JP2011076264A - Retrieval control device, retrieval control method, and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To automatically acquire retrieval results whose contents have the high degree of centralization in Web retrieval. <P>SOLUTION: The retrieval control device connected to a network includes a preliminary retrieval means for generating a plurality of preliminary retrieval queries on the basis of a retrieval query, for performing Web retrieval by using each preliminary retrieval query, and for storing preliminary retrieval results in the preliminary retrieval result storage means for each preliminary retrieval query; a preliminary retrieval result evaluation means for reading the preliminary retrieval results from the preliminary result storage means, for executing processing to evaluate the degree of concentration of the contents of the preliminary retrieval results for each preliminary retrieval query, and for storing the preliminary retrieval query corresponding to the preliminary retrieval results whose contents have the highest degree of centralization as a retrieval query in the retrieval query storage means; and a Web retrieval means for performing Web retrieval by using the retrieval query stored in the retrieval query storage means, and for output of the retrieval results when prescribed conditions are satisfied by the retrieval results of the Web retrieval. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to a technique for performing a web search using a search word, and more particularly to a technique for automatically obtaining an appropriate search result including a lot of contents related to a search word.

  Services that provide various contents such as newspapers, programs, videos, photos, etc. on the network are widespread. In such a service, metadata describing the details is added to the content. With the metadata, the service user can easily obtain desired content.

  In such services, in general, metadata is created by the service provider and managed with the content. However, the number of contents has become enormous, and it is becoming difficult to manually assign and manage detailed metadata for each content. Therefore, a technique has been proposed in which a very small amount of metadata is created manually and automatically expanded.

  As a technique for automatically extending metadata, there is a technique using web search. For example, in the technique described in Patent Document 1, an access log in a firewall is used to limit the information source of metadata (such as a web server), and a search term (basic metadata) for the information source. The content related to the search term is acquired based on the search, and new metadata used for expansion is extracted from the content.

JP 2007-149036 A

  A web search in a web search service generally provided on a network collects information including an input search word from the web as information having contents related to the search word. However, in the current web search, depending on how to select a search word to be used, a lot of various pieces of content information having low relevance to the search word may be included in the search result. In such a case, the technique described in Patent Document 1 cannot obtain appropriate extension metadata.

  In addition, in general web searches such as web searches from PC terminals equipped with web browsers, there are not a few cases where appropriate search results cannot be obtained in a single search. However, in order to obtain a search result including a large amount of target content, it is necessary to try a search using various search terms, which is time consuming and troublesome.

  Here, since the web search basically collects information related to the search term, when the degree of dispersion of the content of the web search result is small and concentrated on a certain content, the web search result is There is an extremely high probability that the search result is an appropriate search result concentrated on the contents related to the input search word. It is an issue in web search to automatically obtain such an appropriate search result without performing a manual search again.

  The present invention has been made in view of the above points, and in a technique for executing a web search using an input search word and outputting the search result, a search result with high concentration of contents is automatically acquired. It aims at providing the technology to do.

  In order to solve the above-described problems, the present invention provides a search control apparatus connected to a network provided with a web search service, which performs a preliminary search query based on a search query generated from an input search term. A plurality of preliminary search means for performing a web search using each preliminary search query, and storing the search result of the web search in the preliminary search result storage means for each preliminary search query as a preliminary search result; and the preliminary search Read the preliminary search result from the result storage means, execute the process for evaluating the concentration level of the content of the preliminary search result for each preliminary search query, the preliminary search query corresponding to the preliminary search result with the highest concentration of content, Preliminary search result evaluation means stored in the search query storage means as a search query, and web search using the search query stored in the search query storage means Performed, if the search results of the Web search satisfies a predetermined condition, and a search control device being characterized in that a web search means for outputting the retrieval result.

  According to the present invention, it is possible to automatically acquire a search result having a high degree of content concentration in a technique of executing a web search using an input search word and outputting the search result.

It is a block diagram of the search system which concerns on embodiment of this invention. It is a flowchart which shows operation | movement of the search system which concerns on embodiment of this invention. 5 is a flowchart showing processing of a search query generation unit 13. It is a figure which shows the example of a search term and a search query. 4 is a flowchart showing processing of a web search unit 15. 3 is a flowchart showing processing of a preliminary search execution unit 16. It is a figure which shows the example at the time of displaying the search result of a web search with a browser. It is a figure which shows a part of HTML text which is a search result. It is a figure which shows the example of a preliminary | backup search result. It is a flowchart which shows the process of the preliminary | backup search result evaluation part. It is a figure for demonstrating the evaluation process in the preliminary search result evaluation part. It is a figure which shows the example of the output result by the preliminary search result evaluation part.

  Embodiments of the present invention will be described below with reference to the drawings.

(System configuration)
FIG. 1 shows a configuration of a search system according to an embodiment of the present invention. As shown in FIG. 1, the search system according to the present embodiment includes a search control device 1 and a search utilization device 3. The search control device 1 is connected to a network 4 such as the Internet where a web search service is provided.

  The search utilization device 3 and the search control device 1 may be connected via a wide area network such as a WAN or the Internet, or may be connected via a local network such as a LAN. Further, the search utilization device 3 may be configured to include the function of the search control device 1. Alternatively, a user interface for inputting / outputting information is provided in the search control device 1 without using the search utilization device 3, and a user inputs a search word to the search control device 1, and the search control device 1 May be configured to display the search result to the user.

  The search utilization device 3 is a device that transmits a search word to the search control device 1 and receives a search result from the search control device 1. The search utilization device 3 is a device for extending metadata using a web search result, such as a PC terminal having a web browser or a metadata generation device described in Patent Document 1. .

  As shown in FIG. 1, the search control device 1 includes an input unit 11, a search word storage unit 12, a search query generation unit 13, a search query storage unit 14, a web search unit 15, a preliminary search execution unit 16, and a preliminary search result storage. Unit 17, preliminary search result evaluation unit 18, evaluation result storage unit 19, output unit 20, and control unit 21.

  The input unit 11 stores the search word received from the search utilization device 3 in the search word storage unit 12 via the control unit 21. The search term storage unit 12 stores a search term input from the input unit 11.

  The search query generation unit 13 deletes characters and symbols that are inappropriate for the web search from the search word based on the contents of the setting file stored in a storage device such as a memory, and performs a web search from the search control device 1. Generate a search query to use. Then, the generated search query is stored in the search query storage unit 14 via the control unit 21. The search query storage unit 14 stores the search query created by the search query generation unit 13.

  The web search unit 15 uses the search query stored in the search query storage unit 14 to perform a web search via the network 4 and obtains the search result and the number of content information included in the search result. In the present embodiment, the search result is obtained as text described in HTML. The control unit 21 controls whether to output the search result to the output unit 20 or to transfer the process to the preliminary search execution unit 16 according to the number of searches here.

  The preliminary search execution unit 16 generates a plurality of preliminary search queries including a plurality of words from the search query stored in the search query storage unit 14, and performs a web search via the network 4 using each preliminary search query ( A preliminary search result is obtained. As will be described in detail later, the preliminary search result includes a plurality of summary sentences extracted from the search result of the web search.

  After executing the preliminary search, the preliminary search execution unit 16 stores the preliminary search result in the preliminary search result storage unit 17 via the control unit 21. The preliminary search result storage unit 17 stores the preliminary search results obtained by the preliminary search execution unit 16 for each preliminary search query.

  The preliminary search result evaluation unit 18 evaluates the concentration level of the content using the evaluation function for the preliminary search result stored in the preliminary search result storage unit 17, identifies the preliminary search result having a high concentration level, and evaluates the evaluation result. The result is stored in the evaluation result storage unit 19. The evaluation result storage unit 19 stores the evaluation result obtained by the preliminary search result evaluation unit 18. The output unit 20 is a functional unit that outputs search results to the search utilization device 3.

  The control unit 21 is a functional unit that performs processing control such as instructing each functional unit to execute processing according to a predetermined processing procedure. That is, for example, when each functional unit is realized by a program module (function entity or the like), the control unit 21 performs a process of calling and executing a program corresponding to the functional unit corresponding to the processing procedure.

  The search control device 1 shown in FIG. 1 can be realized by mounting a program for performing processing corresponding to each of the above functional units on a general computer including a storage device and a CPU. The program may be installed in the computer from a recording medium such as a memory or a disk, or may be downloaded from a server on a network to the computer and installed.

  The functional units of the search control device 1 do not need to be provided in one computer. For example, a configuration in which a plurality of computers having one or a plurality of functional units among the functional units are connected via a network. Alternatively, the search control device 1 may be used.

(System operation)
Next, the processing operation of the search system (mainly the search control device 1) according to the present embodiment will be described in detail along the flow of processing shown in FIG. Note that FIG. 2 shows a main body of processing for executing each step and each storage unit for storing information related to the processing.

  First, the input unit 11 receives a search word from the search utilization device 3, and stores the search word in the search word storage unit 12 via the control unit 21 (step 1).

  Next, based on the control by the control unit 21, the search query generation unit 13 generates a search query (step 2). The processing of the search query generation unit 13 will be described with reference to the flowchart of FIG.

  First, the search query generation unit 13 reads a search word stored in the search word storage unit 12 via the control unit 21 (step 21 in FIG. 3). Then, the search query generation unit 13 divides the search word at a location that matches the expression specified by the delimiter character set in the setting file (step 22), and matches the expression specified as an unnecessary character string in the setting file. The character string to be deleted is deleted from the search word (step 23), and the search word subjected to these processes is output as a search query and stored in the search query storage unit 14. (Step 24).

  For example, assuming that the setting file shown in FIG. 3 is used as the setting file and the search word shown in FIG. 4A is input as the search word, the search query generation unit 13 performs the search shown in FIG. A query is generated and stored in the search query storage unit 14.

  Next, in Step 3 of FIG. 2, the web search unit 15 executes a search process. The search process of the web search unit 15 will be described with reference to the flowchart of FIG.

  First, the web search unit 15 reads a search query from the search query storage unit 14 via the control unit 21 (step 31). Then, a web search is performed using a search query via the network 4 to acquire a search result that is an HTML text, and further, the number of searched content information (number of searches) is acquired (step 32).

  After step 3 in FIG. 2, the web search unit 15 or the control unit 21 determines whether the number of search cases is equal to or greater than a predetermined threshold (step 4). As a result of the determination, if the number of searches is less than a predetermined threshold value, the process proceeds to step 5;

  In step 5, the preliminary search execution unit 16 generates a plurality of preliminary search queries from the search query used in step 3, and executes a preliminary search process for acquiring preliminary search results using the plurality of preliminary search queries. The process of the preliminary search execution unit 16 will be described in detail with reference to the flowchart of FIG.

  First, the preliminary search execution unit 16 reads a search query from the search query storage unit 14 via the control unit 21 (step 51). Here, K is the number of words included in the read search query. The preliminary search execution unit 16 generates a plurality of preliminary search queries that are search queries including K-1 words in the search query from a search query including K words, and generates the plurality of preliminary searches. The query is stored in the preliminary search result storage unit (step 52).

  For example, when the search query includes three words (“ABCde local cuisine”, “Nippon Nationwide”, “Gyu / Tori / Buu ~”) (K = 3), the preliminary search execution unit 16 ("ABCde local cuisine", "Nippon Nation"), ("Nippon national", "Gyu Tori Buu"), and ("ABCde local cuisine", "Gyu Tori Buu") Three preliminary search queries are generated.

  After generating a plurality of preliminary search queries with the number of words as K−1, the preliminary search execution unit 16 performs a web search using one preliminary search query among the generated plurality of preliminary search queries, and the search result Is obtained (step 53). Then, the preliminary search execution unit 16 analyzes the HTML tag in the search result composed of text described in HTML, and extracts a summary sentence from each of N pieces of content information that is a predetermined number of 1 or more. (Step 54).

  FIG. 7 shows an example when the search result of the web search is displayed in the browser. In the present embodiment, the summary sentence is an HTML text corresponding to a portion surrounded by a square frame in the example of FIG. 7, and the content information is from a title underlined in the example of FIG. The HTML text corresponding to the information up to the line where the URL below the summary sentence is described.

  FIG. 8 shows a part of the HTML text corresponding to the content information at the top of the search result of FIG. The text from <div class = "abs"> to </ div> in FIG. 8 corresponds to a summary sentence. The preliminary search execution unit 16 acquires N summary sentences as preliminary search results by acquiring the summary sentences from the N pieces of content information.

  Thereafter, in step 54 of FIG. 6, the preliminary search execution unit 16 removes unnecessary tags included in each summary sentence (step 55), and uses the summary sentence from which unnecessary tags are removed as a result of the preliminary search. The data is stored in the preliminary search result storage unit 17 in association with the preliminary search query (step 56). The preliminary search execution unit 16 executes the processing from step 53 to step 56 one by one until the processing for all the preliminary search queries is completed (step 57).

  When the search query is (“ABCde local cuisine”, “Nippon Nationwide”, “Gyu / Tori / Buu ~”), each preliminary search query stored in the preliminary search result storage unit 17 as a result of the above processing. An example of the preliminary search result is shown in FIG.

  Next, in step 6 of FIG. 2, the preliminary search result evaluation unit 18 executes the preliminary search result evaluation process based on the control by the control unit 21. The preliminary search result evaluation process by the preliminary search result evaluation unit 18 will be described with reference to the flowchart of FIG.

  First, the preliminary search result evaluation unit 18 reads a preliminary search result corresponding to one preliminary search query from the preliminary search result storage unit 17 via the control unit 21 (step 61). Then, the preliminary search result evaluation unit 18 converts each of the N summary sentences in the processing target preliminary search result into a word vector (step 62). The word here refers to nouns, adjectives, adjective verbs, verbs, and adverbs. Words that do not have a usage form are used as they are, and words that have a usage form use the original form.

For example, as a word vector for a preliminary search result having N = 10 summary sentences (T _{1 to} T ₁₀ ) as shown in FIG. 11A, 10 word vectors as shown in FIG. can get.

  The word vector in the present embodiment is a vector in which the presence or absence of the word in the summary sentence is expressed by 0 (not included) or 1 (included) for each of a plurality of specific words defined for the preliminary search result. .

For example, the plurality of specific words are arranged in the order of word vector elements in the order of “weather”, “eclipse”, “camp”, “clear”,. 11, the summary sentence T ₁ shown in FIG. 11A includes the words “weather” and “solar eclipse”, so that V ₁ = (1,1,0,0,...) With respect to T ₁ . Is obtained.

  After the word vectors are generated, in step 63 of FIG. 10, the preliminary search result evaluation unit 18 measures the distance between the generated word vectors and groups the word vectors. That is, here, grouping is performed substantially according to the content of the summary sentence. In this processing, in this embodiment, the distance between two word vectors is measured using the following equation.

上記の式において、i = 1,2,…N, j = 1,2,…, N, i ≠ jである。w_i ^tは単語tの要素位置における単語ベクトルの値である。例えば、図１１の例において、i=1, j=2とすると、t＝日食に対して、w₁ ^日食＝１、w₂ ^日食=0である。この式は、コサイン距離を求める式であり、０以上１以下の値をとり、２つの単語ベクトルの近さを測る際によく用いられる式である。 より詳細には、２つの単語ベクトルの共通性が高い場合には１に近い値をとり、共通性が低い場合は、０に近い値をとる。２つの単語ベクトル間の共通性が高いということは、単語ベクトルの元となった２つの要約文の内容が似ていると解釈できる。図１１（ｃ）に、図１１（ａ）の予備検索結果に対してグループ化をした結果の例を示す。

In the above equation, i = 1, 2,... N, j = 1, 2,. w _i ^t is the value of the word vector at the element position of the word t. For example, in the example of FIG. 11, when i = 1, j = 2, t = relative eclipse is w ₁ ^eclipse = 1, w ₂ ^eclipse = 0. This expression is an expression for obtaining a cosine distance, and is an expression often used when taking a value of 0 or more and 1 or less and measuring the proximity of two word vectors. More specifically, when the commonality between two word vectors is high, a value close to 1 is taken, and when the commonality is low, a value close to 0 is taken. The high commonality between the two word vectors can be interpreted that the contents of the two summary sentences that are the basis of the word vectors are similar. FIG. 11C shows an example of the result of grouping the preliminary search results shown in FIG.

  Note that the method of grouping summary sentences is not limited to the above method. Any technique can be used as long as it can perform grouping according to the closeness of the contents of the summary sentence.

  Subsequently, in step 64 of FIG. 10, the preliminary search result evaluation unit 18 uses the obtained grouping result to determine the degree of difference in the summary sentence content in the preliminary search result (that is, the concentration level of the content of the preliminary search result). ) Is evaluated (step 64), and the evaluation value is stored in the evaluation result storage unit 19 together with the preliminary search query corresponding to the target preliminary search result (step 65).

  Then, the preliminary search result evaluation unit 18 repeats the processing from step 61 to step 65 until the processing for all the preliminary search results is completed (step 66).

  In the present embodiment, the degree of difference in summary sentences in the preliminary search results (the degree of concentration of the contents of the preliminary search results) is evaluated using the following evaluation formula.

上記の評価式において、Ｍは、対象とする予備検索結果から生成されたグループの個数、n_jはグループiに含まれる単語ベクトルの数である。例えば、図１１（ｃ）に示す例では、１０個の単語ベクトルが４つのグループに分けられており、グループの個数は４である。つまり、N=10, M=4である。また、n₁= 2, n₂=3, n₃=1, n₄=4である。

In the above evaluation formula, M is the number of groups generated from the target preliminary search results, and n _j is the number of word vectors included in group i. For example, in the example shown in FIG. 11C, ten word vectors are divided into four groups, and the number of groups is four. That is, N = 10 and M = 4. N ₁ = 2, n ₂ = 3, n ₃ = 1, n ₄ = 4.

The above evaluation expression is an expression for obtaining information entropy, and is an expression for evaluating the bias of the entire event using the probability that a certain event occurs. The maximum is taken when all events occur equally, and the minimum is taken when only certain events occur. By utilizing this property, the bias of the content of the preliminary search result is determined in the present embodiment. That is, the ratio of the number of word vectors in each group to N (n _i / N (i = 1, 2,..., M)) is regarded as the occurrence probability of the event, and is substituted into the above evaluation formula to obtain the preliminary search result. The content bias is evaluated.

For example, if N summary sentences are related to one content, when grouping is performed, all N word vectors are grouped into one group. At this time, M = 1, n ₁ / N = 1, and the evaluation formula takes the minimum value 0.

On the other hand, if all N summary sentences have different contents, one word vector becomes one group, and N groups are formed. At this time, M = N, n ₁ / N = 1 / N, n ₂ / N = 1 / N,... N _M / N = 1 / N, and the value of the evaluation formula has a maximum value of 1.

  More specifically, when a preliminary search result as shown in FIG. 9 is obtained, the preliminary search result evaluation unit 18 calculates the result shown in FIG. 12 and stores it in the evaluation result storage unit 19. As shown in FIG. 12, the evaluation value for the preliminary search query: (“ABCde local cuisine”, “Nippon Nationwide”) is the smallest.

  Actually, as shown in FIG. 9, the preliminary search results for the preliminary search query: (“ABCde local cuisine”, “Nippon Nationwide”) contain more contents related to the query than other preliminary search results. You can see that Preliminary search queries: (“Nippon Nationwide”, “Gyu / Tori / Bu ~”), although multiple summary sentences are obtained as preliminary search results, the summary sentences contain many contents that differ from the query. Since the concentration of content is low, the evaluation value is high.

  From the above results, it can be said that the preliminary search result having the smallest evaluation formula value is the preliminary search result having the highest degree of concentration of the contents among the plurality of preliminary search results. Note that the method for evaluating the concentration of contents is not limited to the above method. Any method may be used as long as it can appropriately evaluate the content concentration.

  When the processing of step 61 to step 65 shown in FIG. 10 is completed for all the preliminary search results, the preliminary search result evaluation unit 18 reads the preliminary search query having the smallest evaluation value from the evaluation result storage unit 19, and The preliminary search query is stored in the search query storage unit 14 as a search query via the control unit 21 (step 67). In the example of FIG. 12, the preliminary search query: (“ABCde local cuisine”, “Nippon Nationwide”) is read and stored in the search query storage unit 14.

  Thereafter, in step 3 of FIG. 2, the web search unit 15 reads the search query stored in the search query storage unit 14 by the preliminary search result evaluation unit 18 and performs a web search.

  As a result of this web search, if a Yes determination result is obtained in step 4, the output unit 20 outputs the search result to the search utilization device 3 (step 7 in FIG. 2). If the determination result is No, the processing from step 5 is performed again based on the current search query. This process is repeated until a determination result of Yes is obtained in step 4.

  After step 7, the search using device 3 expands the metadata using the search result, for example. When the search using device 3 is a PC terminal having a browser for performing a general web search, the search using device 3 displays a search result.

(Effect of embodiment)
According to the search control device 1 described in the present embodiment, a search result with a high concentration of contents can be automatically acquired from a certain search word.

  For example, when a metadata expansion device using web search is applied as the search utilization device 3, if the web search fails in the past, the content manager may manually input the search word again. However, since the technique according to the present embodiment automatically performs a re-search, the metadata can be appropriately expanded without any manual operation.

  For example, when a PC terminal that performs a general web search is applied as the search utilization device 3, according to the present embodiment, the user can quickly obtain an appropriate search result without re-entering a search term. Can get to.

  The present invention is not limited to the above-described embodiments, and various modifications and applications are possible within the scope of the claims.

DESCRIPTION OF SYMBOLS 1 Search control apparatus 3 Search utilization apparatus 4 Network 11 Input part 12 Search term memory | storage part 13 Search query production | generation part 14 Search query memory | storage part 15 Web search part 16 Preliminary search execution part 17 Preliminary search result storage part 18 Preliminary search result evaluation part 19 Evaluation result storage unit 20 Output unit 21 Control unit

Claims (8)

A search control device connected to a network provided with a web search service,
A plurality of preliminary search queries are generated based on the search query generated from the input search term, a web search is performed using each preliminary search query, and the search result of the web search is used as a preliminary search query. Preliminary search means for storing in the preliminary search result storage means for each;
A preliminary search result corresponding to the preliminary search result having the highest content concentration is obtained by reading the preliminary search result from the preliminary search result storage unit and executing a process of evaluating the concentration of the content of the preliminary search result for each preliminary search query. Preliminary search result evaluation means for storing the query in the search query storage means as a search query;
Web search means for performing a web search using the search query stored in the search query storage means, and outputting the search result when the search result of the web search satisfies a predetermined condition. A featured search control device.   2. The search according to claim 1, wherein the preliminary search unit deletes one word from the search query including a plurality of words and uses the search query from which one word is deleted as the preliminary search query. Control device.   The preliminary search means extracts a summary sentence from each of a predetermined number of contents information included in a search result based on the preliminary search query, and stores the predetermined number of summary sentences as the preliminary search result in the preliminary search result storage means. The search control device according to claim 1, wherein the search control device stores the search control device.   The preliminary search result evaluating means extracts word vectors from each of the predetermined number of summary sentences, groups the predetermined number of word vectors, and evaluates the concentration using the grouping result. The search control device according to claim 3.   The preliminary search result evaluating means uses the ratio of the number of word vectors in each group to the predetermined number as the word vector appearance probability, and evaluates the concentration by calculating information entropy using the appearance probability. The search control device according to claim 4. In the web search means, the predetermined condition is that the number of content information included in the search result is equal to or greater than a predetermined threshold value,
When the search result does not satisfy the condition, the process by the preliminary search unit, the preliminary search result evaluation unit, and the web search unit is executed again based on the search query used by the web search unit. The search control device according to any one of claims 1 to 5. A search control method executed by a search control device connected to a network provided with a web search service,
A plurality of preliminary search queries are generated based on the search query generated from the input search term, a web search is performed using each preliminary search query, and the search result of the web search is used as a preliminary search query. A preliminary search step for storing in the preliminary search result storage means for each;
A preliminary search result corresponding to the preliminary search result having the highest content concentration is obtained by reading the preliminary search result from the preliminary search result storage unit and executing a process of evaluating the concentration of the content of the preliminary search result for each preliminary search query. A preliminary search result evaluation step of storing the query as a search query in the search query storage means;
A web search step of performing a web search using the search query stored in the search query storage means and outputting the search result when the search result of the web search satisfies a predetermined condition. A characteristic search control method. A program for causing a computer to function as a search control device connected to a network provided with a web search service,
A plurality of preliminary search queries are generated based on the search query generated from the input search term, a web search is performed using each preliminary search query, and the search result of the web search is used as a preliminary search query. Preliminary search means for storing in the preliminary search result storage means for each
A preliminary search result corresponding to the preliminary search result having the highest content concentration is obtained by reading the preliminary search result from the preliminary search result storage unit and executing a process of evaluating the concentration of the content of the preliminary search result for each preliminary search query. Preliminary search result evaluation means for storing the query in the search query storage means as a search query;
Web search means for performing a web search using the search query stored in the search query storage means, and outputting the search result when the search result of the web search satisfies a predetermined condition;
Program to function as.

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