JP2012027841A - Retrieval program, retrieval device, retrieval system, retrieval method, and recording medium - Google Patents

Abstract

PROBLEM TO BE SOLVED: To reduce the amount of information for a retrieval object while keeping retrieval accuracy and convenience of retrieval.SOLUTION: The information retrieval device 1 which determines, on the basis of the degree of adaptability to a designated condition, an order of displaying a plurality of documents previously stored, includes an object information DB200 which stores an index information which associates a word included in the documents with its appearance number for each plurality of items consisting the documents, a designated condition information acquisition unit 101 which acquires a word which is a designated condition, an adaptability calculation unit 102 which acquires the appearance number of the word acquired as the designated condition for each item from the index information and calculates the degree of adaptability of the word for the designated condition for each document on the basis of a value obtained by summing up, for each document, appearance numbers acquired for each item and the number of the documents including a word acquired as the designated condition.

Description

  The present invention relates to a search program, a search device, a search system, a search method, and a recording medium, and more particularly, to a reduction in storage capacity of search target information in information search.

  Search technology for electronic data or search result display technology has become an increasingly important technology because of the increase in the number of search results due to an increase in the amount of information to be searched. This is because the information that is sought is buried in a large amount of search results, making it difficult to find. As such a search technique, for example, a ranking search technique is proposed in which a search is executed based on a search condition set by analyzing an input search request, and the search results are ordered by a predetermined score calculation means. .

  In the score calculation means, TF (Term Frequency), which is the number of times a search word included in a specified search condition appears or is used in each document, and the number of documents including the search word, etc. (Document Frequency) is used. In order to improve search interactivity, it is common to generate an index including information associated with a search term and DF and information associated with a search term and TF for each document. .

  In such a search technique, in order to obtain a correct search result using a plurality of indexes, a method of generating a final search result by merging the search results for each of the plurality of indexes has been proposed (for example, , See Patent Document 1).

  Here, the information to be searched in the information search is a website, an electronic document, etc. For example, if it is an electronic document, a plurality of items such as “title”, “summary”, “text”, etc. It may be divided into two. In addition to specifying a keyword as a search condition, it may be specified whether the keyword is included in the “title”, “summary”, or “text”.

  Therefore, the index described above needs to be generated not only for each document but also for each item of the document, and the index is generated twice. Furthermore, considering the case where the range including keywords as search conditions is specified across multiple items such as “Title” and “Summary”, it is necessary to generate an index for all combinations of items. There is a huge amount of information to be searched.

  The present invention has been made to solve the above problems, and an object of the present invention is to reduce the amount of information to be searched while maintaining search accuracy and convenience of search.

  In order to solve the above-described problem, one aspect of the present invention is a search program that determines the order in which a plurality of previously stored documents are displayed based on the degree of conformity to a specified condition. Acquiring a word serving as a condition and storing it in a storage medium, and based on the stored word, the word included in the document and the number of occurrences thereof are associated for each of a plurality of items constituting the document. A step of referring to the search target information, a step of acquiring the number of occurrences associated with the stored word in the search target information for each of the items, and storing the number of occurrences in a storage medium, and for each of the items Based on the value obtained by adding the number of appearances obtained for each document and the number of documents including the stored word, the degree of conformity with respect to the specified condition for each document is calculated, and the storage medium And a step to be stored, characterized in that to be executed by the information processing apparatus.

  In addition, in the step of calculating the fitness and storing it in a storage medium, the number of appearances acquired for each item is multiplied by a coefficient indicating the importance for each of the plurality of items, and then added for each document. It is preferable.

  Further, the number of documents including the stored word may be a logical sum of the number of documents including the stored word in each item.

  Further, the number of documents including the stored word may be the number of documents including the stored word in any of the plurality of items.

  Further, in the step of calculating the fitness and storing it in a storage medium, a value obtained by adding the number of appearances acquired for each item for each document is adjusted using the length value of the document. Is preferred.

  On the other hand, according to another aspect of the present invention, there is provided a search device that determines the order in which a plurality of prestored documents are displayed based on the degree of conformity with a specified condition, and the plurality of items constituting the document A search target information storage unit that stores search target information in which a word included in the document and the number of occurrences thereof are associated with each other, a condition acquisition unit that acquires a word that is the specified condition, and the designation The number of occurrences associated with the word obtained as a condition obtained is obtained for each of the items from the search target information, and the value obtained by adding the number of occurrences obtained for each of the items for each document and A fitness level calculation unit that calculates a fitness level for the specified condition for each document based on the number of documents including the acquired word.

  Here, it is preferable that the fitness level calculation unit multiplies the number of appearances acquired for each item by a coefficient indicating the importance level for each of the plurality of items and adds the result for each document.

  According to still another aspect of the present invention, there is provided a search system that determines a display order of a plurality of prestored documents based on a degree of conformity with a specified condition, the plurality of documents constituting the document A search target information storage unit storing search target information in which a word included in the document and the number of occurrences thereof are associated for each item, and a word that is the specified condition input in the image processing apparatus A condition acquisition unit that acquires the number of occurrences associated with a word acquired as a specified condition for each of the items from the search target information, and the appearance acquired for each of the items A fitness calculation unit that calculates a fitness for the specified condition for each document based on a value obtained by adding a number for each document and the number of documents including the acquired word. And butterflies.

  Here, it is preferable that the fitness level calculation unit multiplies the number of appearances acquired for each item by a coefficient indicating the importance level for each of the plurality of items and adds the result for each document.

  According to still another aspect of the present invention, there is provided a search method for determining a display order of a plurality of prestored documents based on a degree of conformity with a specified condition, which is the specified condition. A word is acquired and stored in a storage medium, and based on the stored word, reference is made to search target information in which a word included in the document and the number of occurrences thereof are associated for each of a plurality of items constituting the document Then, the number of occurrences associated with the stored word in the search target information is acquired for each item and stored in a storage medium, and the number of occurrences acquired for each item is added for each document. Based on the calculated value and the number of documents including the stored word, the degree of conformity with respect to the specified condition for each document is calculated and stored in a storage medium.

  Yet another aspect of the present invention is a recording medium, wherein the search program is recorded in a format readable by an information processing apparatus.

  According to the present invention, it is possible to reduce the amount of information to be searched while maintaining search accuracy and convenience of search.

It is a figure which shows the operation | use form of the system which concerns on embodiment of this invention. It is a block diagram which shows typically the hardware constitutions of the search device which concerns on embodiment of this invention, a client apparatus, and object information DB. It is a block diagram which shows the function structure of the search device which concerns on embodiment of this invention. It is a figure which shows the example of the designation | designated condition information which concerns on embodiment of this invention. It is a figure which shows the example of the index information which concerns on embodiment of this invention. It is a figure which shows the example of the record information which concerns on embodiment of this invention. It is a sequence diagram which shows operation | movement of the system which concerns on embodiment of this invention. It is a figure which shows the production | generation result of TF which concerns on embodiment of this invention. It is a figure which shows the calculation result of the fitness based on embodiment of this invention. It is a figure which shows the information of the weighting for every item which concerns on embodiment of this invention. It is a figure which shows the operation | use form of the system which concerns on other embodiment of this invention.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. In the present embodiment, an information retrieval system that retrieves an electronic document including a plurality of items will be described by taking as an example a system in which index information that is information to be retrieved is generated and stored only for each item of the document. To do.

  FIG. 1 is a diagram illustrating an example of an operation mode of the information search system according to the present embodiment. As illustrated in FIG. 1, the information search system according to the present embodiment includes an information search device 1, a client device 2, and a target information DB 200. The client device 2 is configured by a general information processing device such as a PC (Personal Computer). The information retrieval apparatus 1 is connected to the client apparatus 2 via a network, and is operated as a server that retrieves document information stored in the target information DB 200 in response to a retrieval request from the client apparatus 2.

  The target information DB 200 stores information on the index generated based on the electronic document in addition to the information on the electronic document that is the search target information. The information retrieval apparatus 1 according to the present embodiment refers to the information of the index, calculates the degree of fitness for each electronic document with respect to a given search condition, and details the index information stored in the target information DB 200 later. Describe. As shown in FIG. 1, in this embodiment, an example in which the target information DB 200 is provided separately from the information search apparatus 1 will be described. However, the target information DB 200 may be configured inside the information search apparatus 1. Is possible. The target information DB 200 is configured by a nonvolatile storage medium such as an HDD.

  Next, the hardware configuration of the information search device 1 and the client device 2 according to the present embodiment will be described. FIG. 2 is a block diagram illustrating a hardware configuration of the information search apparatus 1 according to the present embodiment. In FIG. 2, the hardware configuration of the information search apparatus 1 will be described, but the same applies to the client apparatus 2.

  As shown in FIG. 2, the information search apparatus 1 according to the present embodiment has the same configuration as an information processing terminal such as a general server or a PC (Personal Computer). That is, the information search apparatus 1 according to the present embodiment includes a CPU (Central Processing Unit) 10, a RAM (Random Access Memory) 20, a ROM (Read Only Memory) 30, an HDD (Hard Disk Drive) 40, and an I / F 50. 80 is connected. Further, an LCD (Liquid Crystal Display) 60 and an operation unit 70 are connected to the I / F 50.

  The CPU 10 is a calculation means and controls the operation of the entire information retrieval apparatus 1. The RAM 20 is a volatile storage medium capable of reading and writing information at high speed, and is used as a work area when the CPU 10 processes information. The ROM 30 is a read-only nonvolatile storage medium and stores a program such as firmware. The HDD 40 is a non-volatile storage medium that can read and write information, and stores an OS (Operating System), various control programs, application programs, and the like.

  The I / F 50 connects and controls the bus 80 and various hardware and networks. The LCD 60 is a visual user interface for the user to check the state of the information search device 1. The operation unit 70 is a user interface such as a keyboard and a mouse for the user to input information to the information search apparatus 1. As described with reference to FIG. 1, the information search apparatus 1 according to the present embodiment is operated as a server. Therefore, user interfaces such as the LCD 60 and the operation unit 70 can be omitted.

  In such a hardware configuration, a program stored in a storage medium such as the ROM 30, the HDD 40, or an optical disk (not shown) is read into the RAM 20, and the CPU 10 performs calculations according to the program, thereby configuring a software control unit. . A functional block that realizes the function of the information search apparatus 1 according to the present embodiment is configured by a combination of the software control unit configured as described above and hardware.

  Next, functional blocks of the information search apparatus 1 according to the present embodiment will be described with reference to FIG. FIG. 3 is a block diagram showing the target information DB 200 storing the functional blocks of the information search apparatus 1 according to the present embodiment and the information of the electronic document to be searched by the information search apparatus 1. As illustrated in FIG. 3, the information search apparatus 1 according to the present embodiment includes a search control unit 100, an information input unit 110, a network I / F 120, and a display unit 130.

  The information input unit 110 is configured to allow a user to operate the information search apparatus 1 and input information to the search control unit 100, and is realized by the I / F 50 and the operation unit 70 illustrated in FIG. The network I / F 120 is an interface for the information search apparatus 1 to acquire information via the network or transmit information via the network, and is realized by the I / F 50 shown in FIG. For example, it is realized by an interface of Ethernet (registered trademark) connection or an interface of USB (Universal Serial Bus) connection.

  The display unit 130 is configured to display the operation state of the information search apparatus 1, search results, and the like, and is realized by the I / F 50 and the LCD 60 shown in FIG. As described above, the information input unit 110 and the display unit 130 can be omitted. The search control unit 100 is configured to perform the search function of the information search apparatus 1 according to the present embodiment, and includes a specified condition information acquisition unit 101, a fitness calculation unit 102, and a calculation result processing unit 103. The search control unit 100 is configured by the CPU 10 performing calculations according to a program loaded in the RAM 20 shown in FIG.

  The specified condition information acquisition unit 101 acquires search condition information input by the user via the information input unit 110 or search condition information input via the network via the network I / F 120 as specified condition information. The designation condition information is a condition designated by the user as a condition for extracting a desired document. In the keyword information for designating a word to be included in the electronic document to be searched or the electronic document to be searched, This is information specifying an item that should contain the keyword.

  An example of the specified condition information acquired by the specified condition information acquiring unit 101 will be described with reference to FIGS. FIG. 4A is a diagram showing a case where keywords “system” and “database” are designated as an example of the designation condition information, and “title” is designated as an item that should contain the keyword. In this case, a document in which the keywords “system” and “database” are included in the item “title” of the electronic document is extracted by the search and becomes a calculation target of the fitness.

  FIG. 4B is a diagram showing a case where the keyword “system” is designated, and “title” and “summary” are designated as items that should contain the keyword. In this case, a document in which the keyword is included in the items “title” and “summary” of the electronic document is extracted by the search, and becomes a calculation target of the fitness.

  FIG. 4C is a diagram illustrating a case where the keywords “system” and “database” are specified, and “full text” is specified as an item that should include the keyword. In this case, a document in which the keyword is included regardless of the item of the electronic document is extracted by the search, and becomes a calculation target of the fitness. v

  The fitness level calculation unit 102 refers to the index for each item of each document stored in the target information DB 200 based on the specified condition information input from the specified condition information acquisition unit 101, and the fitness level for each document search condition One of the gist of the present embodiment is a method for calculating the fitness for each document based on a plurality of indexes stored for each item in the document in the target information DB 200. A specific calculation method of the fitness level by the fitness level calculation unit 102 will be described in detail later.

  The calculation result processing unit 103 generates and outputs display information for displaying the list of fitness levels for each document calculated by the fitness level calculation unit 102 on the display unit 130 or the display unit of the client device 2. As shown in FIG. 3, the target information DB 200 is indexed in the form of “title index”, “summary index”, “text index” for each item of the electronic document such as “title”, “summary”, “text”. The information is memorized. The target information DB 200 stores record information as a list of documents to be searched.

  An example of information stored in the target information DB 200 according to the present embodiment will be described with reference to FIGS. FIG. 5A is a diagram illustrating an example of title index information, and FIG. 5B is a diagram illustrating an example of text index information. As shown in FIGS. 5 (a) and 5 (b), each index information is first information in which a DF (Document Frequency) is associated with a word included in a document managed as a search target. It is included. For each word, a document ID for identifying each document is associated with a TF (Term Frequency).

  Here, the DF is information indicating the number of documents including the word among documents managed as search targets. In the present embodiment, DF shown in FIGS. 5A and 5B is the number of documents including the word in each item. For example, FIG. 5A shows that there are three documents including the word “system” in the document title. TF is information indicating the number of words included in each document. For example, in FIG. 5B, documents including the word “system” in the body are five documents with document IDs “1” to “5”, and “document” is the document with document ID “1”. Ten words are included.

  Further, as shown in FIGS. 5A and 5B, each index information includes information indicating the document length which is the length of each document. The document length information according to the present embodiment is the number of characters of the document. 5A and 5B, the document length of the title with the document ID “1” is “12”, and the document length of the text is “100”.

  FIG. 6 is a diagram illustrating an example of record information. As shown in FIG. 6, in the record information according to the present embodiment, a document ID, a title of the document, and a creator of the document are associated with each other. This record information is information that the calculation result processing unit 103 refers to when generating a list according to the calculation result of the fitness level by the fitness level calculation unit 102.

  Next, the operation of the information search system according to the present embodiment will be described with reference to the drawings. FIG. 7 is a sequence diagram showing an information search operation in the information search system according to the present embodiment. As shown in FIG. 7, when searching for an electronic document registered in the document information DB 200, first, the user operates the client device 2 to display a search condition specifying screen for specifying a search condition. Is acquired from the information search apparatus 1 and a search condition designation screen is displayed (S701). Hereinafter, in the description of the present embodiment, a case where the user operates the client device 2 to use the function of the information search device 1 will be described as an example.

  In the present embodiment, a case where the search condition described in FIG. 4B is specified by the user will be described as an example. The user operates the operation unit of the client device 2 to input a search condition as shown in FIG. 4B, and transmits it to the information search device 1 as designated condition information (S702).

  The specified condition information transmitted to the information search device 1 is input from the network I / F 120 to the information search device 1 and acquired by the specified condition information acquisition unit 101 of the search control unit 100 (S703). Specifically, the processing in S703 is performed by the CPU 10 functioning as the specified condition information acquisition unit 101 by performing an operation according to a program, and the specified condition information is stored in the storage area of the RAM 20 functioning as a part of the specified condition information acquisition unit 101. It is a process to store. That is, the specified condition information acquisition unit 101 functions as a condition acquisition unit.

  When the matching condition calculation unit 102 acquires the specified condition information from the specified condition information acquisition unit 101, the matching level calculation unit 102 searches the index information stored in the target information DB 200 according to the specified item and keyword (S704). That is, in S704, the fitness level calculation unit 102 refers to the index information stored in the target information DB 200, and extracts information associated with the keyword as the specified condition information. In the example of FIG. 7, since “title” and “text” are designated as items as shown in FIG. 4B, the fitness level calculation unit 102 searches the title index and text index.

  In step S <b> 704, the fitness level calculation unit 102 searches the title index and text index described with reference to FIGS. 5A and 5B, and searches for the keyword “system” for each item of “title” and “text”. Get TF. In step S <b> 704, the fitness level calculation unit 120 acquires a DF for the keyword “system” for each item. Specifically, this process is a process in which the CPU 10 functioning as the fitness calculation unit 102 stores the TF and DF values in the storage area of the RAM 20.

  When the processing of S704 is completed, the fitness level calculation unit 102 generates TF and DF values for each document based on the TF and DF values acquired for each item in S704 (S705). In step S <b> 705, the fitness level calculation unit 102 generates a TF value for the document by summing the TF values acquired for the respective items of one document.

  In step S <b> 705, the fitness level calculation unit 102 generates a DF value for the document by calculating the logical sum of the items to be searched for the number of documents including the keyword “system” in the items to be searched. To do. For the generation of the DF value, the fitness calculation unit 102 according to the present embodiment is common in the central table of FIGS. 5A and 5B, that is, the table in which the document ID and the TF value are associated with each other. By subtracting the number of document IDs from the sum of the DF values in each item, a logical sum is obtained to obtain the DF value. The process of S705 is a process in which the CPU 10 functioning as the fitness calculation unit 102 stores the generated TF and DF values in the storage area of the RAM 20. An example of the TF value generated by the process of S705 is shown in FIG.

When the processing of S705 is completed, the fitness level calculation unit 102 calculates the fitness level of each document stored in the target information DB 200 based on the generated TF and DF values (S706). The process of S706 is a process in which the CPU 10 functioning as the fitness level calculation unit 102 stores the calculated fitness level in the storage area of the RAM 20. Here, the calculation mode of the fitness in S706 will be described. The score Score i, j for the keyword i of the document j is obtained by the following equation (1).

  Here, “N” shown in Expression (1) is the number of all documents stored in the target information DB 200. “Tfij” is the generated TF value, and “dfi” is the generated DF value.

  In the above equation (1), the fitness score Scorei, j increases as the value of DF decreases. This is based on the idea that the smaller the number of documents containing the word, that is, the smaller the DF value, the more characteristic the word. Also, the fitness score Scorei, j increases as the value of TF increases. This is based on the idea that a document that contains more words, that is, a document that matches the condition, the greater the value of TF.

  The goodness-of-fit calculation unit 102 uses the above formula (1) to calculate the goodness of fit for all the documents stored in the target information DB 200 using the values of TF and DF generated in S705. FIG. 9 shows the calculation result of the fitness in S706. As shown in FIG. 9, the fitness is calculated for each document stored in the target information DB 200.

  When the fitness level is calculated as shown in FIG. 9, the fitness level calculation unit 102 sorts the document order based on the calculated fitness level and generates ranking result information. Then, the fitness level calculation unit 102 inputs the ranking result information to the calculation result processing unit 103. The extraction result processing unit 103 that has received the ranking result information from the fitness calculation unit 102 generates display information for displaying the ranking search result, and transmits it to the client device 2 (S707).

  In S707, the extraction result processing unit 103 acquires the titles associated with the respective document IDs from the record information stored in the target information DB 200 based on the sorted document IDs, and the titles are sorted and displayed. Generate a screen. The client device 2 that has received the display information displays the ranking search result on the display unit (S708), and ends the process.

  As described above, in the information search system according to the present embodiment, index information indicating the TF value and the DF value is stored separately for each of a plurality of items included in the electronic document that is the search target information. When a plurality of items are specified in the search condition, a TF value and a DF value are acquired from each specified item, and a TF value and a DF value for each electronic document are generated based on the acquired TF value and DF value. After that, the fitness is calculated. As a result, compared to the case where index information is stored for each combination of items, the accuracy of the calculated fitness, that is, the search accuracy can be maintained while reducing the information capacity of the index information. it can.

  In addition, when a keyword is specified as a search condition, a search target for searching whether or not the keyword is included is not limited to each item or the entire document, and any combination of items can be specified. Therefore, the convenience of search can be maintained.

  In the above embodiment, the DF in the index information for each item of the electronic document is the number of documents including the word in each item. However, as described above, the significance of DF is to realize the idea that the smaller the number of documents containing the word, that is, the smaller the DF value, the more characteristic the word. A constant value may be used regardless of the item. In this case, the DF value is preferably the number of documents including the word in the entire document. When a constant DF value is used regardless of the item, the DF value is constant in S705 of FIG. 7, and therefore only the TF value needs to be generated.

Moreover, in the said embodiment, the case where Formula (1) was used was demonstrated as an example in the calculation of a fitness. In general, since a longer document includes more words, using the calculation method of Equation (1) tends to calculate a higher degree of fitness for a longer document. On the other hand, there is a method of correcting the error of the fitness due to the difference in the document length by further considering the document length based on the calculation of Expression (1). When considering the document length, the fitness score Score i, j is obtained by the following equation (2).

  Here, “lj” shown in Expression (2) is the document length of the document j. Here, as described in FIGS. 5A and 5B, in the index information according to the present embodiment, the document length is stored for each item. Accordingly, the suitability calculation unit 102 acquires the document length for each item in S704 of FIG. 7, and sums the acquired document length for each electronic document in S706, thereby obtaining the document length for each document. “Lj” is generated.

  Further, “L” shown in Expression (2) is an average value of document lengths of all electronic documents stored in the target information DB 200, that is, an average document length. The significance of the expression (2) is that there are many characters because the number of characters is large by adjusting the TF value based on the document length of each document among the TF and DF values used as the basis for calculating the fitness. This is to correct a tendency that a document including a word and having a large TF value as a result has a higher relevance. By such calculation, it is possible to solve the problem that the longer the document, the higher the fitness is calculated.

  In the above embodiment, the case where the TF values acquired for the respective items of one document are summed up when obtaining the TF value for each document in S705 of FIG. 7 has been described as an example. In this case, whether the keyword appears in the title, in the summary, or in the text, all counts equally as “1”. However, a document in which the keyword appears in the title or summary is considered to be a document related to the keyword more than a document that appears in the text. Therefore, it is preferable that a higher relevance degree is calculated for a document in which the keyword appears once in the title than in a document that appears once in the text.

  Such an aspect can be realized by summing up the TF values acquired for each item after weighting according to the item. For example, as shown in FIG. 10, for each item such as a title, summary, and body, information in which a coefficient indicating importance is set is stored in the fitness calculation unit 102, and the fitness calculation unit 102 When summing the TF values for each item in S705, the sum is obtained by multiplying the TF value for each item by the coefficient shown in FIG. In the example of FIG. 10, the title is weighted 10 times more important than the text, and the summary is weighted 5 times more important than the text. By such an aspect, it is possible to further improve the search accuracy.

  Further, in the above-described embodiment, the case where the user operates the client device 2 configured by a general PC or the like and inputs the search condition information has been described as an example. In addition, for example, as shown in FIG. 11, an operation unit such as a display panel of a printer, a scanner, a copier, or a complex machine having these functions in combination can be used as an interface for inputting search condition information. Is possible. In the example of FIG. 11, not the client device 2 but the multifunction device 3 is used as a terminal for a user to input information on search conditions.

DESCRIPTION OF SYMBOLS 1 Search apparatus 2 Client apparatus 3 Multifunction machine 10 CPU
20 RAM
30 ROM
0 HDD
50 I / F
60 LCD
70 Operation Unit 80 Bus 100 Search Control Unit 101 Designated Condition Information Acquisition Unit 102 Suitability Calculation Unit 103 Calculation Result Processing Unit 110 Information Input Unit 120 Network I / F
130 Display unit 200 Target information DB

JP 2003-323457 A

Claims (11)

A search program for determining an order of displaying a plurality of documents stored in advance based on a degree of conformity to a specified condition,
Acquiring a word as the specified condition and storing it in a storage medium;
Referring to search target information in which a word included in the document and the number of occurrences thereof are associated with each other for each of a plurality of items constituting the document, based on the stored word;
Obtaining the number of occurrences associated with the stored word in the search target information for each of the items and storing it in a storage medium;
Based on a value obtained by adding the number of appearances acquired for each item for each document and the number of documents including the stored word, a fitness for the specified condition for each document is calculated, and a storage medium And a step of causing the information processing apparatus to execute the step of storing the information in the information processing apparatus.   In the step of calculating the fitness and storing it in a storage medium, the number of appearances acquired for each item is multiplied by a coefficient indicating the importance for each of the plurality of items, and then added for each document. The search program according to claim 1, wherein In the step of acquiring a word that is the specified condition and storing it in a storage medium, also acquiring information specifying an item that should contain the word among a plurality of items constituting the document,
The search program according to claim 1 or 2, wherein the number of documents including the stored word is the number of documents including the stored word in any of the designated items.   3. The search program according to claim 1, wherein the number of documents including the stored word is the number of documents including the stored word in any of the plurality of items.   In the step of calculating the fitness and storing it in a storage medium, the value obtained by adding the number of appearances acquired for each item for each document is adjusted using the length value of the document. The search program according to any one of claims 1 to 4. A search device for determining an order of displaying a plurality of documents stored in advance based on a degree of conformity to a specified condition,
A search target information storage unit storing search target information in which a word included in the document and the number of appearances thereof are associated for each of a plurality of items constituting the document;
A condition acquisition unit for acquiring a word that is the specified condition;
A value obtained by acquiring the number of appearances associated with the word acquired as the specified condition for each item from the search target information, and adding the number of appearances acquired for each item for each document. And a fitness calculation unit that calculates a fitness for the specified condition for each document based on the number of documents including the acquired word.   The said fitness calculation part multiplies the coefficient which shows the importance for every said item to the appearance number acquired for each said item, and adds it for every said document, It is characterized by the above-mentioned. Search device. A search system that determines an order of displaying a plurality of prestored documents based on a degree of conformity to a specified condition,
A search target information storage unit storing search target information in which a word included in the document and the number of appearances thereof are associated for each of a plurality of items constituting the document;
A condition acquisition unit that acquires a word that is the specified condition input in the image processing apparatus via a network;
The number of appearances associated with the word acquired as the specified condition is acquired for each of the items from the search target information, and the value obtained by adding the number of appearances acquired for each of the items for each document and A search system, comprising: a fitness calculation unit that calculates a fitness for the specified condition for each document based on the number of documents including the acquired word.   The said fitness calculation part multiplies the number of appearance acquired for each said item by the coefficient which shows the importance for every said some item, It adds for every said document, It is characterized by the above-mentioned. Search device. A search method for determining an order of displaying a plurality of prestored documents based on a degree of conformity to a specified condition,
Acquire a word as the specified condition and store it in a storage medium,
Based on the stored word, refer to the search target information in which the word included in the document and the number of occurrences thereof are associated for each of a plurality of items constituting the document,
The number of occurrences associated with the stored word in the search target information is acquired for each of the items and stored in a storage medium,
Based on a value obtained by adding the number of appearances acquired for each item for each document and the number of documents including the stored word, a fitness for the specified condition for each document is calculated, and a storage medium A search method characterized by storing the data in a memory.   6. A recording medium in which the search program according to claim 1 is recorded in a format readable by an information processing apparatus.

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