JP6247504B2 - Search formula creation device, search formula creation method, and program - Google Patents

Description

  The present invention relates to a search expression creation device that creates a search expression having one or more search conditions.

  Conventionally, a site where a user searches for a desired store has been developed (see Non-Patent Document 1). By using such a site, the user can obtain a desired search result by selecting the presented search condition.

“GourNavi”, [online], Gurunavi Inc., [October 1, 2013 search], Internet [URL; http://www.gnavi.co.jp/]

  In a site for searching a conventional store, for example, a search expression that can be used by a user is automatically created according to a search condition used by the user in the past or a search result selected by the user from the search results. I couldn't.

  According to the first aspect of the present invention, there is provided a search expression creating apparatus including one or more search conditions including an attribute to be searched, an attribute value corresponding to the attribute, and a relational operator indicating a relationship between the attribute and the attribute value. An execution search expression that is a search expression having information, and information selected by the user from information searched by the execution search expression, and information having one or more attributes and attribute values corresponding to the one or more attributes. A statistical processing information storage unit that stores one or more statistical processing information that is information related to a result of statistical processing of one or more search history management information that is information associated with certain selection result information, and statistical processing information are used. A recommended search formula creation unit that creates a recommended search formula that is a search formula that satisfies a predetermined condition, and an output unit that outputs the recommended search formula created by the recommended search formula creation unit. is there.

  With such a configuration, a search expression that can be used by the user can be automatically created according to search conditions used by the user in the past, a search result selected by the user from the search results, and the like.

  In addition, the search expression creation device according to the second aspect of the present invention provides a search history management information storage unit in which one or more search history management information is stored and one or more search history management information in a statistic. The retrieval formula creation device further includes a statistical processing unit that processes, acquires one or more pieces of statistical processing information, and accumulates the one or more pieces of statistical processing information in a statistical processing information storage unit.

  With such a configuration, a search expression that can be used by the user can be automatically created according to search conditions used by the user in the past, a search result selected by the user from the search results, and the like.

  Further, in the search formula creation device of the third invention, the search history management information is associated with user identification information that is information for identifying a user, and the statistical processing unit is Statistical processing is performed on search history management information associated with the same user identification information, statistical processing information associated with the user identification information is accumulated in the statistical processing information storage unit, and the recommended retrieval formula creation unit This is a retrieval formula creation device that creates a recommended retrieval formula corresponding to a user identified by user identification information using statistical processing information associated with.

  With such a configuration, a search expression that can be used by the user can be automatically created according to search conditions used by the user in the past, a search result selected by the user from the search results, and the like.

  Further, in the search expression creation device of the fourth invention, in contrast to the second or third invention, the search history management information has search environment information which is information indicating an environment at the time of search by an execution search expression. A current environment information acquisition unit that acquires current environment information that is information indicating the current environment, and the statistical processing unit satisfies a predetermined condition with the current environment information among the one or more search history management information This is a search formula creation device that statistically processes one or more search history management information having search environment information that approximates to obtain statistical processing information.

  With such a configuration, in the past environment that approximates the current environment, the search formula that can be used by the user is automatically selected according to the search condition used by the user or the search result selected by the user from the search results. Can be created.

  In addition, the retrieval formula creation device of the fifth aspect of the present invention further includes a reception unit that accepts one or more retrieval conditions for any one of the first to fourth aspects, and the statistical processing information storage unit includes 1 This is a result of statistical processing of the above execution search expressions, which stores statistical processing information related to the frequency of combinations of two or more search conditions included in each of the one or more execution search expressions. When a condition is received, a search expression creation device that creates a recommended search expression having a search condition that is high enough that the frequency of combination with the search condition satisfies a predetermined condition, using the search condition and statistical processing information It is.

  With such a configuration, a search expression that can be used by the user can be automatically created in accordance with a combination of search conditions used by the user in the past.

  In the search expression creation device of the sixth aspect of the invention, the search history management information is the number of pieces of information searched by the execution search expression of the search history management information for any one of the first to fifth inventions. The statistical processing information storage unit statistically processes one or more execution retrieval formulas corresponding to a smaller number of retrievals that satisfy a predetermined condition among the one or more execution retrieval formulas. The statistical processing information regarding the combination of two or more search conditions of one or more execution search formulas is stored, and the recommended search formula creation unit uses the execution search formula and the statistical processing information to calculate the number of searches. Is a search formula creation device that creates a recommended search formula that does not have as few search condition combinations as satisfy a predetermined condition.

  With such a configuration, a search expression that can be used by a user can be automatically created without using a combination of search conditions that reduces the number of searches.

  Further, the search expression creation device of the seventh invention is information to be searched for any one of the first to fifth inventions, and corresponds to one or more attributes and one or more attributes. A search target information storage unit that stores one or more search target information that is information having attribute values, and search target information using a recommended search formula, and one or more search result information that is a result of the search. And a search unit that outputs one or more pieces of search result information.

  With such a configuration, a search expression created according to a search condition used by the user in the past or a search result selected by the user from the search results is used to search the search expression from the information to be searched. It is possible to search for information that matches.

  According to the search formula creation device and the like according to the present invention, a search formula that can be used by the user is automatically created according to the search conditions used by the user in the past or the search result selected by the user from the search results. can do.

Block diagram of search expression creation apparatus 1 according to Embodiment 1 A flowchart for explaining the overall operation of the retrieval formula creation apparatus 1 A flowchart for explaining the operation when acquiring the search condition combination information A flowchart for explaining the operation when acquiring the search condition combination frequency information A flowchart for explaining the operation when acquiring the attribute correspondence information A flowchart for explaining the operation when acquiring the attribute-corresponding frequency information A flowchart for explaining the operation when acquiring the same minority search condition combination information A flowchart for explaining the operation when acquiring the same minority search condition combination frequency information The figure which shows the example of the search history management information The figure which shows the example of the search condition combination frequency information A diagram showing how the search conditions are selected A diagram showing how the search conditions are selected The figure which shows the example of the same attribute corresponding | compatible frequency information A diagram showing how the search conditions are selected The figure which shows the example of the same minority search condition combination frequency information The figure which shows the output example of the search result information The figure which shows the example of the search history management information The figure which shows the example of the search condition combination frequency information Overview of the computer system in the above embodiment Block diagram of a computer system in the above embodiment

  Hereinafter, embodiments of a retrieval formula creation device and the like according to the present invention will be described with reference to the drawings. In addition, since the component which attached | subjected the same code | symbol in embodiment performs the same operation | movement, description may be abbreviate | omitted again. In addition, the format, content, and the like of each information described in this embodiment are merely examples, and the format, content, and the like are not limited as long as the meaning of each information can be indicated.

(Embodiment 1)
In the present embodiment, the execution search expression and the selection result information that is the information selected by the user from the information searched by the execution search expression are statistically processed, and the result of the statistical processing is used for the user. A search formula creation apparatus 1 that creates a recommended search formula that is a recommended search formula will be described.

  FIG. 1 is a block diagram of a search expression creation device 1 according to the present embodiment. The search formula creation device 1 includes a search history management information storage unit 11, a reception unit 12, a current environment information acquisition unit 13, a statistical processing unit 14, a statistical processing information storage unit 15, a recommended search formula creation unit 16, an output unit 17, and a search. A target information storage unit 18, a search unit 19, and an accumulation unit 20 are provided.

  The search history management information storage unit 11 stores one or more search history management information. The search history management information is information for managing a so-called search history. The search history management information is information in which an execution search expression and selection result information are associated with each other.

  The execution search formula is a search formula used for the search. The execution search formula is usually a search formula having one or more search conditions. In addition, it is preferable that the execution search formula usually has two or more search conditions. The search condition is, for example, a condition including an attribute to be searched, an attribute value corresponding to the attribute, and a relational operator indicating a relationship between the attribute and the attribute value. The attribute does not matter. The attributes are, for example, genre, budget, number of people, nearest station, walking time from the nearest station, distance from the nearest station, business hours, and the like. The attribute value may be specific information indicating the content of the attribute. For example, attribute values corresponding to “genre” are, for example, “Japanese food”, “French”, “Izakaya”, and the like. For example, attribute values corresponding to “budget” are, for example, “4000 yen”, “5000 yen”, “6000 yen”, and the like. The relational operators are, for example, “<”, “>”, “≦”, “≧”, “=”, “≠”, and the like. When there are two or more search conditions, the search formula is a combination of the two or more search conditions. The combination is usually a logical product (AND). The combination may be a logical sum (OR), for example.

  From the above, the search formula is, for example, (A) “Genre = Izakaya”, (B) “(Genre = French) & (Budget ≦ 5000 Yen)”, (C) “Genre = (French or Italian)”, etc. It is. The search expression (A) means that the genre is a tavern. The search formula (B) means that the genre is French and the budget is 5000 yen or less. The search formula (C) means that the genre is French or Italian.

  The selection result information is information selected by the user from information searched by the execution search formula. The selection result information included in one search history management information is usually 1 or more. In addition, the information to be searched by the execution search expression is hereinafter referred to as search target information as appropriate. In addition, the information searched by the execution search formula is hereinafter referred to as search result information as appropriate. That is, the search result information is a part of the search target information. The selection result information is a part of the search result information. The “part” usually means a subset. Accordingly, the data structures of the search target information, search result information, and selection result information are usually the same.

  The search target information usually has one or more attributes and attribute values corresponding to the one or more attributes. The search target information is usually information related to a store (restaurant). Further, the search target information may be, for example, information related to automobiles, motorcycles, so-called home appliances, and the like. That is, for example, in the case of information about a store, the search target information usually has one or more attributes about the store and attribute values corresponding to the one or more attributes. In addition, for example, in the case of information relating to a car, the search target information usually includes one or more attributes relating to the car and attribute values corresponding to the one or more attributes.

  Further, the search history management information may have the number of searches, for example. The number of searches is the number of search result information searched by the execution search formula. Moreover, when it has the number of searches, the search history management information may have search result information, for example. Moreover, when it has search result information, the information which shows that it is selection result information may be matched with a part of the said search result information, for example. That is, in this case, the selection result information is search result information associated with information indicating selection result information among one or more pieces of search result information. The “information indicating selection result information” is usually a so-called flag.

  The search history management information may include search environment information, for example. The search environment information is information indicating an environment at the time of search by an execution search expression. The environment includes, for example, a place (position), a day of the week, a time zone (time), and weather. Hereinafter, the information indicating the environment is appropriately referred to as environment information.

  The search history management information may include user identification information that is information for identifying a user, for example. The user identification information is, for example, an ID or a so-called user name. Further, the user identification information may be, for example, an identification number of a device (for example, a personal computer or a portable terminal) used by the user.

  Further, the search history management information may not include selection result information, for example. The search history management information means that, for example, the user has not selected any search result information from one or more search result information.

  In addition, the fact that the search history management information includes the number of searches, search environment information, user identification information, and the like may correspond to, for example, search history management information.

  The receiving unit 12 receives one or more search conditions. The accepting unit 12 may accept a search expression having one or more search conditions. Hereinafter, the search formula received by the receiving unit 12 will be appropriately referred to as an input search formula. In addition, receiving one or more search conditions usually means receiving an input search expression. Acceptance refers to acquisition of information input from an input device such as a touch panel or a keyboard, acquisition of information stored in a recording medium such as an optical disk, magnetic disk, or semiconductor memory, via a wired or wireless communication line. It is a concept that includes reception of information transmitted in the same manner.

  In addition, the reception unit 12 may receive user identification information, a search execution instruction, a search result selection instruction, and the like. The search execution instruction is an instruction to perform a search (acquisition of search result information) using an input search expression. The search result selection instruction is an instruction to select selection result information from one or more search result information.

  In addition, the input unit such as information and instructions in the reception unit 12 may be anything such as a menu screen or a keyboard. The accepting unit 12 can be realized by control software for a menu screen, a device driver for input means such as a keyboard, and the like.

  The current environment information acquisition unit 13 acquires current environment information that is information indicating the current environment. The current environmental information is environmental information. Further, the current environment information acquisition unit 13 normally acquires current environment information periodically. The current environment information acquisition unit 13 acquires current environment information from, for example, a so-called GPS receiver, a device that receives standard radio waves, an NTP server, an illuminance sensor, a rain gauge, and the like. In this case, the current environment information acquisition unit 13 may have these devices or may be realized by these devices. Further, the processing procedure of the current environment information acquisition unit 13 is usually realized by software, and the software is recorded on a recording medium such as a ROM.

  The statistical processing unit 14 statistically processes one or more search history management information. Then, the statistical processing unit 14 acquires one or more pieces of statistical processing information that is information related to the result of the statistical processing. Then, the statistical processing unit 14 accumulates the acquired one or more pieces of statistical processing information in the statistical processing information storage unit 15.

Here, the statistical processing is to statistically process an execution search formula included in the search history management information, selection result information included in the search history management information, and the like. Specifically, the statistical processing is, for example, the following processing.
(A) obtaining a combination of two or more search conditions (B) calculating a frequency of a combination of two or more search conditions (C) obtaining a pair of attribute and attribute value (D) attribute and attribute value Calculating the frequency of pairs

  In the above, the frequency is, for example, a number or a ratio.

  For example, statistical processing information relating to a combination of two or more search conditions is, for example, “condition A, condition B”, “condition A, condition C, condition D”, and the like. The statistical processing information includes that the execution search expression has “condition A” and “condition B”, and the execution search expression has “condition A”, “condition C”, and “condition D”. means. The statistical processing information regarding the frequency of the combination is, for example, “condition A, condition B: 3”, “condition A, condition C, condition D: 25%”, and the like. The statistical processing information includes that the number of execution search expressions having “condition A” and “condition B” is three, and execution having “condition A”, “condition C”, and “condition D”. This means that the number of search expressions is 25% of the number of execution search expressions stored in the search history management information storage unit 11. “Condition A” and “Condition B” are search conditions.

  Further, for example, statistical processing information related to attribute / attribute value pairs includes, for example, “attribute A: attribute value a, attribute B: attribute value b”, “attribute A: attribute value a, attribute C: attribute value c, attribute D: attribute value d ”. In the statistical processing information, the selection result information includes “attribute A: attribute value a” and “attribute B: attribute value b”, and the selection result information includes “attribute A: attribute value a” and “attribute C”. : Attribute value c ”and“ attribute D: attribute value d ”. The statistical processing information regarding the frequency of the pair is, for example, “(attribute A: attribute value a): 3, (attribute B: attribute value b): 5”, “(attribute A: attribute value a): 55%. , (Attribute C: attribute value c): 40%, (attribute D: attribute value d): 25% ", and the like. Further, in the statistical processing information, the number of “attribute A: attribute value a” is three, the number of “attribute B: attribute value b” is five, and the search history management information storage unit 11 The number of “attribute A: attribute value a” is 55%, the number of “attribute C: attribute value c” is 40%, and the number of attribute / attribute value pairs stored in “ It means that the number of “attribute D: attribute value d” is 25%.

  For example, when acquiring a combination of two or more search conditions, the statistical processing unit 14 acquires, for example, two or more search conditions included in the execution search expression included in each of the one or more search history management information. At this time, the statistical processing unit 14 does not acquire, for example, overlapping combinations. That is, the statistical processing unit 14 acquires a combination of two or more search conditions while performing so-called unique processing.

  For example, it is assumed that the execution search expression included in one search history management information is “condition A & condition B”. In such a case, for example, the statistical processing unit 14 acquires statistical processing information “condition A, condition B” regarding a combination of two or more search conditions.

  For example, when acquiring a combination of two or more search conditions, the statistical processing unit 14 may acquire, for example, a combination of two or more search conditions common to two or more execution search expressions.

  For example, assume that the first execution search expression is “condition A & condition B & condition C” and the second execution search expression is “condition A & condition B & condition D”. Search conditions common to the first execution search expression and the second execution search expression are “condition A” and “condition B”. Therefore, in such a case, the statistical processing unit 14 acquires, for example, statistical processing information “condition A, condition B” regarding a combination of two or more search conditions.

  For example, when calculating the frequency of the combination of two or more search conditions, the statistical processing unit 14 acquires, for example, two or more search conditions included in the execution search expression included in each of the one or more search history management information. . Then, the statistical processing unit 14 counts the number of execution search expressions having all of the acquired two or more search conditions by using one or more search history management information stored in the search history management information storage unit 11. . Then, the statistical processing unit 14 calculates the frequency of the combination of search conditions using the counted number, the number of search history management information stored in the search history management information storage unit 11, and the like.

For example, when calculating the frequency of a combination of two or more search conditions, the statistical processing unit 14 may calculate the frequency of a combination of two or more search conditions that are common in two or more execution search expressions, for example. . In this case, for example, the statistical processing unit 14 acquires a combination of two or more search conditions that are common in two or more execution search expressions. Then, the statistical processing unit 14, an execution search expression with all of the acquired two or more search conditions, to count using one or more search history management information stored in the search history management information storage unit 11. Then, the statistical processing unit 14 calculates the frequency of the combination of search conditions using the counted number, the number of search history management information stored in the search history management information storage unit 11, and the like.

  For example, it is assumed that three execution search expressions having a search condition combination “condition A, condition B” are stored in the search history management information storage unit 11. In such a case, for example, the statistical processing unit 14 acquires statistical processing information “condition A, condition B: 3” regarding the frequency of combinations of two or more search conditions. In this case, for example, it is assumed that 12 pieces of search history management information are stored in the search history management information storage unit 11. In such a case, for example, the statistical processing unit 14 acquires statistical processing information “condition A, condition B: 25%” regarding the frequency of the combination of two or more search conditions.

  For example, when acquiring a pair of an attribute and an attribute value, the statistical processing unit 14 corresponds to, for example, one or more attributes included in selection result information included in one or more pieces of search history management information and the attribute. Acquires attribute values in association with each other. At this time, the statistical processing unit 14 does not acquire, for example, overlapping pairs. That is, the statistical processing unit 14 acquires a pair of an attribute and an attribute value while performing a so-called unique process.

  For example, it is assumed that one selection result information included in one search history management information has “attribute A: attribute value a”. In such a case, the statistical processing unit 14 acquires statistical processing information “attribute A: attribute value a” regarding the attribute / attribute value pair.

  In addition, for example, when calculating the frequency of an attribute-attribute value pair, the statistical processing unit 14 includes, for example, one or more attributes included in selection result information included in one or more pieces of search history management information, and the attribute. Acquire corresponding attribute values. The statistical processing unit 14 uses the one or more search history management information stored in the search history management information storage unit 11 for the number of attribute / attribute value pairs that are the same as the acquired attribute / attribute value pair. And count. Then, the statistical processing unit 14 calculates the frequency of the attribute / attribute value pair using the counted number or the number of attribute / attribute value pairs stored in the search history management information storage unit 11. .

  For example, it is assumed that three attribute / attribute value pairs “attribute A: attribute value a” are stored in the search history management information storage unit 11. In such a case, for example, the statistical processing unit 14 acquires statistical processing information “(attribute A: attribute value a): 3” regarding the frequency of the attribute / attribute value pair. In this case, for example, it is assumed that the search history management information storage unit 11 stores 12 attribute-attribute value pairs. In such a case, the statistical processing unit 14 acquires, for example, statistical processing information “(attribute A: attribute value a): 25%” regarding the frequency of attribute / attribute value pairs.

  Further, for example, when the search history management information includes the search environment information, the statistical processing unit 14, for example, among the one or more search history management information, the current environment information and a predetermined condition (hereinafter, as appropriate) The statistical processing information may be obtained by statistically processing one or more pieces of search history management information having search environment information that approximates as the environmental condition is satisfied. The environmental conditions include, for example, that the current environment information matches the search environment information, that the current environment indicated by the current environment information includes the environment at the time of search indicated by the search environment information, and the current environment information indicated by the current environment information The environment is included in the search environment indicated by the search environment information.

  In this case, for example, the statistical processing unit 14 acquires the current environment information acquired by the current environment information acquisition unit 13. Then, the statistical processing unit 14 acquires from the search history management information storage unit 11 one or more search history management information having search environment conditions that satisfy the current environment information and the environment conditions. Then, the statistical processing unit 14 performs statistical processing on the acquired one or more search history management information, and acquires statistical processing information.

  Further, for example, when the search history management information has the number of searches, the statistical processing unit 14 is determined in advance among, for example, one or more execution search expressions stored in the search history management information storage unit 11. Statistical processing information may be obtained by statistically processing one or more execution search expressions associated with a smaller number of searches that satisfy a certain condition (hereinafter referred to as a search number condition as appropriate). The search number condition is, for example, that the number of searches is less than or equal to a predetermined threshold, or that the number of searches is smaller than a predetermined threshold. Further, the statistical processing information acquired by the statistical processing is statistical processing information related to the frequency of the combination of search conditions that should not be combined and the combination of search conditions that should not be combined. The statistical processing information is statistical processing information related to a so-called NG pattern.

  In this case, the statistical processing unit 14 acquires, from the search history management information storage unit 11, for example, one or more execution search expressions associated with the number of searches that satisfy the search number condition. Then, the statistical processing unit 14 statistically processes the acquired one or more execution search expressions to acquire statistical processing information.

  Further, for example, when the user identification information is associated with the search history management information, the statistical processing unit 14, for example, displays one or more search history management information associated with the user identification information received by the reception unit 12. Obtained from the search history management information storage unit 11 and statistically processing the obtained one or more search history management information. In this case, for example, the statistical processing unit 14 may statistically process one or more pieces of search history management information associated with the same user identification information for each user identification information. In this case, for example, the statistical processing unit 14 corresponds to the one piece of statistical processing information obtained by identifying the user identification information associated with one or more search history management information used for obtaining one piece of statistical processing information. May be attached.

  Note that the statistical processing information regarding the combination of search conditions will be appropriately referred to as search condition combination information hereinafter. In addition, the statistical processing information regarding the frequency of the combination of search conditions is appropriately referred to as search condition combination frequency information below. Further, the statistical processing information relating to the attribute / attribute value pair will be appropriately referred to as attribute correspondence information hereinafter. Further, the statistical processing information regarding the frequency of the attribute / attribute value pair will be appropriately referred to as attribute correspondence frequency information hereinafter. Further, the statistical processing information relating to the combination of search conditions with a small number of searches will be referred to as minority search condition combination information as appropriate. Further, the statistical processing information regarding the frequency of combinations of search conditions with a small number of searches will be referred to as minority search condition combination frequency information as appropriate.

  The statistical processing information storage unit 15 stores one or more pieces of statistical processing information. For example, user identification information may be associated with the one or more pieces of statistical processing information.

  The recommendation retrieval formula creation unit 16 creates a recommendation retrieval formula. The recommended retrieval formula creation unit 16 usually creates a recommended retrieval formula using statistical processing information stored in the statistical processing information storage unit 15. Further, the recommended search formula creation unit 16 may create a recommended search formula using, for example, statistical processing information acquired by the statistical processing unit 14.

Here, the recommendation retrieval formula is a retrieval formula recommended to the user. Specifically, the recommended search formula is a search formula that satisfies a predetermined condition (hereinafter referred to as a recommended search formula condition as appropriate). The recommended search expression condition is a condition related to a recommended search expression to be created. Specifically, the recommended search expression condition is a condition related to a search condition included in the recommended search expression. That is, the recommended retrieval formula conditions are, for example, the following conditions.
(A) The search condition combination information has a search condition. (B) The search condition combination frequency information has a frequency that is equal to or higher than a predetermined threshold. (C) The attribute and attribute of the attribute correspondence information. (D) Having a search condition composed of attributes and attribute values of attribute-corresponding frequency information whose frequency is greater than or equal to a predetermined threshold (E) Minority search condition combination information (F) Does not have two or more search conditions included in the minority search condition combination information whose frequency is equal to or higher than a predetermined threshold.

  For example, when the recommended search formula condition is the above condition (A), the recommended search formula creation unit 16 combines, for example, two or more search conditions included in the search condition combination information and has the two or more search conditions. Create a recommended search expression. In this case, when the receiving unit 12 receives the input search formula, the recommended search formula creation unit 16 uses the search condition combination information including all the search conditions included in the input search formula, for example. May be created.

  For example, when the recommended search formula condition is the condition (B), the recommended search formula creation unit 16 has, for example, the combination frequency included in the search condition combination frequency information is equal to or higher than a predetermined threshold. Get search condition combination frequency information. Then, the recommended search formula creation unit 16 combines two or more search conditions included in the acquired search condition combination frequency information, and creates a recommended search formula having the two or more search conditions. In this case, when the receiving unit 12 receives the input search formula, the recommended search formula creating unit 16 searches, for example, all search conditions included in the input search formula among the acquired search condition combination frequency information. A recommendation retrieval formula may be created using the condition combination frequency information.

  For example, when the recommended search formula condition is the condition (C), the recommended search formula creation unit 16 obtains, for example, one or more attributes included in the attribute correspondence information and an attribute value corresponding to the attribute. Combine one or more search conditions. Then, the recommended search formula creation unit 16 combines the created one or more search conditions to create a recommended search formula having the one or more attributes and attribute values corresponding to the attributes. Needless to say, when a single search condition is created, a combination of search conditions is not performed.

  For example, when the recommended search formula condition is the condition (D), the recommended search formula creation unit 16 determines, for example, an attribute in which the pair frequency included in the attribute correspondence frequency information is greater than or equal to a predetermined threshold value. Get response frequency information. Then, the recommended search expression creation unit 16 creates one or more search conditions by combining one or more attributes included in the acquired attribute correspondence frequency information and an attribute value corresponding to the attribute. Then, the recommended search formula creation unit 16 combines the created one or more search conditions to create a recommended search formula having the one or more attributes and attribute values corresponding to the attributes. Needless to say, when a single search condition is created, a combination of search conditions is not performed.

  Further, for example, when the recommended search formula condition is the condition (E), the recommended search formula creation unit 16 creates, for example, the minority search condition combination information when creating the recommended search formula by the above-described processing. A recommended search expression that does not have two or more search conditions included in is created.

  For example, in the case of creating a recommended search formula using search condition combination information, it is assumed that the search condition combination information is “condition A, condition B”. Further, it is assumed that the minority search formula combination information is “condition A, condition B”. In such a case, the recommended search formula creation unit 16 does not create a recommended search formula having “condition A” and “condition B”.

  For example, when the recommended search formula condition is the condition (F), the recommended search formula creation unit 16 has, for example, the combination frequency included in the minority search condition combination information is equal to or higher than a predetermined threshold. Get minority search condition combination information. Then, the recommended search formula creation unit 16 creates a recommended search formula that does not have two or more search conditions included in the acquired minority search condition combination information when creating the recommended search formula by the above-described processing.

  For example, in the case of creating a recommended search formula using search condition combination information, it is assumed that the search condition combination information is “condition A, condition B”. Further, it is assumed that the combination frequency included in the minority search expression combination frequency information is equal to or higher than a predetermined threshold. Further, it is assumed that the minority search formula combination frequency information is “condition A, condition B”. In such a case, the recommended search formula creation unit 16 does not create a recommended search formula having “condition A” and “condition B”.

  When two or more search conditions are combined, the recommended search formula creation unit 16 normally combines the two or more search conditions by logical product (AND). For example, when “Condition A” and “Condition B” are combined, the recommendation retrieval formula creating unit 16 creates the recommendation retrieval formula “Condition A & Condition B”.

  In addition, when two or more search conditions to be combined have common attributes, the recommended search formula creation unit 16 normally combines the attribute values of the two or more search conditions by a logical sum (OR). For example, when “genre = izakaya” and “genre = creative dish” are combined, the recommended search formula creation unit 16 creates a recommended search formula “genre = (pub / or creative dish)”.

  For example, when user identification information is associated with statistical processing information, the recommended search formula creation unit 16 uses, for example, one or more statistical processing information associated with user identification information received by the reception unit 12. To create a recommended search formula.

  The output unit 17 outputs the recommendation retrieval formula created by the recommendation retrieval formula creation unit 16. Output refers to display on a display, projection using a projector, printing on a printer, sound output, transmission to an external device, storage on a recording medium, processing results to other processing devices or other programs, etc. It is a concept that includes delivery. In addition, regarding transmission, accumulation, and delivery of processing results, an output target is finally presented to the user. Moreover, the output part 17 may output search result information, selection result information, etc., for example.

  Further, the output unit 17 may or may not include an output device such as a display or a speaker. The output unit 17 can be realized by driver software of an output device or driver software of an output device and an output device.

  The search target information storage unit 18 stores one or more search target information.

  The search unit 19 normally searches for one or more search target information stored in the search target information storage unit 18 using the input search formula received by the reception unit 12, and one or more searches as a result of the search. Get result information. In other words, the search unit 19 normally uses one or more search target information received by the receiving unit 12 to search for one or more search target information satisfying the condition indicated by the input search formula from the one or more search target information. Get result information. The search unit 19 may search for one or more pieces of search target information stored in the search target information storage unit 18 using the recommended search formula created by the recommended search formula creation unit 16, for example. In addition, performing a search using the recommended search formula created by the recommended search formula creation unit 16 is to reflect the recommended search formula in a so-called search result.

  Note that the timing for performing the search using the input search formula is, for example, immediately after the receiving unit 12 receives the search execution instruction in a state where the receiving unit 12 has received the input search formula. The “immediately after the reception unit 12 receives a search execution instruction” includes “every time the reception unit 12 receives a search execution instruction”.

  Also, the timing for performing the search using the recommended search formula is, for example, immediately after the recommended search formula creating unit 16 creates the recommended search formula in a state where the receiving unit 12 has received the search execution instruction.

  Further, for example, when the search by the input search formula is performed in the state where the recommended search formula creation unit 16 has already created the recommended search formula, the search unit 19 obtains the result of the search by the input search formula, for example. A search using a recommended search formula may be performed on the one or more search result information. In this case, when the recommended search formula is 2 or more, the search unit 19 performs a search using each of the two or more recommended search formulas. Further, the output unit 17 outputs the search result information acquired for each of the two or more searches in the order of the search.

  Note that methods and procedures for searching for information using a search formula are well known, and thus detailed description thereof is omitted.

  The storage unit 20 acquires one or more selection result information that is search result information selected by the search result selection instruction received by the receiving unit 12 from the one or more search result information. Then, the storage unit 20 creates search history management information by associating the execution search formula that is the input search formula used by the search unit 19 with the search and the acquired one or more selection result information. At this time, for example, the storage unit 20 may create the search history management information by associating the current environment information acquired by the current environment information acquisition unit 13 as the search environment information. At this time, the storage unit 20 may associate the user identification information received by the receiving unit 12 with the created search history management information. Then, the current environment information acquisition unit 13 accumulates the created search history management information in the search history management information storage unit 11. Further, the storage unit 20 usually acquires the search result information selected by the user as the selection result information after the search unit 19 performs one search until the next search is performed, and the acquired search result The search history management information is created using the information.

  The search history management information storage unit 11, the statistical processing information storage unit 15, and the search target information storage unit 18 are preferably non-volatile recording media, but can also be realized by volatile recording media. Further, the process of storing predetermined information in the search history management information storage unit 11 or the like is not limited. For example, the predetermined information may be stored in the search history management information storage unit 11 or the like via a recording medium, a communication line, an input device, or the like.

  In addition, the statistical processing unit 14, the recommended search formula creation unit 16, the search unit 19, and the storage unit 20 can be usually realized by an MPU, a memory, or the like. In addition, the processing procedure of the recommendation retrieval formula creation unit 16 and the like is usually realized by software, and the software is recorded on a recording medium such as a ROM. Note that the recommendation retrieval formula creation unit 16 and the like may be realized by hardware (dedicated circuit).

  Next, the overall operation of the retrieval formula creation device 1 will be described using a flowchart. Note that the i-th information in the predetermined information is described as “information [i]”. FIG. 2 is a flowchart showing the overall operation of the retrieval formula creation apparatus 1.

  (Step S201) The current environment information acquisition unit 13 starts acquiring the current environment information.

  (Step S202) The statistical processing unit 14 determines whether or not the receiving unit 12 has received user identification information. If accepted, the process proceeds to step S203, and if not, the process proceeds to step S202.

  (Step S203) The statistical processing unit 14 acquires one or more search history management information associated with the user identification information received in step S202 from the search history management information storage unit 11.

  (Step S204) The statistical processing unit 14 performs statistical processing on the search history management information acquired in step S203, and acquires statistical processing information. The statistical processing unit 14 accumulates the clock processing information in the statistical processing information storage unit 15.

  (Step S205) The recommended search formula creation unit 16 determines whether the receiving unit 12 has received an input search formula. If accepted, the process proceeds to step S206; otherwise, the process proceeds to step S208.

  (Step S206) The recommended search formula creation unit 16 determines whether or not to create a recommended search formula. For example, information indicating whether or not to create a recommended search formula is stored in a predetermined storage area in response to the reception of the input search formula by the receiving unit 12 and is performed using the information. . If a recommended search expression is to be created, the process proceeds to step S207. If not, the process proceeds to step S210.

  (Step S207) The recommended search formula creation unit 16 creates a recommended search formula using the input search formula received in step S205 and the statistical processing information acquired in step S204.

  (Step S208) The recommended search formula creation unit 16 creates a recommended search formula using the statistical processing information acquired in step S204.

  (Step S209) The output unit 17 outputs the recommended retrieval formula created in step S207 or step S208.

  (Step S210) The search unit 19 determines whether or not the reception unit 12 has received a search execution instruction. If accepted, the process proceeds to step S211; otherwise, the process returns to step S205.

  (Step S211) The search unit 19 searches the search target information based on the input search formula received in Step S205, the recommended search formula created in Step S207, or the recommended search formula created in Step S208. Get search result information for.

  (Step S212) The output unit 17 outputs one or more search result information acquired in step S211.

  (Step S213) The storage unit 20 determines whether the receiving unit 12 has received a search result selection instruction. If accepted, the process proceeds to step S214; otherwise, the process returns to step S205.

  (Step S214) The storage unit 20 acquires the search result information selected by the search result selection instruction received in Step S213 as selection result information.

  (Step S215) The storage unit 20 creates search history management information by associating the search formula used in Step S211 with the selection result information acquired in Step S214.

  (Step S216) The storage unit 20 stores the search history management information created in step S215 in the search history management information storage unit 11. Then, the process returns to step S202.

  In the flowchart of FIG. 2, the process may be terminated by powering off or a process termination interrupt.

  FIG. 3 is a flowchart showing an operation in the case of acquiring search condition combination information in the statistical processing information acquisition process of step S204 in the flowchart of FIG. In the flowchart of FIG. 3, it is assumed that the search history management information storage unit 11 stores m pieces of search history management information.

  (Step S301) The statistical processing unit 14 sets 1 to the counter i.

  (Step S302) The statistical processing unit 14 determines whether the number [i] of search conditions, which is the number of search conditions included in the execution search expression included in the search history management information [i], is 2 or more. If it is 2 or more, the process proceeds to step S303, and if not, the process proceeds to step S306.

  (Step S303) The statistical processing unit 14 acquires two or more search conditions included in the execution search expression included in the search history management information [i].

  (Step S304) The statistical processing unit 14 determines whether or not a combination of two or more search conditions acquired in step S303 is included in the list [] that is an array for storing search condition combination information. If it is included, the process proceeds to step S306. If not, the process proceeds to step S305.

  (Step S305) The statistical processing unit 14 adds a combination of two or more search conditions acquired in step S303 to list [].

  (Step S306) The statistical processing unit 14 determines whether i is m. If it is m, the process returns to the upper process, and if not, the process proceeds to step S307.

  (Step S307) The statistical processing unit 14 increments i by 1. Then, the process returns to step S302.

  FIG. 4 is a flowchart showing an operation in the case of acquiring search condition combination frequency information in the statistical processing information acquisition process of step S204 in the flowchart of FIG. In the flowchart of FIG. 4, it is assumed that the search history management information storage unit 11 stores m pieces of search history management information.

  (Step S401) The statistical processing unit 14 sets 1 to the counter i.

  (Step S402) The statistical processing unit 14 determines whether or not the number [i] of search conditions, which is the number of search conditions included in the execution search expression included in the search history management information [i], is 2 or more. If it is two or more, the process proceeds to step S403, and if not, the process proceeds to step S409.

  (Step S403) The statistical processing unit 14 acquires two or more search conditions included in the execution search expression included in the search history management information [i].

  (Step S404) The statistical processing unit 14 determines whether or not the list [], which is an array for storing search condition combination frequency information, includes a combination of two or more search conditions acquired in step S403. If included, the process proceeds to step S405, and if not, the process proceeds to step S407.

  (Step S405) The statistical processing unit 14 acquires an index number of list [] corresponding to a combination of two or more search conditions acquired in step S403, and sets the index number in a variable index.

  (Step S406) The statistical processing unit 14 increments a variable count associated with list [index] by one. The count is a variable for counting the number of combinations of two or more search conditions.

  (Step S407) The statistical processing unit 14 adds a combination of two or more search conditions acquired in step S403 to list [].

  (Step S408) The statistical processing unit 14 sets 1 to a variable count associated with list [MAX]. The “MAX” is a variable indicating the maximum index number of list [].

  (Step S409) The statistical processing unit 14 determines whether i is m. When it is m, it returns to a high-order process, and when that is not right, it progresses to step S410.

  (Step S410) The statistical processing unit 14 increments i by 1. Then, the process returns to step S402.

  FIG. 5 is a flowchart showing an operation in the case of acquiring attribute correspondence information in the statistical processing information acquisition processing in step S204 of the flowchart of FIG. In the flowchart of FIG. 5, it is assumed that m pieces of search history management information are stored in the search history management information storage unit 11.

  (Step S501) The statistical processing unit 14 sets 1 to the counter i.

  (Step S502) The statistical processing unit 14 counts the number of one or more attribute / attribute value pairs included in the one or more selection result information included in the search history management information [i], and sets the number to the variable n. To do.

  (Step S503) The statistical processing unit 14 sets 1 to the counter j.

  (Step S504) The statistical processing unit 14 acquires an attribute-attribute value pair [j] included in the selection result information [i].

  (Step S505) The statistical processing unit 14 determines whether or not the attribute [attribute] pair [j] acquired in step S504 is included in the list [] that is an array for storing attribute correspondence information. If it is included, the process proceeds to step S507; otherwise, the process proceeds to step S506.

  (Step S506) The statistical processing unit 14 adds the attribute / attribute value pair [j] acquired in step S504 to list [].

  (Step S507) The statistical processing unit 14 determines whether j is n. When it is n, it progresses to step S509, and when that is not right, it progresses to step S508.

  (Step S508) The statistical processing unit 14 increments j by 1. Then, the process returns to step S504.

  (Step S509) The statistical processing unit 14 determines whether i is m. When it is m, it returns to a high-order process, and when that is not right, it progresses to step S510.

  (Step S510) The statistical processing unit 14 increments i by 1. Then, the process returns to step S502.

  FIG. 6 is a flowchart showing an operation when attribute correspondence frequency information is acquired in the statistical processing information acquisition process of step S204 of the flowchart of FIG. In the flowchart of FIG. 6, it is assumed that the search history management information storage unit 11 stores m pieces of search history management information.

  (Step S601) The statistical processing unit 14 sets 1 to the counter i.

  (Step S602) The statistical processing unit 14 counts the number of one or more attribute / attribute value pairs included in the one or more selection result information included in the search history management information [i], and sets the number to the variable n. To do.

  (Step S603) The statistical processing unit 14 sets 1 to the counter j.

  (Step S604) The statistical processing unit 14 acquires an attribute-attribute value pair [j] included in the selection result information [i].

  (Step S605) The statistical processing unit 14 determines whether or not the attribute [attribute] pair [j] acquired in step S604 is included in the list [] that is an array for storing attribute correspondence frequency information. If it is included, the process proceeds to step S606, and if not, the process proceeds to step S607.

  (Step S606) The statistical processing unit 14 acquires the index number of list [] corresponding to the attribute-attribute value pair [j] acquired in step S604, and sets the index number in the variable index.

  (Step S607) The statistical processing unit 14 increments the variable count associated with the list [index] by one. The count is a variable for counting the number of attribute-attribute value pairs.

  (Step S608) The statistical processing unit 14 adds the attribute / attribute value pair [j] acquired in step S604 to list [].

  (Step S609) The statistical processing unit 14 sets 1 to a variable count associated with list [MAX]. The “MAX” is a variable indicating the maximum index number of list [].

  (Step S610) The statistical processing unit 14 determines whether j is n. When it is n, it progresses to step S612, and when that is not right, it progresses to step S611.

  (Step S611) The statistical processing unit 14 increments j by 1. Then, the process returns to step S604.

  (Step S612) The statistical processing unit 14 determines whether i is m. If m, the process returns to the upper process, and if not, the process proceeds to step S613.

  (Step S613) The statistical processing unit 14 increments i by 1. Then, the process returns to step S602.

  FIG. 7 is a flowchart showing an operation when acquiring minority search condition combination information in the statistical processing information acquisition process of step S204 of the flowchart of FIG. In the flowchart of FIG. 7, it is assumed that the search history management information storage unit 11 stores m pieces of search history management information.

  (Step S701) The statistical processing unit 14 sets 1 to the counter i.

  (Step S702) The statistical processing unit 14 determines whether or not the number [i] of search conditions, which is the number of search conditions included in the execution search expression included in the search history management information [i], is 2 or more. If it is two or more, the process proceeds to step S703, and if not, the process proceeds to step S707.

  (Step S703) The statistical processing unit 14 determines whether or not the number of searches included in the search history management information [i] satisfies a search number condition. When it satisfies, it progresses to step S704, and when that is not right, it progresses to step S707.

  (Step S704) The statistical processing unit 14 acquires two or more search conditions included in the execution search expression included in the search history management information [i].

  (Step S705) The statistical processing unit 14 determines whether or not a combination of two or more search conditions acquired in step S704 is included in the list [] that is an array storing the minority search condition combination information. If it is included, the process proceeds to step S707, and if not, the process proceeds to step S706.

  (Step S706) The statistical processing unit 14 adds a combination of two or more search conditions acquired in step S704 to list [].

  (Step S707) The statistical processing unit 14 determines whether i is m. If m, the process returns to the upper process, and if not, the process proceeds to step S708.

  (Step S708) The statistical processing unit 14 increments i by 1. Then, the process returns to step S702.

  FIG. 8 is a flowchart showing an operation when acquiring minority search condition combination frequency information in the statistical processing information acquisition processing of step S204 in the flowchart of FIG. In the flowchart of FIG. 8, it is assumed that the search history management information storage unit 11 stores m pieces of search history management information.

  (Step S801) The statistical processing unit 14 sets 1 to the counter i.

  (Step S802) The statistical processing unit 14 determines whether or not the number [i] of search conditions, which is the number of search conditions included in the execution search expression included in the search history management information [i], is 2 or more. If it is 2 or more, the process proceeds to step S803, and if not, the process proceeds to step S810.

  (Step S803) The statistical processing unit 14 determines whether or not the number of searches included in the search history management information [i] satisfies a search number condition. When it satisfies, it progresses to step S804, and when that is not right, it progresses to step S810.

  (Step S804) The statistical processing unit 14 acquires two or more search conditions included in the execution search expression included in the search history management information [i].

  (Step S805) The statistical processing unit 14 determines whether or not two or more combinations of search conditions acquired in step S804 are included in the list [] that is an array for storing the minority search condition combination frequency information. If included, the process proceeds to step S806, and if not, the process proceeds to step S808.

  (Step S806) The statistical processing unit 14 acquires the index number of list [] corresponding to the combination of two or more search conditions acquired in step S804, and sets the index number in the variable index.

  (Step S807) The statistical processing unit 14 increments the variable count associated with list [index] by one. The count is a variable for counting the number of combinations of two or more search conditions with a small number of searches.

  (Step S808) The statistical processing unit 14 adds a combination of two or more search conditions acquired in step S804 to list [].

  (Step S809) The statistical processing unit 14 sets 1 to a variable count associated with list [MAX]. The “MAX” is a variable indicating the maximum index number of list [].

  (Step S810) The statistical processing unit 14 determines whether i is m. If m, the process returns to the upper process, and if not, the process proceeds to step S811.

  (Step S811) The statistical processing unit 14 increments i by 1. Then, the process returns to step S802.

  The overall operation of the search expression creation device 1 described above is merely an example. That is, the overall operation of the search expression creation device 1 is not limited to the above description.

(Concrete example)
Next, a specific example of the operation of the search expression creation device 1 will be described. In this specific example, the search formula creation device 1 creates a search formula for searching for restaurant information in a so-called restaurant search site (hereinafter referred to as a gourmet site as appropriate). Further, it is assumed that the search history management information storage unit 11 stores the search history management information shown in FIG. The search history management information includes an ID for uniquely identifying a record, an execution search expression (item name: search expression), one or more selection result information (item name: selection 1, selection 2, selection 3), And user identification information (item name: user). Each of the one or more selection result information has one or more attributes and an attribute value corresponding to the attribute.

(Example 1)
In this example, an example in which a recommended search formula is created and output using search condition combination frequency information that is statistical processing information will be described.

  First, it is assumed that a user accesses a gourmet site using a PC or a mobile terminal. And suppose that the user logged into the gourmet site. It is assumed that the user inputs user identification information “UserA” and a password when logging in. Then, the reception unit 12 receives the user identification information “UserA” and the password.

  Next, the statistical processing unit 14 acquires the search history management information of “ID = 011”, “ID = 012”, and “ID = 013” having the user identification information “UserA” from the search history management information of FIG. To do.

  Next, the statistical processing unit 14 statistically processes the execution search formulas included in the acquired three search history management information, and acquires, for example, search condition combination frequency information. Then, the statistical processing unit 14 accumulates the acquired search condition combination frequency information in the statistical processing information storage unit 15. The acquired search condition combination frequency information is, for example, as shown in FIG. The search condition combination frequency information includes an ID for uniquely identifying a record, two or more search conditions (item name: condition combination), and a frequency.

  Further, for example, the statistical processing unit 14 may periodically perform statistical processing on one or more search history management information associated with the same user identification information to obtain statistical processing information. In this case, statistical processing information that is a result of statistical processing of the search history management information associated with the user identification information “UserA” is, for example, FIG.

  Next, the recommended search formula creation unit 16 acquires search condition combination frequency information whose frequency is equal to or higher than a predetermined threshold from the search condition combination frequency information of FIG. Here, it is assumed that the threshold value is “20%”. Then, the recommended search formula creation unit 16 acquires search condition combination frequency information of “ID = 011” and “ID = 013” in FIG.

  Next, assume that the user selects one search condition at the gourmet site. The state at this time is, for example, FIG. Then, the reception unit 12 receives an input search expression having the search condition “genre = izakaya” selected in FIG.

  Next, the recommended search formula creation unit 16 obtains the search condition combination frequency information of “ID = 011” in FIG. 10 having the search condition “genre = izakaya” in the input search formula received by the receiving unit 12 first. Obtained from the three search condition combination frequency information obtained above.

  Next, the recommended search formula creation unit 16 combines the two search conditions included in the acquired search condition combination frequency information of “ID = 011” to generate a recommended search formula “(Genre = Izakaya) & (Budget ≦ 4000 yen). ".

  Next, the output unit 17 outputs the recommended search formula “(genre = izakaya) & (budget ≦ 4000 yen)”. The situation at this time is, for example, FIG. In FIG. 12, two search conditions of the recommended search formula are selected.

(Example 2)
In this example, an example in which a recommendation retrieval formula is created and output using attribute correspondence frequency information that is statistical processing information will be described.

  First, as in Example 1, the user logs in to the gourmet site, and then the statistical processing unit 14 has the same user identification information as the user identification information received by the receiving unit 12 from the search history management information of FIG. It is assumed that search history management information has been acquired.

  Next, the statistical processing unit 14 statistically processes one or more selection result information included in the acquired search history management information, and acquires, for example, attribute correspondence frequency information. The acquired attribute correspondence frequency information is assumed to be, for example, FIG. The attribute correspondence frequency information includes an ID for uniquely identifying a record, an attribute, an attribute value corresponding to the attribute, and a frequency.

  Next, the recommended retrieval formula creation unit 16 acquires attribute correspondence frequency information whose frequency is equal to or higher than a predetermined threshold from the attribute correspondence frequency information of FIG. Here, it is assumed that the threshold value is “10%”. Then, the recommended retrieval formula creation unit 16 acquires the attribute correspondence frequency information of “ID = 011”, “ID = 012”, “ID = 014”, and “ID = 015” in FIG.

Next, the recommended search expression creation unit 16 creates a search condition by combining the attributes and attribute values of the acquired four attribute correspondence frequency information with a relational operator. At this time, it is assumed that the recommended retrieval formula creation unit 16 holds one or more relational operators in advance. The combined relational operators, for example, assumed that the predetermined Me pre for each attribute. Then, the recommended search formula creation unit 16 calculates the recommended search formula “(Genre = Izakaya) & (Budget ≦ 4000 Yen) & (Nearest Station = ○ □ Station) & (Time from Nearest Station ≦ 10 Minutes)”. create.

  Next, the output unit 17 outputs the recommended search formula “(genre = Izakaya) & (budget ≦ 4000 yen) & (nearest station = ○ □ station) & (time from nearest station ≦ 10 minutes)”. . The state at this time is, for example, FIG. In FIG. 14, four search conditions included in the recommended search formula are selected.

(Example 3)
In this example, an example of creating a recommended search formula using the minority search condition combination frequency information will be described. In this example, it is assumed that the search history management information in FIG. 9 has the number of searches. The search number condition is assumed to be “number of searches ≦ 1”.

  First, the statistical processing unit 14 acquires one or more search history management information satisfying the search number condition “search number ≦ 1” from the search history management information in FIG. 9.

  Next, the statistical processing unit 14 statistically processes the acquired one or more search history management information, and acquires, for example, minority search condition combination frequency information. The acquired minority search condition combination frequency information is, for example, as shown in FIG. The minority search condition combination frequency information includes an ID for uniquely identifying a record, two or more search conditions (item name: condition combination), and a frequency.

  Next, the recommended search formula creation unit 16 acquires minority search condition combination frequency information whose frequency is equal to or higher than a predetermined threshold from the minority search condition combination frequency information of FIG. Here, it is assumed that the threshold value is “20%”. Then, the recommended search formula creation unit 16 acquires minority search condition combination frequency information of “ID = 011” and “ID = 013” in FIG.

  Here, it is assumed that the recommended search formula creation unit 16 creates the recommended search formula “(genre = yaki) & (budget ≦ 5000 yen) & (closest station = Δ □ station)”. The recommended search formula includes two search conditions “(Genre = Yakiniku)” and “(Nearest station = Δ □ station) included in the minority search condition combination frequency information of“ ID = 013 ”in FIG. 15 acquired above. Is included. Therefore, the recommendation retrieval formula creation unit 16 deletes the created recommendation retrieval formula. Note that deleting the recommendation retrieval formula may mean that the output unit 17 does not output the recommendation retrieval formula.

  Further, for example, when the statistical processing unit 14 acquires the minority search condition combination information or the minority search expression combination frequency information, the output unit 17, for example, according to the minority search condition combination information or the minority search expression combination frequency information, The configuration of the screen that is output for the user to select the search condition may be changed. Changing the configuration of the screen includes, for example, deleting a selection item (search condition selected by the user), hiding it, or graying it out.

  For example, it is assumed that the minority search formula combination information is “(genre = barbecue), (budget ≦ 3000 yen)”. In this case, it is assumed that the user selects “genre = barbecue” on the screen of FIG. In such a case, the output unit 17 may delete “4000 yen or less” in the “budget” column from the screen of FIG. In such a case, the output unit 17 hides “4000 yen or less” in the “budget” column on the screen of FIG. In such a case, the output unit 17 grays out “4000 yen or less” in the “budget” column on the screen of FIG.

(Example 4)
In this example, an example of storing search history management information will be described.

  First, it is assumed that the recommended search formula output by the output unit 17 is an input search formula, and the user clicks a “search” button on the gourmet site. Then, the reception unit 12 receives a search execution instruction. In addition, the input retrieval formula is assumed to be “(Genre = Izakaya) & (Budget ≦ 4000 Yen) & (Nearest Station = ○ □ Station)”.

  Next, the search unit 19 searches the search target information by the input search formula “(genre = izakaya) & (budget ≦ 4000 yen) & (closest station = ○ □ station)”, and one or more search result information To get. It is assumed that the search target information is stored in the search target information storage unit 18. Then, the output unit 17 outputs the one or more search result information. The state at this time is, for example, FIG. In FIG. 16, a part of information included in the one or more pieces of search result information is output.

  Next, assume that the user selects some of the search result information output in FIG. 16 in order to display so-called details. The “selection” includes, for example, clicking a hyperlink for displaying so-called details, or clicking a button for displaying so-called details. Then, the storage unit 20 acquires the selected search result information as selection result information for each selection.

  Next, it is assumed that the user transitions to a screen for selecting a new search condition (input a new input search expression) on the gourmet site. Then, the storage unit 20 uses the input search formula “(Genre = Izakaya) & (Budget ≦ 4000 Yen) & (Nearest Station = ○ □ Station)” as an execution search formula and corresponds to one or more acquired selection result information. Create search history management information. The search history management information is, for example, FIG. The search history management information includes user identification information (item name: user), execution search expression (item name: search expression), three selection result information (item name: selection 1, selection 2, selection 3), and Have

  Next, the storage unit 20 stores the created search history management information of FIG. 17 in the search history management information storage unit 11.

(Example 5)
In this example, an example in which statistical processing information is reflected in a search result (an example in which a search is performed using a recommended search formula) will be described.

  First, it is assumed that the statistical processing unit 14 acquires the statistical processing information of FIG. 18 and accumulates it in the statistical processing information storage unit 15. The statistical processing information is search condition combination frequency information. The search condition combination frequency information includes an ID for uniquely identifying a record, two or more search conditions (item name: condition combination), and a frequency.

  Next, it is assumed that the user selects one search condition at the gourmet site as shown in FIG. Then, the reception unit 12 receives an input search expression having the search condition “genre = izakaya” selected in FIG. Then, it is assumed that the user clicks a “search” button on the gourmet site. Then, the reception unit 12 receives a search execution instruction.

  Next, the recommended search expression creation unit 16 has the search condition combination frequency information “(genre = izakaya), (budget ≦ 3000 yen)” of “ID = 011” in FIG. 18 having the search condition “genre = izakaya”, The search condition combination frequency information “(Genre = Izakaya), (Nearest station = ○ □ station)” of “ID = 012” in FIG. 18 is acquired.

  Next, the recommended search formula creation unit 16 uses each of the acquired two search condition combination frequency information to generate two recommended search formulas “(Genre = Izakaya) & (Budget ≦ 3000 Yen)”, “(Genre = Izakaya) & (Nearest station = ○ □ station) ".

  Next, the search unit 19 searches the search target information using the two recommended search formulas created by the recommended search formula creation unit 16. Here, in FIG. 18, the frequency of the search condition combination frequency information used by the recommended search formula creation unit 16 to create two recommended search formulas is “ID = 012” in FIG. 18 rather than “ID = 012” in FIG. “011” is higher. Accordingly, the search unit 19 first searches using the recommended search formula “(Genre = Izakaya) & (Budget ≦ 3000 Yen)” created using the search condition combination frequency information of “ID = 011” in FIG. The target information is searched, and search result information that matches the recommended search formula is acquired. Then, the search unit 19 uses the recommended search expression “(Genre = Izakaya) & (Nearest station = ○ □ station)” created using the search condition combination frequency information of “ID = 012” in FIG. The search target information is searched to acquire search result information that matches the recommended search formula.

  Next, the output unit 17 acquires the search result information in the order in which the search unit 19 acquires the search result information. That is, the output unit 17 follows the search result information that matches the recommended search formula “(Genre = Izakaya) & (budget ≦ 3000 yen)”, followed by the recommended search formula “(Genre = Izakaya) & (Nearest station = ○ The search result information that matches “□ station)” is output.

  Since an example of acquiring statistical processing information other than the statistical processing information described in this specific example and an example of creating a recommended search formula using the statistical processing information are the same as described in this specific example, Description is omitted.

  As described above, according to the search expression creation device 1 according to the present embodiment, the search expressions that can be used by the user according to the search conditions used by the user in the past, the search results selected by the user from the search results, and the like. Can be created automatically. That is, according to the search formula creation device 1 according to the present embodiment, for example, a search formula often used by the user can be presented to the user before the user inputs the search formula. Thereby, the user can save the trouble of inputting frequently used search expressions.

  In addition, according to the search formula creation device 1 according to the present embodiment, a threshold value with a predetermined number of searches is created by creating a recommended search formula using minority search condition combination information or minority search condition combination frequency information. It is possible to prevent the following search expression (for example, a search expression in which the number of searches is 0) from being created. Thereby, it is possible to prevent the user from inputting a search expression in which the number of searches is equal to or less than a predetermined threshold.

  Further, according to the search formula creation device 1 according to the present embodiment, by performing a search using the created recommended search formula, for example, the search result intended by the user is presented to the user without the user inputting the search formula. can do.

  Further, according to the search expression creation device 1 according to the present embodiment, attribute values corresponding to two or more different attributes can be presented to the user.

  Further, according to the search expression creating apparatus 1 according to the present embodiment, a recommended search expression having n + 1 or more search conditions can be created for an input search expression having n search conditions.

  In the present embodiment, the search history management information may include date / time information indicating the date / time. Having the date / time information may correspond to, for example, search history management information. In this case, for example, the statistical processing unit 14 may statistically process one or more search history management information satisfying a predetermined date and time indicated by the date and time information, and obtain statistical processing information.

  Moreover, in this Embodiment, the timing (timing which acquires statistical process information) which the statistical processing part 14 performs a statistical process does not ask | require. The timing may be, for example, immediately after the reception unit 12 receives user identification information, or may be immediately after the reception unit 12 receives an input search expression having one or more search conditions. The timing may be immediately after the storage unit 20 stores the search history management information in the search history management information storage unit 11 or may be periodic. In addition, the “immediately after the reception unit 12 receives an input search expression having one or more search conditions” includes, for example, “every time the reception unit 12 receives an input search expression having one or more search conditions”. .

  Further, in the present embodiment, the timing at which the recommended search formula creation unit 16 creates the recommended search formula does not matter. The timing may be, for example, immediately after the reception unit 12 receives user identification information, or may be immediately after the reception unit 12 receives an input search expression having one or more search conditions.

  Moreover, in this Embodiment, the statistics process part 14 may acquire the search conditions and its frequency which an execution search formula has, for example. In this case, the recommended search formula creation unit 16 creates a recommended search formula having one search condition with the highest frequency, for example. In this case, for example, the recommended search formula creating unit 16 may create a recommended search formula having one or more search conditions whose frequency is equal to or higher than a predetermined threshold.

  In addition, the search expression creation device in each of the above embodiments may be, for example, a stand-alone device or a server device in a server / client system.

  In each of the above embodiments, each process or each function may be realized by centralized processing by a single device or a single system, or distributed by a plurality of devices or a plurality of systems. It may be realized by being processed.

  In each of the above embodiments, each component may be configured by dedicated hardware, or a component that can be realized by software may be realized by executing a program. For example, each component can be realized by a program execution unit such as a CPU reading and executing a software program recorded on a recording medium such as a hard disk or a semiconductor memory.

  Moreover, the software which implement | achieves the search formula preparation apparatus in each said embodiment is the following programs, for example. That is, this program has a search condition having one or more search conditions composed of an attribute to be searched, an attribute value corresponding to the attribute, and a relational operator indicating a relationship between the attribute and the attribute value. An execution search expression that is an expression, information that is selected by the user from information searched by the execution search expression, and that has one or more attributes and attribute values corresponding to the one or more attributes. A computer accessible to a statistical processing information storage unit storing one or more statistical processing information that is information indicating a result of statistical processing of one or more search history management information that is information associated with selection result information; Using the statistical processing information, a recommended search formula creating unit that creates a recommended search formula that is a search formula that satisfies a predetermined condition, and an output unit that outputs the recommended search formula created by the recommended search formula creating unit; Is a program for making the function Te.

  In the program, the functions realized by the program do not include functions that can be realized only by hardware.

  The program may be executed by being downloaded from a server or the like, or a program recorded on a predetermined recording medium (for example, an optical disk such as a CD-ROM, a magnetic disk, a semiconductor memory, or the like) is read out. May be executed. Further, this program may be used as a program constituting a program product.

  Moreover, the computer which performs the said program may be single, and plural may be sufficient as it. That is, centralized processing may be performed, or distributed processing may be performed.

  FIG. 19 is a schematic diagram of a computer system 9 that executes the above-described program and realizes the search expression creation device and the like of the above-described embodiment. The above-described embodiments can be realized by computer hardware and a computer program executed thereon.

  In FIG. 19, the computer system 9 includes a computer 901 including a CD-ROM drive 9011, a keyboard 902, a mouse 903, and a monitor 904.

FIG. 20 is a block diagram of the computer system 9. In Figure 20, the computer 901 includes, in addition to the CD-ROM drive 9011, and MPU90 12, a ROM 90 13 for storing a program such as a startup program is connected to the MPU90 12, temporarily the command of an application program comprises a RAM 90 14 for providing temporary storage space stores application programs, system programs, and a hard disk 9015 for storing data, and a bus 9016 that connects the CD-ROM drive 9011, MPU9012 like each other . Although not shown here, the computer 901 may further include a network card that provides connection to a LAN.

  A program that causes the computer system 9 to execute functions such as the search expression creation device of the above-described embodiment may be stored in the CD-ROM 9101, inserted into the CD-ROM drive 9011, and further transferred to the hard disk 9015. . Alternatively, the program may be transmitted to the computer 901 via a network (not shown) and stored in the hard disk 9015. The program is loaded into the RAM 9014 when executed. The program may be loaded directly from the CD-ROM 9101 or the network.

  The program does not necessarily include an operating system (OS), a third-party program, or the like that causes the computer 901 to execute functions such as the search expression creation device of the above-described embodiment. The program only needs to include an instruction portion that calls an appropriate function (module) in a controlled manner and obtains a desired result. How the computer system 9 operates is well known and will not be described in detail.

  The present invention is not limited to the above-described embodiments, and various modifications are possible, and it goes without saying that these are also included in the scope of the present invention.

  As described above, the search expression creation device according to the present invention automatically selects a search expression that can be used by the user according to the search conditions used by the user in the past, the search result selected by the user from the search results, and the like. It is effective as a search service for restaurants and the like.

DESCRIPTION OF SYMBOLS 1 Search formula creation apparatus 11 Search history management information storage part 12 Reception part 13 Current environment information acquisition part 14 Statistical processing part 15 Statistical processing information storage part 16 Recommended search formula creation part 17 Output part 18 Search object information storage part 19 Search part 20 Accumulator

Claims (7)

And attributes of search target, and the attribute value corresponding to the attribute, perform search expression that have a one or more search criteria composed of a relational operators showing the relationship between the attribute and the attribute value When is information selected by the user from the information retrieved by the search performed formula, attributes and search in which the attribute values and that selection result information having a with corresponding corresponding to those the attribute a statistical processing information storing unit related to the history management information statistics processing result statistical processing information is stored,
Using pre Symbol statistical processing information, and the recommended search expression creation unit for creating estimation Como search expression that meets a predetermined condition,
For example Bei and an output unit configured to output the previous Symbol recommendation search expression creation unit has created recommendation search formula,
The search history management information has the number of searches searched by the execution search formula of the search history management information,
The statistical processing information storage unit is a result of statistically processing an execution search expression associated with a search number that satisfies a search number condition that is equal to or less than a predetermined threshold value or smaller than a predetermined threshold value among the execution search expressions. And statistical processing information relating to a combination of two or more search conditions included in the execution search formula is stored,
The recommended search formula creation unit uses the execution search formula and the statistical processing information as the predetermined condition, and two or more search conditions included in statistical processing information relating to a combination of search conditions with a small number of searches Search formula that creates the recommended search formula that satisfies the recommended search formula that does not have two or more search conditions included in the statistical processing information related to the frequency of the combination of search conditions with a small number of searches or the recommended search formula that does not have Creation device. A search history management information storage unit for the search history management information is stored,
The statistically processing search history management information, prior to obtaining the KiMitsuru meter processing information, a person 該統 meter processing information, the statistical processing information storage unit according to claim 1, further comprising a statistical processing unit for accumulating the Search expression creation device. The front Symbol search history management information, Ruyu over The identification information to identify a user has with support,
Pre Symbol statistical processing unit statistically processes the search history management information same user identification information is attached corresponds to accumulate the statistical processing information to which the user identification information with corresponding prior Symbol statistical processing information storing section ,
Previous Symbol recommended search expression creation unit before SL using statistical processing information to which the user identification information is attached corresponds, according to claim 2, wherein to create the recommended search expression corresponding to the user identified by the user identification information Search expression creation device. Before Symbol search history management information has a search environment information shows the search at the time of the environment by executing search expression,
Currently, further comprising an environmental information acquisition unit that acquires current environment information shows the current environment,
Before SL statistical processing unit, among the search history management information, statistically process the search record management information that have a search environment information to approximate more satisfying to a predetermined current environment information, the statistical processing The search expression creation device according to claim 2 or 3, wherein information is acquired. Further comprising a receiving unit that receives the search conditions,
The front Symbol statistical processing information storing section, the result of statistical processing of the execution search expression, statistical processing information about the frequency of a combination of two or more search conditions included in those respective execution search expression is stored,
If before Symbol recommended search expression creation unit which is pre-Symbol accepting unit accepts the search conditions, the conditions used and the search condition, and the statistical processing information, the frequency of the combination of the search condition is predetermined The search formula creation device according to any one of claims 1 to 4, wherein the recommended search formula having a search condition that is high enough to satisfy the condition is created. An execution search expression having one or more search conditions including an attribute to be searched, an attribute value corresponding to the attribute, and a relational operator indicating the relationship between the attribute and the attribute value, and the execution A statistic indicating the result of statistical processing of search history management information that is selected by the user from the information searched by the search expression and that corresponds to the selection result information having the attribute and the attribute value corresponding to the attribute A search formula creation method performed using a statistical processing information storage unit in which processing information is stored, a recommended search formula creation unit, and an output unit,
The recommended search formula creating unit creates a recommended search formula that satisfies a predetermined condition using the statistical processing information; and
The output unit includes an output step of outputting the recommended search formula created by the recommended search formula creation unit;
The search history management information has the number of searches searched by the execution search formula of the search history management information,
The statistical processing information storage unit is a result of statistically processing an execution search expression associated with a search number that satisfies a search number condition that is equal to or less than a predetermined threshold value or smaller than a predetermined threshold value among the execution search expressions. And statistical processing information relating to a combination of two or more search conditions included in the execution search formula is stored,
The recommended search formula creation unit uses the execution search formula and the statistical processing information as the predetermined condition, and two or more search conditions included in statistical processing information relating to a combination of search conditions with a small number of searches Search formula that creates the recommended search formula that satisfies the recommended search formula that does not have two or more search conditions included in the statistical processing information related to the frequency of the combination of search conditions with a small number of searches or the recommended search formula that does not have How to make. An execution search expression having one or more search conditions including an attribute to be searched, an attribute value corresponding to the attribute, and a relational operator indicating the relationship between the attribute and the attribute value, and the execution A statistic indicating the result of statistical processing of search history management information that is selected by the user from the information searched by the search expression and that corresponds to the selection result information having the attribute and the attribute value corresponding to the attribute A computer that can access the statistical processing information storage unit in which processing information is stored,
Using the statistical processing information, a recommended search formula creating unit that creates a recommended search formula that satisfies a predetermined condition;
A program for functioning as an output unit that outputs a recommended search formula created by the recommended search formula creation unit,
The search history management information has the number of searches searched by the execution search formula of the search history management information,
The statistical processing information storage unit is a result of statistically processing an execution search expression associated with a search number that satisfies a search number condition that is equal to or less than a predetermined threshold value or smaller than a predetermined threshold value among the execution search expressions. And statistical processing information relating to a combination of two or more search conditions included in the execution search formula is stored,
The recommended search formula creation unit uses the execution search formula and the statistical processing information as the predetermined condition, and two or more search conditions included in statistical processing information relating to a combination of search conditions with a small number of searches The recommended search formula condition that satisfies the recommended search formula condition that does not have two or more search conditions included in the statistical processing information relating to the frequency of the combination of search conditions with a small number of searches or the recommended search formula condition that does not have , A program to make a computer function.