a search system according to an embodiment of the present invention, and FIG. 2 is a diagram showing a plurality of processing units constituting a benefit setting function unit 2 of the search system according to the embodiment of the present invention shown in FIG. It is a figure explaining the outline | summary of the function.

  A search system 24 according to an embodiment of the present invention is a knowledge search system configured in a server as a Web search system, and includes a benefit setting function unit 2, an order arrangement system 17 as another system having an order DB 18, and a person in charge The system includes a personnel management system 19 as another system having the DB 20. The search system 24 is configured in a well-known information processing apparatus including a CPU, a main memory, a storage device such as an HDD, an output device such as a communication device and a display device, and an input device such as a keyboard and a mouse. .

  The above-described benefit level setting function unit 2 includes a content search / recording processing unit 3, a benefit level calculation processing unit 6, a charge evaluation processing unit 12, a content DB 15, and a comment DB 16. The content search / recording processing unit 3 includes (a) access count addition processing 4 and (b) comment storage processing 5. The usefulness calculation processing 6 includes (c) access count acquisition processing 7 and (d) comment evaluation analysis. The process 8 includes an order amount acquisition process 9, (f) a usefulness calculation process 10, and (g) a usefulness setting process 11. The assigned evaluation processing unit 12 includes (h) assigned evaluation processing 13 and (i) evaluation setting processing 14. The processes (a) to (i) described above are configured by a program, and each function is constructed by being executed by the CPU after being loaded into the main memory.

  A user who uses the search system according to the embodiment of the present invention configured as described above uses the terminal 1 connected to the search system 24 that is a Web search system via the network 23 as an interface to the search system 24 as a document ( Content) and refer to the obtained material. The search of the material in the search system 24 is not shown in FIG. 1 regarding the configuration for searching for the material, but can be performed by providing a well-known search processing means in the search system 24.

  In the search system according to the embodiment of the present invention, the access number addition process 4 in the content search record processing unit 3 is executed at the timing when the user refers to the material. The access number addition process 4 counts up the number of accesses and stores the number of accesses to the content DB 15, which is one of the elements for obtaining the usefulness. When the user inputs a comment to the referenced material from the terminal 1, the comment storage process 5 in the content search record processing unit 3 is executed, and the comment storage process 5 Store in DB16.

  Thereafter, the usefulness calculation processing unit 6 calculates the usefulness. Therefore, first, the access count acquisition process 7 acquires the access count added by the access count addition process 4 from the content DB 15 for the referenced material.

  Next, the comment evaluation analysis process 8 acquires and evaluates all comment data stored in the past including the comments stored in the comment storage process 5 from the comment DB 16. As shown in the column of the processing content of (d) comment evaluation analysis processing in FIG. 2, this evaluation is performed by assigning points to the keywords included in the comments and setting the evaluation scores based on the scores. Can be performed by a method of calculating.

  The order amount acquisition process 9 acquires the order amount corresponding to the material referred to from the order DB 18 of the order arrangement system 17 which is another system. The usefulness calculation processing 10 determines the “access count”, “comment evaluation score”, and “order receiving amount” acquired by the access number acquisition processing 7, the comment evaluation analysis processing 8, and the order amount acquisition processing 9, and calculates the usefulness. To do. As shown in the column of the processing content of (f) benefit calculation processing 10 in FIG. 2, the calculation of the usefulness is such that the “number of accesses” is 0.1 for one access, and the “comment evaluation score” is The evaluation score can be used as it is, and the “order amount” can be added as one point per ¥ 10.000.

  The usefulness setting process 11 sets the usefulness obtained in the usefulness calculation process 10 in the content DB 15. At that time, if already set, it is overwritten and updated. This usefulness is used to cause the search system 24 to search for materials (contents) and determine the display order when the obtained materials are displayed.

  Up to the above, the processing in the benefit calculation processing unit 6 is completed, and after this processing is completed, the processing in the assigned evaluation processing unit 12 is executed.

  Here, the usefulness of the material calculated by the knowledge search system is reflected in the evaluation of the material creator in the 19 responsible DB of the personnel management system which is another system, and the evaluation value of the responsible person is updated. .

  Therefore, first, the person-in-charge evaluation process 13 obtains an evaluation value of the person in charge based on the benefit level calculated in the above-described benefit level calculation process 10. This evaluation value is based on the usefulness of the corresponding material in the content DB 15, as shown in the processing content column of (h) responsible evaluation processing 13 in FIG. It can be obtained by a method of determining an evaluation value from the table 22.

  The evaluation value setting process 14 sets the evaluation value obtained in the assigned evaluation process 13 in the assigned DB 20. At that time, if already set, it is overwritten and updated.

  The outline of the operation of the search system according to the embodiment of the present invention has been described above. Next, specific processing will be described in detail. Before explaining the details of the processing, first, a data example and file structure of each DB necessary for the processing will be described.

  FIG. 6 is a diagram showing the configuration of a table of data examples in the content DB 15. The table of the data example of the content DB 15 includes CTN-NO indicating the content number, CTN-MEI indicating the content name, ACCESS indicating the number of accesses, UTILITY indicating the usefulness, TANTO-NO indicating the assigned number, and KOSIN indicating the update date. -A plurality of records including each item such as DATE are stored.

  FIG. 7 is a diagram illustrating a configuration of a table of a data example of the comment DB 16. A table of data examples of the comment DB 16 includes CTN-NO indicating the content number, CMT (1) to CMT (50) storing comments from the comments (1) to (50), and KOSIN-DATE indicating the update date. A plurality of records including items are stored.

  FIG. 8 is a diagram illustrating a configuration of a table of an example of data in the order DB 18. The table of the data example of the order DB 18 includes a JUCU-NO indicating an order number, a CTN-NO indicating a content number, 0 when no order is received, STAT indicating a status by storing 1 when an order is received, and an order receiver CD. JUCHU-CD indicating the order name, JUCHU-MEI indicating the order name, JUCHU-GAKU indicating the order amount, TANTO-NO indicating the charge number, KOSIN-DATE indicating the update date, and the like. Has been.

  FIG. 9 is a diagram illustrating a configuration of a table of a data example of the responsible DB 20. The table of the data example of the responsible DB 20 stores a plurality of records including items such as TANTO-NO indicating the responsible number, TANTO-MEI indicating the name of the responsible person, HYOKA indicating the evaluation value, and KOSIN-DATE indicating the update date. Configured.

  FIG. 10 is a diagram illustrating a configuration example of the keyword-evaluation point correspondence file 21 used in the processing of the benefit calculation processing unit 6.

  The keyword-evaluation score correspondence file 21 is a file in which a score is assigned to a keyword included in a comment, and the keyword is associated with each other. The evaluation value section includes five grades from +2 to -2. A value is stored, and a keyword corresponding to each evaluation value is stored in the keyword section.

  FIG. 11 is a diagram showing a configuration example of the benefit-evaluation value correspondence file 22 used in the processing of the assigned evaluation processing unit 12.

  The usefulness-evaluation value correspondence file 22 is a file in which the usefulness of the referenced material and the evaluation value of the material creator are stored in association with each other. The evaluation value of the material creator ranges from C− to A +. The benefit-evaluation value correspondence file 22 is configured so that the evaluation value can be determined by the score indicating the usefulness of the material.

  FIG. 3 is a flowchart for explaining the processing operation in the content search / recording processing section 3, which will be described next.

(1) First, when the process is started, the access count addition process 4 reads the data of the referenced material stored in the content DB 15 described with reference to FIG. 6 and reads the access count of the data. It is acquired from the data item “ACCESS (number of accesses)” in the data example of the data (steps 301 and 302).

(2) Next, the access number addition process 4 performs a process of adding +1 to the data item “ACCESS (access number)” in the data example of the read data, and the data item “ACCESS (access) of the referenced material Number) "is updated (steps 303 and 304).

(3) After that, the comment storage process 5 determines whether or not the user inputs a comment from the terminal 1 for the referenced material. If there is no input, the process is performed without doing anything. The process ends (step 305).

(4) If there is an input in the determination in step 305, the data of the corresponding material stored in the comment DB 16 described with reference to FIG. 7 is accessed, and the data item “CMT (x) (comment (x)” in the data example is accessed. ) (x: 1 to 50) "is stored, and the processing here ends. Note that x is set in order from 1, and a new comment is stored in the empty item column (step 306).

  FIG. 4 is a flowchart for explaining the processing operation in the usefulness calculation processing unit 6, which will be described next. The processing in the usefulness calculation processing unit 6 is processing for obtaining the usefulness of the referenced material, and is executed after the processing in the content search / recording processing unit 3 described above is completed.

(1) When the process is started, first, the access count acquisition process 7 reads the data of the referenced material from the content DB 15 and acquires the data item “ACCESS (access count)” (steps 401 and 402). ).

(2) Next, the comment evaluation analysis process 8 reads and acquires the data item “CMT (x) (comment (x))” of the corresponding material in the comment DB 16 (steps 403 and 404).

(3) Next, the comment evaluation analysis process 8 refers to the keyword-evaluation point correspondence file described with reference to FIG. 10 and performs an evaluation analysis on the acquired comment. The evaluation of the comment is based on the evaluation keyword scored in the sentence of the data item “CMT (x) (comment (x))” acquired from the comment DB 16 (stored in advance in the keyword-evaluation point correspondence file). Whether or not it is included is searched, and if it is included, an evaluation score can be calculated by adding an evaluation score set to the corresponding keyword in the keyword-evaluation score correspondence file. For example, when “very useful” is included as a keyword in the comment, two evaluation points are added (steps 405 and 406).

(4) Thereafter, the order amount acquisition process 9 reads the order DB 18 of the order arrangement system 17 which is another system, and acquires JUCHI-GAKU which is the order amount of the data item of the order DB 18 (steps 407 and 408).

(5) Next, the usefulness calculation process 10 determines the number of accesses, the comment evaluation point, and the order amount acquired in each of the access number acquisition process 7, the comment evaluation analysis process 8, and the order amount acquisition process 9. Calculate the usefulness. The determination contents of each determination item are: 1 access = 0.1 points for the number of accesses, evaluation points = points for the comment evaluation points, and ¥ 10,000 = 1 points for the order amount, and the usefulness Can be calculated by adding these points. For example, if the number of accesses is 1895, the comment rating is 74, the order value is \ 15,000,000,
Utility = (1895 × 0.1) + (74 × 1) + (15000000 ÷ 10000) = 189.5 + 74 + 1500 = 1763.5
(Step 409).

(6) Next, the usefulness setting process 11 sets the usefulness obtained by the process of the usefulness calculating process 10 to the data item “UTILITY (beneficial)” of the corresponding material in the content DB 15. At this time, if it has already been set, it is overwritten and updated, and the processing here ends (step 410).

  FIG. 5 is a flowchart for explaining the processing operation in the assigned evaluation processing unit 12, which will be described next. The processing of the assigned evaluation processing unit 12 is executed after the processing of the benefit calculation processing unit 6 is completed. Then, the responsible evaluation processing unit 12 reflects the usefulness of the material calculated in the process described with reference to FIG. 4 in the evaluation of the material creator in the 19 responsible DBs of the personnel management system which is another system. The process of updating the evaluation value of is performed.

(1) For this reason, first, the charge evaluation process 13 reads the content DB 15 and acquires UTILITY (utility) that is a data item of the corresponding material in the content DB 15 (steps 501 and 502).

(2) Next, the assigned evaluation process 13 refers to the benefit-evaluation value correspondence file 22 described with reference to FIG. 11, and determines an evaluation value based on the benefit. This evaluation value can be determined by obtaining an evaluation value corresponding to the score indicating the usefulness of the benefit-evaluation value correspondence file 22. For example, when the score of usefulness is 70000, the evaluation value is “B +” (steps 503 to 510). )
(3) After that, the evaluation value setting process 14 sets the evaluation value obtained in the process of the assigned evaluation process 13 in the data item “HYOKA (evaluation value)” in the assigned DB 20. At this time, if it has already been set, it is overwritten and updated, and the processing here is terminated (step 511).

DESCRIPTION OF SYMBOLS 1 Terminal 2 Usefulness setting function part 3 Content search recording process part 4 Access number addition process 5 Comment storage process 6 Usefulness calculation process part 7 Access number acquisition process 8 Comment evaluation analysis process 9 Order amount acquisition process 10 Usefulness calculation process 11 Utility setting process 12 Charge evaluation processing part 13 Charge evaluation process 14 Evaluation value setting process 15 Content DB
16 Comment DB
17 Other systems (order arrangement system)
18 Order DB
19 Other systems (HR management system)
20 responsible DB
23 Network 24 Search system

Claims (3)

In a search system that searches for materials using a web search tool,
When the user refers to the material, the number of accesses to the referenced material is counted up and the number of accesses to the content DB is stored, and when the user inputs a comment to the referenced material, the comment Content search recording processing means for storing
The number of accesses to the referenced material is acquired from the content DB, a comment for the referenced material is acquired from the comment DB, an evaluation analysis is performed on the acquired comment, and a comment evaluation score is calculated. The content DB obtains the order amount corresponding to the referenced material from the order DB of the order arrangement system, calculates the usefulness of the referenced material based on the number of accesses, the evaluation score of the comment, and the order amount. And a usefulness calculating means for storing in
A search system characterized in that the usefulness stored in the content DB is used to determine a display order when displaying materials obtained by a search.   An evaluation process for determining the evaluation value of the person in charge of creating the document based on the usefulness of the referenced document, and storing the evaluation value of the person in charge of creating the document in the responsible database of the personnel management system, which is another system A search system, further comprising means. In a display method in a search system for searching for materials using a Web search tool,
The search system includes a content search record processing means and a benefit level calculation means,
The content search record processing means counts up the number of accesses to the referenced material and stores the number of accesses to the content DB at the timing when the user refers to the material, and also allows the user to comment on the referenced material. When input is made, the system stores the comment in the comment DB,
The usefulness calculating means acquires the number of accesses to the referenced material from the content DB, acquires a comment for the referenced material from the comment DB, performs an evaluation analysis on the acquired comment, and evaluates the evaluation score of the comment Calculate and obtain the order amount corresponding to the reference material from the order DB of the order arrangement system, which is another system, and determine the usefulness of the reference material based on the number of accesses, the evaluation point of the comment, and the order amount. To calculate the content DB,
A display method characterized in that the usefulness stored in the content DB is used for determining a display order when displaying materials obtained by a search.

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