JP2022111544A - Information processing system and information processing method - Google Patents

Abstract

To provide an information processing system and an information processing method capable of improving measurement accuracy of ranking a target facility in a Web search service.SOLUTION: An information processing system that ranks a target facility in a Web search service, comprises: acquisition means for acquiring setting information; a setting information database in which the setting information is stored; selection means for selecting a search keyword; discrimination means for discriminating the target facility to be ranked; generating means for generating a search code to rank the target facility in the Web search service; measuring means for ranking each target facility in the Web search service to acquire a ranking result of the target facility; output means for outputting the ranking result; second acquisition means for acquiring operation posted information for the target facility including at least insight information, operation information, and posted information; and output means for outputting the operation posted information.SELECTED DRAWING: Figure 8

Description

The present invention relates to an information processing system and an information processing method for measuring the ranking of target facilities in a web search service.

Conventionally, as a method for measuring the ranking of target facilities in a Web search service, for example, an information processing apparatus disclosed in Patent Document 1 has been proposed.

In the information processing apparatus disclosed in Patent Document 1, a setting unit that receives setting inputs of a target facility, a search query, and a target area to be set as a search location, and a search engine define an area of the target area according to conversion rules. a generation unit that converts a first name into a character string on a URL code that combines a character string corresponding to the number of characters in the area name and a character string obtained by converting the area name using a predetermined encoding method; An output unit that outputs to a search engine, an acquisition unit that acquires search results in a target area from the search engine, and an extraction unit that extracts the search ranking of target facilities from the search results.

Japanese Patent No. 6528341

Here, as for the method of measuring the ranking of target facilities in a Web search service, there is a demand for improving the acquisition accuracy of ranking measurement according to the type of Web search service, the service form, the content of service work, and the like. In this respect, for example, in Patent Document 1, the acquisition of the search ranking of the target facility is performed by batch processing on the server side, so that the customer can freely obtain the search ranking in the desired time period. Can not. Furthermore, since the target area of the target facility is the area name of the municipality level, the customer cannot pinpoint the rank measurement at the desired point. For this reason, it is desired to improve the measurement accuracy of rank measurement for target facilities in Web search services.

Therefore, the present invention has been devised in view of the above-mentioned problems, and its object is to provide an information processing system capable of improving the measurement accuracy of ranking measurement of target facilities in a web search service. and to provide an information processing method.

An information processing system according to a first aspect of the invention is an information processing system that measures the ranking of target facilities in a web search service, and includes identification information for identifying the target facility, a search keyword assigned to each target facility, setting information acquisition means for acquiring setting information including at least search point information for specifying the position of the target facility and time information for starting the measurement of ranking for each target facility; a setting information database in which the setting information is stored; selection means for selecting the identification information and the search keyword associated with the identification information by referring to the setting information database; and the identification selected by the selection means A determination means for determining the target facility to be ranked based on the time information linked to the information, and a search code for measuring the ranking of the target facility in the web search service based on the determination result of the determination means. based on the search keyword and the search location information for each of the target facilities to be ranked, and based on the search code generated by the generating means, the A measuring means for measuring the ranking of each target facility and obtaining the ranking measurement result of the target facility; and a search performed by a searcher of the web search service based on the ranking measuring result obtained by the measuring means. Acquiring operation posted information of the target facility including at least insight information about the operation, operation information indicating the operation by the searcher after the search operation, and posted information about the content posted to the target facility. and output means for outputting the ranking measurement result obtained by the measuring means and the operation posted information obtained by the second obtaining means.

An information processing system according to a second invention is characterized in that, in the information processing system according to the first invention, the search point information acquired by the setting information acquisition means includes latitude and longitude information regarding the position of the target facility.

An information processing system according to a third invention is the information processing system according to the first invention or the second invention, wherein the ranking measurement result acquired by the measuring means indicates search point information of the target facility to be the ranking measurement target. It is characterized by including one or more pieces of map image information.

An information processing system according to a fourth invention is the information processing system according to the first invention, wherein the setting information acquired by the acquisition means further includes a group ID for identifying the target facility, and the output means It is characterized by grouping and outputting the operation posted information for each target facility identified by an ID.

An information processing system according to a fifth aspect of the present invention is the information processing system according to any one of the first to fourth aspects of the invention, wherein there is a relationship between past ranking measurement results obtained in advance and reference information linked to the past ranking measurement results. and an evaluation unit that refers to the reference database and generates an evaluation result for the ranking measurement result.

An information processing system according to a sixth invention is characterized in that, in the fifth invention, the learning model is constructed by machine learning using the past ranking measurement results and the reference information as learning data.

The information processing apparatus according to a seventh aspect is, in any one of the fifth aspect to the sixth aspect, when newly acquiring the relationship between the past ranking measurement result and the reference information, the relationship is acquired. It is characterized by further comprising updating means for reflecting the association.

An information processing method according to an eighth aspect of the invention is an information processing method for measuring the ranking of target facilities in a web search service, comprising: identification information for identifying the target facility; a search keyword assigned to each target facility; a setting information acquiring step of acquiring setting information including at least search point information specifying the position of the target facility and time information at which the ranking of each target facility is to be started; and a setting information storage step of storing the setting information in a setting information database; a selection step of referring to the setting information database and selecting the identification information and the search keyword associated with the identification information; a target facility determination step of determining the target facility for ranking measurement based on the time information linked to the identified identification information; and ranking of the target facility in the web search service based on the determination result of the target determination step. based on the search keyword and the search location information for each of the target facilities to be ranked, and based on the search code generated by the generating step, a rank measurement step of measuring the rank of each of the target facilities in the web search service and obtaining a rank measurement result of the target facility; said target facility including at least insight information relating to a search operation performed by a searcher of said target facility, operation information indicating an operation by said searcher after said search operation, and posted information relating to content posted to said target facility and an output step of outputting the ranking measurement result obtained by the measuring step and the operation posted information obtained by the second obtaining step. It is characterized by

According to the first invention, the setting information acquisition means includes identification information for identifying the target facility, a search keyword assigned to each target facility, search point information for specifying the position of the target facility, and a ranking for each target facility. setting information including at least time information for starting measurement; Therefore, it is possible to select a search keyword linked to the identification information and perform rank measurement based on the time information. This makes it possible to improve the measurement accuracy of ranking measurement.

Further, according to the first to seventh inventions, the generating means generates search keywords for each target facility to be ranked and search point information for ranking measurement based on the result of determination of time information. Generate search code. Therefore, the rank measurement for each target facility in the Web search service can be appropriately performed, and the result of the rank measurement of the target facility can be pinpointed. This makes it possible to improve the measurement accuracy of ranking measurement.

In particular, according to the first invention, the second acquisition means acquires operation posted information of the target facility including at least insight information, operation information, and posted information. Therefore, it is possible to output the ranking measurement result, the insight information regarding the search operation of the searcher regarding the target facility, the operation information after the search operation, and the posted information of the target facility together. As a result, the measurement ranking of the target facility can be associated with the operation posted information, and it is possible to provide customers with accurate ranking measurement results and operation posted information.

In particular, according to the second invention, the search point information includes latitude and longitude information regarding the position of the target facility. For this reason, it is possible to set more detailed points on the map by associating them with point settings at the municipality level. This makes it possible to improve the measurement accuracy of ranking measurement.

In particular, according to the third invention, the ranking measurement result includes one or more pieces of map image information indicating the search point information of the target facility targeted for ranking measurement. Therefore, it is possible to acquire the ranking measurement result of the target facility associated with the information of the target facility. This makes it possible to improve the measurement accuracy of ranking measurement. Furthermore, it is possible to associate the measured ranking with the map image information, and to provide customers with accurate ranking measurement results.

In particular, according to the fourth invention, the setting information further includes a group ID that identifies the target facility. Therefore, the output means can group and output the operation posted information for each target facility identified by the group ID. As a result, it is possible to associate the measured ranking of the target facility with the operation posted information on a group-by-group basis, and to provide customers with accurate ranking measurement results and operation posted information.

In particular, according to the fifth invention, the reference database stores a learning model having a relationship between past ranking measurement results obtained in advance and reference information linked to the past ranking measurement results. Therefore, the obtained rank measurement result can be evaluated based on the past rank measurement result obtained in advance. This makes it possible to improve the measurement accuracy of ranking measurement.

In particular, according to the sixth aspect, the association is constructed by machine learning using past ranking measurement results and reference information as learning data. Therefore, even when evaluating an unknown rank measurement result different from the past rank measurement result, quantitative evaluation can be performed. This makes it possible to improve the measurement accuracy of ranking measurement.

In particular, according to the seventh invention, when the update means newly acquires the relationship between the past ranking measurement result and the reference information, the relationship is reflected in the association. Therefore, the association can be easily updated. This makes it possible to improve the measurement accuracy of continuous ranking measurement.

According to the eighth aspect of the invention, the setting information acquisition step includes identification information for identifying the target facility, a search keyword assigned to each target facility, search point information for specifying the position of the target facility, and a ranking for each target facility. setting information including at least time information for starting measurement; Therefore, it is possible to select a search keyword linked to the identification information and perform rank measurement based on the time information. This makes it possible to improve the measurement accuracy of ranking measurement.

According to the eighth invention, the second acquisition step acquires operation posted information of the target facility including at least insight information, operation information, and posted information. Therefore, it is possible to output the ranking measurement result, the insight information regarding the search operation of the searcher regarding the target facility, the operation information after the search operation, and the posted information of the target facility together. As a result, the measurement ranking of the target facility can be associated with the operation posted information, and it is possible to provide customers with accurate ranking measurement results and operation posted information.

FIG. 1 is a schematic diagram showing an example of an information processing system according to this embodiment. FIG. 2 is a schematic diagram showing an example of the operation of the information processing system according to this embodiment. FIG. 3A is a schematic diagram showing an example of the configuration of the information processing system according to the present embodiment, and FIG. 3B is a schematic diagram showing an example of the functions of the information processing apparatus according to the present embodiment. FIG. 4 is a schematic diagram showing an example of a database in this embodiment. FIG. 5 is a schematic diagram showing an example of a database in this embodiment. FIG. 6 is a schematic diagram showing an example of the database in this embodiment. FIG. 7 is a schematic diagram showing an example of a reference database in this embodiment. FIG. 8 is a flow chart showing an example of the operation of the information processing system according to this embodiment. FIGS. 9A to 9D are schematic diagrams showing an example of the output of the information processing system according to this embodiment. FIGS. 10A to 10D are schematic diagrams showing an example of the output of the information processing system according to this embodiment.

An example of an information processing system and an information processing method according to an embodiment to which the present invention is applied will be described below with reference to the drawings.

(This embodiment: information processing system 100)
An example of the configuration of an information processing system 100 according to the present embodiment will be described with reference to FIGS. 1 to 7. FIG. FIG. 1 is a schematic diagram showing an example of the configuration of an information processing system 100 according to this embodiment.

<Information processing system 100>
The information processing system 100 is, for example, Google (registered trademark) MAP or Yahoo! In a search engine provided by a web search service with a map display function such as (registered trademark) Loco, the search ranking of target facilities managed by the customer is obtained. The information processing system 100 may function, for example, as an MEO (Map Engine Optimization) measure, as well as an SEO (Search Engine Optimization) measure.

The information processing system 100 has an information processing device 1 as shown in FIG. 1, for example. The information processing device 1 includes, for example, a communication network 5, a plurality of customer terminals 2 requesting ranking measurement, a plurality of ranking analysis devices 3 performing ranking analysis, an Internet server 50 performing a web search service, and a plurality of ranking analysis devices. A rank measurement server 60 that collects and controls 3 is inherited by various databases. The information processing device 1 may be connected to a searcher terminal (not shown) of a user who searches for target facilities using various search keywords. The database 4 is connected to the information processing device 1, for example. The database 4 includes, for example, a setting information database that stores various setting information related to ranking measurement, a reference information database that stores information for storing and evaluating ranking measurement results, and temporarily stores the results of analysis by the ranking analysis device 3. In addition to the temporary storage database, for example, it may be configured by a captured image database or the like.

The information processing system 100 connects the information processing device 1 , the rank analysis device 3 , the Internet server 50 , and the rank measurement server 60 . The ranking analysis device 3 operates in the same manner as the search processing performed by the user, for example, each of the ranking analysis devices 3 launches a virtual browser, executes a search keyword (search query) on the search engine, and collects information. . A plurality of rank analysis devices 3 may be activated via the rank measurement server 60, for example. The rank measurement server 60 may be configured such that the same or different search keywords set for each target facility, for example, are shared among a plurality of rank analysis devices 3 .

The information processing system 100 , for example, collects various kinds of information whose ranks have been analyzed by the rank analysis device 3 in a temporary storage database (not shown) connected to the rank analysis device 3 . The information processing system 100 may store, in a database connected to the information processing device 1, various pieces of analysis result information analyzed by the plurality of rank analysis devices 3 via the rank measurement server 60, for example. The information processing system 100 stores, for example, a captured image of a search screen captured by the ranking analysis device 3 during ranking analysis in a captured image database (not shown) separate from the database for temporary storage. may

As shown in FIG. 2, the information processing system 100 acquires a search keyword for each target facility used for searching by a user who uses a web search service via the customer terminal 2, for example. The information processing system 100 stores, for example, various types of acquired setting information (for example, search keywords, etc.) in the database 4 (setting information database). For example, the information processing system 100 performs a search for each target facility by the user, and when the display screen 1a of the search results is obtained, the ranking analysis device 3 analyzes the order of display on the search engine. , the result of rank measurement is output to the display unit 109 or the like as the display screen 1b of the rank measurement result.

The information processing system 100 refers to the reference database and generates evaluation results for past ranking measurement results. The information processing system 100 outputs, for example, the generated evaluation results to the information processing apparatus 1, the display unit 109 of the customer terminal 2, or the like, in addition to the ranking measurement results. In addition, the information processing system 100, for example, based on the ranking measurement results analyzed by the information processing apparatus 1, various information (for example, ranking transition, comparison transition with competition, calendar linkage, capture image linkage, insight information, etc.) , to the display unit 109 of each customer terminal 2 or the like.

For example, the information processing system 100 performs AI analysis of the search point distance, the number of photos, the number of reviews, the number of reviews, the number of posts, and the keyword content rate of reviews and posts in the ranking measurement results. Evaluate trends and factors that make The information processing system 100 displays, for example, the evaluation result for each target facility in terms of probability or the like, and also displays, for example, "distance XX meters", "number of photographs 70", "number of reviews XX", and the like. can be

<Information processing device 1>
Next, an example of the information processing device 1 according to this embodiment will be described with reference to FIG. FIG. 3(a) is a schematic diagram showing an example of the configuration of the information processing apparatus 1 according to the present embodiment, and FIG. 3(b) is a schematic diagram showing an example of the functions of the information processing apparatus 1 according to the present embodiment. be.

As the information processing apparatus 1, for example, electronic equipment such as a supercomputer, a server computer, or a mainframe/general-purpose computer is used. The information processing device 1 may be connected to the customer terminal 2 and the ranking analysis device 3, for example. For example, as shown in FIG. 3A, the information processing apparatus 1 includes a housing 10, a CPU (Central Processing Unit) 101, a ROM (Read Only Memory) 102, a RAM (Random Access Memory) 103, a storage It has a unit 104 and I/Fs 105-107. Each configuration 101 - 107 is connected by an internal bus 110 .

The CPU 101 controls the information processing apparatus 1 as a whole. ROM 102 stores the operation code of CPU 101 . A RAM 103 is a work area used when the CPU 101 operates. A storage unit 104 stores various types of information such as a setting information database and a reference database. As the storage unit 104, for example, a data storage device such as an HDD (Hard Disk Drive) or an SSD (Solid State Drive) is used. For example, the information processing apparatus 1 may have a GPU (Graphics Processing Unit) (not shown). Having a GPU enables higher-speed arithmetic processing than usual.

The I/F 105 transmits and receives various information to and from the customer terminal 2, the ranking analysis device 3, the database 4, the web search service, other websites, etc., as necessary, via the communication network 5 such as the Internet. interface. The I/F 106 is an interface for transmitting/receiving information to/from the input unit 108 . A keyboard, for example, is used as the input unit 108 , and the user or the like of the information processing apparatus 1 inputs various kinds of information, control commands for the information processing apparatus 1 , etc. via the input unit 108 . The I/F 107 is an interface for transmitting and receiving various information to and from the display unit 109 . The display unit 109 displays various information, rank measurement, evaluation results, or the like saved in the storage unit 104 . A display is used as the display unit 109 , and is provided integrally with the input unit 108 in the case of a touch panel type, for example.

FIG. 3B is a schematic diagram showing an example of the functions of the information processing device 1. As shown in FIG. The information processing apparatus 1 includes an acquisition unit 11a, a second acquisition unit 11b, a selection unit 12, a determination unit 13, a generation unit 14, a measurement unit 15, an output unit 16, an evaluation unit 17, and an update unit 18. and a storage unit 19, and may have a learning unit 20, for example. Note that each function shown in FIG. 3B is realized by the CPU 101 using the RAM 103 as a work area and executing a program stored in the storage unit 104 or the like, and may be controlled by, for example, artificial intelligence. .

<Acquisition unit 11a>
The acquisition unit 11a acquires various setting data, measurement data, captured image data, or the like for performing ranking measurement. The acquisition unit 11a obtains identification information for identifying target facilities for ranking measurement, a search keyword assigned to each target facility, search point information for specifying the position of the target facility, and measurement of the ranking for each target facility. The setting information including at least the starting time information is acquired, and stored (stored) in association with each other in the storage unit 19 and the database 4 (setting information database).

The acquisition unit 11a acquires the search point information, for example, list data such as addresses and place names provided as master data, and the search points in Japanese and English. Address information at a rough municipal level is obtained for the search point, and is obtained as a search point name in Japanese or English.

<Second Acquisition Unit 11b>
Based on the ranking measurement result acquired by the measurement unit 15, the second acquisition unit 11b acquires insight information related to the search operation performed by the searcher of the web search service and the operation indicating the operation performed by the searcher after the search operation. Operation posted information of the target facility including at least information and posted information about the content posted to the target facility is acquired, and stored (stored) in correspondence with each other in the storage unit 19 and the database 4 (setting information database).

The second acquisition unit 11b may acquire various types of information including insight information, operation information, posted information, etc. for each target facility as operation posted information based on, for example, an authentication key held by each target facility. . The authentication key is, for example, obtained in advance by each target facility, and the second acquisition unit 11b accesses another web search site using the authentication key for each target facility, and performs a web search for each target facility. , searcher's operation, various information related to Web display, and the like. The authentication key may be associated with each target facility and stored in, for example, the database 4 (setting information database).

<Selection unit 12>
The selection unit 12 refers to the storage unit 19 or the database 4 (setting information database), and selects the identification information acquired by the acquisition unit 11a and the search keyword associated with the identification information. The selection unit 12 may select one or more pieces of identification information and one or more search keywords. If multiple identification information or search keywords are selected, for example, in addition to selecting a wide range of OR conditions, AND conditions may be used to narrow down the target of ranking measurement, and any search conditions are optional. is

<Determination unit 13>
The discrimination unit 13 discriminates whether the facility is a target facility for ranking measurement based on the time information for ranking measurement for performing a search for each facility acquired by the acquiring unit 11a. The discrimination unit 13 discriminates whether or not the facility is a target facility for rank measurement, for example, by comparing the time set in the information processing apparatus 1 with preset time information for each target facility.

Based on the result of the determination, the determining unit 13 collects, for example, the target facility name, search keyword, and search point information for each search point set for each facility, and issues a search request for rank measurement.

For example, when the time information of 0:00 and 12:00 is set for the target facility A, the discrimination unit 13 discriminates these two times, summarizes the discrimination result, and issues a search request. As a result, the customer can obtain two types of ranking measurement information for the target facility managed by the customer, namely, the measurement ranking of the search at 0:00 and the measurement ranking of the search at 12:00. A plurality of times can be set for the time information, and the intervals between the times are arbitrary.

<Generating unit 14>
The generation unit 14 generates a search code for measuring the rank of the target facility in the web search service based on the determination result by the determination unit 13 and the search request. The generation unit 14 generates a search code based on the search keyword and the search location information for each facility to be ranked. A search code is a search URL generated from, for example, alphanumeric characters and symbols.

The generation unit 14 generates search codes differently depending on whether the search location information is Japanese/English or latitude/longitude information. As a result, for example, even if the search location desired by the customer is acquired by latitude and longitude information, it is possible to measure the ranking and acquire the result of the ranking measurement with pinpoint accuracy. It is possible to improve the measurement accuracy of ranking measurement in facilities.

If the search point information of the facility to be ranked is in Japanese or English (for example, "Nakano-ku, Tokyo (Japanese)" or "Nakano, Tokyo, Japan (English)"), , to generate a search code using the English search location name. The generating unit 14 refers to, for example, "base64" which is generally provided as a library, and generates "Nakano, Tokyo, Japan (English)" as a fixed value "w+CAIQICI" and a search point "TmFrYW5vLFRva3lvLEphcGFu". to generate "w+CAIQICISTmFrYW5vLFRva3lvLEphcGFu" as the location information code. The generator 14 generates the search URL as "http://~~~~uule=w+CAIQICISTmFrYW5vLFRva3lvLEphcGFu&~~~" based on this location information code "w+CAIQICISTmFrYW5vLFRva3lvLEphcGFu".

For example, when the search point information acquired by the acquisition unit 11a includes latitude and longitude information related to the location of the target facility, the generation unit 14 cannot create the "w+CAIQICIxxxxxx" part from the latitude and longitude information. Therefore, when the virtual browser is activated, the latitude and longitude information obtained in advance is used to assign the current location, and a search at the search point is performed using the latitude and longitude position information set on the virtual browser.

As a result, the generation unit 14 can perform rank measurement when using the addresses stored in the search point table of the setting information database and when using search points added by the customer himself/herself.

<Measurement unit 15>
The measurement unit 15 performs rank measurement for each target facility in the web search service based on the search code generated by the generation unit 14, and acquires the rank measurement result of the target facility. For example, when a user performs a search using a search keyword for each target facility set by a customer, the measurement unit 15 measures how many facilities associated with the search keyword are displayed on the search engine.

The measurement unit 15 refers to time information preset by the customer via the ranking measurement server 60, and starts ranking measurement at the set measurement time. The measurement unit 15 may collect the information (individual ranking measurement results) measured by the plurality of ranking analysis devices 3 in a database (not shown) for temporary storage, for example. The rank measurement results stored (stored) in the database for temporary storage may be extracted by the information processing device 1 after that, and stored in the database of the information processing device 1 . As a result, it is possible to avoid complication of the process of transmitting the ranking measurement results collected by the plurality of ranking measurement servers 60 to the information processing apparatus 1 at the same time.

The measurement unit 15 stores the captured image of the ranking measurement result screen captured by the ranking analysis device 3 via the virtual browser in, for example, a database for captured images (not shown) separate from the temporary storage database. may

<Output unit 16>
The output unit 16 outputs evaluation results for the rank measurement result information. The output unit 16 may output reference data selected for the rank measurement result information, for example.

The output unit 16 uses, for example, a display format stored in advance in the storage unit 104 to generate and output rank measurement results obtained by converting the evaluation results into character strings that can be understood by the user or the like. The output unit 16 transmits evaluation measurement results to the display unit 109 via the I/F 107, and also transmits ranking measurement results to the customer terminal 2 or the like via the I/F 105, for example.

<Evaluation unit 17>
The evaluation unit 17 refers to a reference database that stores a learning model having a relationship between past ranking measurement results obtained in advance and reference information linked to the past ranking measurement results, and evaluates the ranking measurement results. Generate evaluation results.

Here, an example of the reference database in this embodiment will be described with reference to FIG. The reference database stores a learning model having a relationship between past ranking measurement results obtained in advance and reference information linked to the past ranking measurement results.

The evaluation unit 17 refers to the reference database, and selects, for example, data that is the same as or similar to data included in the rank measurement result information to be evaluated (for example, “data A”: first data). As the first data, data that partially or completely matches the rank measurement result information, or, for example, similar data is selected. When the rank measurement result information is represented by numerical values such as a matrix, the numerical range included in the selected first data may be set in advance.

The evaluation unit 17 selects reference information linked to the selected first data and a degree of association (first degree of association) between the selected first data and the reference information, and evaluates the selected reference information and the first degree of association. Generate evaluation results based on Note that the first degree of association may be selected from associations constructed in advance, or may be calculated by the evaluation unit 17 .

For example, the evaluation unit 17 uses distance information from search point information that specifies the position of each target facility, the number of photos, the number of reviews, the number of reviews, the number of posts from searchers, or the keywords of reviews and posts regarding the target facility to be searched. It may be evaluated by the content rate or the like.

In the reference database, for example, the data "reference A" included in the reference information linked to the first data "data A" and the first degree of association (degree of association AA) between the "data A" and the "reference A" "80%" or the like is stored, and the reference information and the first degree of association may include multiple pieces of data. In this case, in addition to "reference A" and "80%", the evaluation unit 17, for example, the reference information "reference B" linked to the first data "data A", and "data A" and "reference B" Select the first degree of association (degree of association AB) "65%" between good.

The evaluation result may include rank measurement result information. The evaluation result may indicate the ranking of the search results (factor of top ranking) represented by probability using reference information and degree of relevance, for example.

The evaluation unit 17 uses format data such as an output format stored in advance in the storage unit 104 or the like to store the selected reference information and the first degree of association in a format that can be understood by the evaluator (for example, a character string ). It should be noted that, for example, a known technique may be used to set the format when generating the evaluation result.

The evaluation unit 17 determines the content of the evaluation result based on, for example, the selected first degree of association. For example, the evaluation unit 17 generates an evaluation result based on the reference information linked to the first degree of association of "50%" or more, and uses the reference information linked to the first degree of association of less than "50%" as the evaluation result. It may be set not to reflect. As for the criterion based on the first degree of association, for example, an evaluator or the like may set a threshold value in advance, and the range of the threshold value can be set arbitrarily. Further, the evaluation unit 17 may determine the content of the evaluation result based on, for example, a result of calculating two or more first degrees of association or a comparison of two or more first degrees of association.

The evaluation unit 17 refers to the reference database, and in addition to the past ranking measurement results obtained in advance, for example, past distance information, the number of photos, the number of reviews, the number of reviews, the number of posts, or the keyword content rate of reviews and posts. Evaluation results are generated by a learning model that has relationships with reference information linked to the results of . As a result, for example, it is possible to output the tendency of search services that are likely to be displayed higher.

<Update section 18>
The updating unit 18 updates, for example, a reference database. When the update unit 18 newly acquires the relationship between the past rank measurement result information and the reference information, the update unit 18 reflects the relationship in the association. For example, based on the evaluation result generated by the evaluation unit 17, when the evaluator or the like determines the accuracy of the content of the evaluation result, and the information processing apparatus 1 acquires the determination result, the update unit 18 updates the reference database based on the determination result. Update the associations contained in .

<Storage unit 19>
The storage unit 19 retrieves various data such as databases stored in the storage unit 104 as necessary. The storage unit 19 stores various data acquired or generated by each of the components 11 to 18 and 20 in the storage unit 104 as necessary.

<Learning part 20>
The learning unit 20 generates a database by machine learning using a plurality of pieces of learning data, for example, test data and reference data based on the determination result as a pair of learning data. For machine learning, for example, the above-described convolutional neural network or the like is used.

The learning unit 20 may generate reference data, for example, based on the determination result obtained by the obtaining unit 11a. The learning unit 20 generates, for example, reference data having identification information related to the evaluation model from which the determination result was derived. The identification information may be generated by, for example, storing in advance an identification information list or the like linked to the evaluation model in the storage unit 104 and referring to the list or the like as necessary, and is set in advance so as to be included in the determination result. You may

For example, the learning unit 20 may calculate at least one of the correct/incorrect result, the accuracy of the determination, and the time spent for the determination, and generate reference data having them. The correctness result and the determination accuracy may be generated by storing, for example, a correct answer, a threshold value, and the like for test data in the storage unit 104 in advance, and referring to the correct answer and the like as necessary.

<Rank analysis device 3>
The rank analysis device 3 is connected to the rank measurement server 60 activated by the information processing device 1 . The ranking analysis device 3 performs, for example, a search process similar to that performed by a searcher (user) using a PC or the like. For example, a plurality of rank analysis devices 3 may be connected to the rank measurement server 60, and based on setting information set to each, launch a virtual browser and execute a search keyword (search query) on a search engine. and collect the execution results.

For example, by activating a plurality of ranking analysis devices 3, it is possible to share search keywords for each target facility, execute searches, and collect execution results. As a result, for example, it is possible to distribute and execute the load of arithmetic processing applied to search keywords for each target facility and target facility for thousands to tens of thousands.

The ranking analysis device 3 aggregates the information searched and ranked in a temporary storage database (not shown). The temporary storage database is connected to, for example, the information processing device 1 and the rank measurement server 60 respectively. The search results stored in the temporary storage database and the ranking measurement results are extracted by the information processing device 1 and stored in the database 4 . As a result, it is possible to avoid complication of processing such as passing results collected by a plurality of rank measurement servers 60 to the information processing apparatus 1 at the same time. The rank analysis device 3 may have at least part of the functions of the information processing device 1 or the rank measurement server 60, for example.

<Database 4>
Next, an example of the database 4 in this embodiment will be described with reference to FIGS. 4 to 6. FIG. The database 4 includes, for example, a setting information database, a temporary storage database, an image capture database, and an aggregation database. In the setting information database, information such as target facilities for managing customers (users) who receive the rank measurement service in the information processing system 100 is registered. Data such as search keywords, search locations, and search times are registered in the database 4 for each facility via the customer terminal 2 . The database 4 is referenced by the ranking analysis device 3, for example, and information is extracted on the search engine based on the various types of information referenced.

FIG. 4 is a setting information database that stores (stores) various setting information. For example, as shown in FIG. table", "retrieval location data table", further, for example, a "retrieval time data table", "competitor data table", "ranking data table", and "competitor ranking data table" as shown in FIG. It is composed of various data tables including at least a "group data table", an "insight data table", and a "post data table" as shown in FIG.

Various data tables constituting the database 4 are configured by linking each data. In addition, the database 4 is, for example, a database (not shown) in which the aforementioned data for temporary storage is aggregated, and a database (not shown) that stores captured images of search screens taken by the ranking analysis device 3 during ranking analysis, for example. not shown).

<<User data table>>
The user data table shows, for example, a "user ID" as data for identifying a customer, a "user name" indicating the name of the customer in association with the user ID, and a contract plan between the service provider and the customer. "Contract information" and the like are associated with each other and stored.

<<Facility data table>>
The facility data table contains, for example, data for identifying facilities managed by customers, such as "facility ID" which is identification information for identifying the target facility, "user ID" for identifying the customer, and "facility name" which is the name of the facility. , "service ID" related to web services used by customers, "authentication key" related to authentication to access web display services, "service token" that can be used in web services, various types displayed on the website of the target facility A "display image" related to the image, a "group ID" related to the group to which the customer or facility belongs, etc. are associated with each other and stored.

The information processing system 100 may refer to the facility data table and implement various services provided by the Internet server 50 based on data such as "service ID" and "service token". Further, the information processing system 100 collectively manages facilities, customers (users), services, etc. that are linked with the same group ID based on the data of the "group ID", for example (for example, summation of ranking measurement results, reporting, etc.). , information registration/update, etc.).

<<Search Keyword Data Table>>
The search keyword table is associated with the facility data table by facility ID, for example. The search keyword table stores, for example, a "search keyword ID", a "facility ID", a "search keyword", etc. in association with the search keyword as a search keyword assigned to each target facility.

In the search keyword data table, the ranking of target facilities is measured by the ranking server 60, for example. A rank search is performed using the search keyword data stored in the search keyword data table, and rank measurement results obtained by the rank analysis device 3 are extracted.

<<Associated data table>>
The association data table includes, for example, "association ID", "facility ID", and "searched point ID" as data for linking target facilities and search points, and "group ID" indicating types of target facilities, points, etc. are associated with each other and stored. The association data table associates the facility data table and the search keyword table by storing facility IDs and search point IDs, for example.

<<Search Point Data Table>>
The retrieved location data table includes, for example, "retrieved location ID", "retrieved location name", "retrieved location name (English)", "latitude", "longitude , 'user ID', etc. are associated with each other and stored.

In the search point data table, Japanese names and English names are stored as search point names, for example. For example, the information up to the municipality is stored in the search point data table. The information processing system 100 refers to the Japanese name stored in the search point data table, and is used to display the screen on each terminal. The search location name (English) is used, for example, in order measurement.

The search location data table stores, for example, address data specified in detail. Detailed address data can be registered in a search point data table by, for example, adding a search point by the customer (user) himself, and stored as latitude and longitude together with the search point name in association with the user ID. be. The search location data table is also associated with the facility data table and the user data table.

The registration of various data in the search data table, for example, the addition of detailed search points, assumes where the user of the search engine is performing the search, and is set by the customer himself. Based on the search history information of the search engine, evaluation may be performed based on data such as facility names and search points searched in the past, and the search points may be appropriately set based on the evaluation results.

The rank analysis device 3 sets the current location for rank measurement based on the information of the search points stored in the search data table, and extracts the rank measurement results obtained by performing the rank measurement at the determined search points. In the conventional system, it was only possible to set points at the municipal level, but by measuring the ranking using latitude and longitude, it is possible to improve the measurement accuracy of the ranking measurement of the target facility in the web search service.

A search point can be added to the search point data table using a known location information API (Application Programming Interface) provided by the Internet server 50, for example. With the position information API, for example, by designating and saving an arbitrary position within a map application, the latitude and longitude may be read and stored in the search point data table.

<<Search time data table>>
The search time data table contains, for example, "search time ID", "facility ID", and "search time" indicating the time to start ranking measurement as data for identifying the time for ranking measurement desired by the customer. They are associated and stored. The search time data table is associated with the facility data table by, for example, the facility ID, and when the search time registered by the ranking measurement server 60 comes, the ranking of the target facility is measured. The "search time" can be set in increments of, for example, 30 minutes, or a plurality of times can be set, and a plurality of search times may be set in one day.

In the search time data table, for example, if the search times of "0:00" and "12:00" are stored for the facility A, the rank measurement server 60 calculates the time of "0:00" for the facility managed by the customer. It is possible to acquire the ranking measurement results twice at the time of "12:00" and "12:00". As a result, it is possible to improve the measurement accuracy of ranking of target facilities in the Web search service.

<<Competitor data table>>
The competitor data table contains, for example, "competitor facility ID", "facility ID", "group ID", "search location ID", "competitor name", etc., as data for identifying competitors whose rankings are to be measured. are associated with each other and stored. The competitor data table includes, for example, a facility data table, a competitor ranking data table, a search keyword data table, an association data table, a search location data table, a search time data table, a group data table, an insight data table, and a post data table. , etc., which enables output, for example, in units of groups or in units of search points.

The information processing system 100 calculates the rank measurement results of each of the rank data table and the competitor data table based on, for example, a common facility ID, group ID, search location ID, or competitor name. The results may be compared, and the comparison results for each target facility may be output in the form of a time-series graph or the like based on groups, search points, or both groups and search points.

<<Rank data table>>
The ranking data table contains, for example, "ranking ID", "facility ID", "search keyword ID", "date", "ranking", and "capture URL" as data for identifying the result of ranking measurement for each target facility. , "address ID", "retrieval time ID", etc. are associated with each other and stored. The rank measurement data table is associated with, for example, a facility data table, a search keyword data table, a search location data table, and a search time data table. Store the order of the results by

The information processing system 100 (information processing device 1) processes various data stored in, for example, a ranking data table, and sends ranking measurement charts and ranking measurement results for each target facility to customer terminals in a calendar format (not shown). You may make it output. The ranking data table may store, for example, the capture screen of the search result together with the capture URL where the capture screen is displayed, separately from the ranking measurement result for each target facility. The capture image URL is used, for example, as a link for referring to capture images stored in the capture DB and individual images displayed on the display screen.

<<Competitor ranking data table>>
The competitor ranking data table includes, for example, "competitor ranking ID", "competitor facility ID", "search keyword ID", "date", "ranking", as data for identifying competitors whose ranking is to be measured. 'Capture URL', 'address ID', 'retrieval time ID', etc. are associated with each other and stored. The competitor ranking data table is associated with, for example, a search keyword data table, a search location data table, and a search time data table, thereby providing search results based on "when", "where", and "with which search keyword". Remember your rank.

The information processing system 100 calculates the rank measurement results of the rank data table and the competitor rank data table based on, for example, any of the common facility ID, search keyword ID, date, search time ID, or address ID. The results of rank measurement may be compared, and the results of each comparison may be output in the form of a time-series graph or the like.

<<Group data table>>
The group data table contains, for example, "group ID", "group name", "user ID", "retrieval point ID", and "period" as data for identifying groups arbitrarily set for each user. are associated with and stored. The group data table stores user IDs, and group IDs are associated with multiple facilities.

<<Insight data table>>
The insight data table contains, for example, "insight ID", "facility ID", "date", "insight type", "numerical value", "insight ID", "facility ID", "date", ""operationinformation","displaylocation", and "browsing frequency" are stored in association with each other. Various data stored in the insight data table are acquired by the acquisition unit 11a or the second acquisition unit 11b. In the insight data table, as insight information, for example, how the target facility was found by the acquired data, whether it was a search from the normal search screen or map, what kind of action was taken after seeing the target facility The number of images prepared in advance by the facility owner, the number of newly posted photos, and the number of times data has been viewed may be stored. The types of insight are distinguished as "direct search" or "indirect search" as the insight type.

The information processing system 100 may refer to the insight data table, for example, analyze the search operation based on the insight information together with the ranking measurement result for each target facility, or the tendency of the search progress, and combine and output them.

Here, an example of the output of the information processing system in this embodiment will be described with reference to FIGS. 9(a) to 9(d). FIG. 9(a) shows, for example, analysis results of user search methods (“direct search”, “indirect search”, or “brand name”) for each target facility whose ranking is measured. FIG. 9(b) shows an analysis result of the user's behavior (“website”, “route guidance”, or “telephone”) after, for example, the ranking-measured target facilities are displayed. FIG. 9(c) shows an analysis result of a portion (“search screen” or “map screen”) where, for example, target facilities whose ranks are measured are displayed. Further, FIG. 9D shows the analysis result of the number of photos viewed by each contributor ("owner's contribution" or "individual customer's contribution") for each target facility whose ranking is measured, for example.

<<post data table>>
The posted data table contains, for example, "review ID", "review date", "facility ID", "review content", "evaluation rank", ""positivekeyword" and "negative keyword" are associated with each other and stored. The posted data table stores facility IDs, and the facility IDs are associated with a plurality of facilities.

The posting data table stores "positive keywords" and "negative keywords". "Positive keywords" and "negative keywords" are defined as "positive keywords" or "negative keywords" by a vocabulary dictionary (not shown) based on vocabulary such as words and phrases included in the "review content" input by the customer. It is distributed as a keyword that means ". For example, the evaluation rank is posted after the customer performs a 5-level evaluation that indicates the goodness of the evaluation, or for example, the number of "positive keywords" or "negative keywords" included in the review content, and each keyword for the review content. may be calculated and evaluated based on the appearance ratio.

Here, FIGS. 10A to 10D show an example of the output of the information processing system according to this embodiment. FIG. 10(a) shows, for example, an analysis result of the average word-of-mouth score for each target facility (store) whose ranking is measured. FIG. 10(b) shows the analysis result of the total number of word-of-mouth for the current month for each target facility (store) whose ranking is measured, for example. FIG. 10(c) shows the analysis result of the total number of word-of-mouth for each facility (store) whose ranking is measured, for example. FIG. 10(d) shows the analysis result of the number of positive words (for example, total number, content rate, etc.) for each target facility, which is ranked, for example.

<Internet Server 50>
Internet server 50 is connected to information processing apparatus 1 via communication network 5 . The Internet server 50 stores various past data and the like, and various data are transmitted from the information processing apparatus 1 as necessary. The Internet server 50 may have, for example, at least part of the functions of the information processing apparatus 1, and may perform at least part of the processing instead of the information processing apparatus 1, for example. The Internet server 50 stores, for example, at least part of various data stored in the storage unit 104 of the information processing apparatus 1, and may be used instead of the storage unit 104, for example.

<Rank measurement server 60>
The rank measurement server 60 connects, for example, a plurality of rank analysis devices 3, and performs rank measurement for each facility using a search keyword. The rank measurement server 60 causes the connected rank analysis device 3 to perform a search similar to a keyword search process performed by a searcher, for example. The rank measurement server 60 causes each of the connected rank analysis devices 3 to launch a virtual browser and execute a search keyword (search query) on the search engine.

A plurality of rank measurement servers 60 may share rank measurement based on search keywords assigned to each rank measurement server 60, for example. It is possible to disperse and process the load of the arithmetic processing for each.

<Communication network 5>
The communication network 5 is, for example, an Internet network or the like to which the information processing apparatus 1 is connected via a communication circuit. The communication network 5 may be composed of a so-called optical fiber communication network. Moreover, the communication network 5 may be implemented by a known communication technology such as a wireless communication network, in addition to the wired communication network.

(Example of operation of information processing system 100)
Next, an example of the operation of the information processing system 100 according to this embodiment will be described. FIG. 8 is a flow chart showing an example of the operation of the information processing system 100 according to this embodiment.

<Acquisition means S110>
As shown in FIG. 8, the acquisition unit 11a obtains identification information for identifying the target facility, a search keyword assigned to each target facility, search point information for specifying the position of the target facility, and measurement of the ranking of each target facility. and setting information including at least the time information to start (acquisition means S110).

Various setting information acquired by the acquisition unit 11 a is stored in the database 4 (setting information database) via the storage unit 19 . The acquisition unit 11a, for example, starts measuring the rank of the target facility based on the search time in the search time data table of the setting information database, and also appropriately obtains information about the target facility to be ranked, via the customer terminal 2. It may be acquired.

<Selecting Means S120>
Next, the selection unit 12 refers to the setting information database, and selects the identification information and the search keyword associated with the identification information (selection unit S120). The selection unit 12 may select a plurality of search keywords for each target facility, for example.

The selection unit 12 selects facilities that require rank measurement from the facility information data table. For example, in a web search service, the selection unit 12 may determine whether there are target facilities that do not provide the ranking measurement service or facilities that have stopped providing the search service, and exclude such facilities in advance. As a result, it is possible to improve the measurement accuracy of rank measurement in target facilities in the Web search service.

<Discrimination means S130>
Next, the discrimination unit 13 discriminates the target facility for ranking measurement based on the time information linked to the identification information selected by the selection unit 12 (discrimination unit S130). The determination unit 13 determines the target facility linked with the target facility ID based on the time information of the information processing device 1 and the processing execution time of rank measurement stored in the search time data table, for example.

The determining unit 13 then determines the target facility to be measured based on the target facility ID stored in the facility data table. The determination unit 13 may execute the rank measurement service based on each data of service ID, service token range, or group ID stored in the facility data table, for example. The determination unit 13 summarizes the facility name, the search keyword, and the search location for each of the search locations set for each facility stored in the search keyword data table and the search location data table according to the determination result, and performs ranking analysis. A search request is made to the device 3 .

<Generating Means S140>
Next, based on the determination result of the determination unit 13, the generation unit 14 generates a search code for measuring the rank of the target facility in the web search service, a search keyword for each target facility to be ranked, and a search code. It is generated from the point information (generating means S140).

The generation unit 14 calculates the rank of the target facility in the web search service based on each data associated with the facility ID stored in the facility data table, search keyword data table, search location data table, and association data table. Generate search code to do. The generation unit 14 generates a search code for performing ranking measurement, for example, based on a search keyword for each facility targeted for ranking measurement and search location information.

The generation unit 14 can generate a retrieval location name in Japanese/English or in latitude/longitude information by changing the retrieval code. Ranking can be measured even if it is acquired by Furthermore, the generating unit 14 can generate a search code that enables pinpoint ranking measurement, for example, based on the latitude and longitude information, so that it is possible to accurately obtain the result of ranking measurement using a search keyword. .

<Measuring Means S150>
Next, the measurement unit 15 performs rank measurement for each target facility in the Web search service based on the search code generated by the generation unit 14, and acquires the rank measurement result of the target facility (measurement unit S150). The measurement unit 15 launches a web browser (for example, a virtual browser) via the ranking analysis device 3 and executes a search using the search code (search URL) generated by the generation unit 14 . The measurement unit 15 confirms the search ranking based on the facility name that is the target of ranking measurement from the search results obtained using the search code. The measurement unit 15 stores the result of the search ranking of each facility in the temporary storage database as ranking measurement result information.

The measurement unit 15 uses, for example, a search result screen for ranking measurement, various related information displayed on the screen, evidence of the result of ranking measurement for the captured screen, and measurement accuracy of ranking measurement at the target facility in the web search service for ranking measurement, for example. In order to improve the above, it may be stored (stored) in each of the temporary storage database and the captured image database.

The search result screens stored in each of the captured image databases may be used as material for various reports to customers based on, for example, each screen configuration, positional relationship, display contents, and the like. Furthermore, it may be stored in the reference database as a learning model having a relationship between past ranking measurement results obtained in advance and reference information linked to the past ranking measurement results. As a result, the evaluation unit 17 can refer to the reference database and generate evaluation results for the ranking measurement results, thereby improving the measurement accuracy of ranking measurement for target facilities in the web search service for ranking measurement.

<Second obtaining means S160>
As shown in FIG. 8, the second acquisition unit 11b acquires operation posted information based on the ranking measurement result (second acquisition unit S160). Based on the ranking measurement result acquired by the measurement unit 15, the second acquisition unit 11b acquires insight information related to the search operation performed by the searcher of the web search service and the operation indicating the operation performed by the searcher after the search operation. Obtain operation posted information of the target facility including at least information and posted information about the content posted to the target facility.

Various setting information acquired by the second acquisition unit 11 b is stored in the database 4 (setting information database) via the storage unit 19 . For example, the second acquisition unit 11b starts measuring the rank of the target facility based on the search time in the search time data table of the setting information database. Information may be obtained.

<Output Means S170>
Next, the output unit 16 outputs the ranking measurement result and the operation posted information acquired by the measurement unit 15 to the information processing device 1, the customer terminal 2, etc. (output unit S170). The output unit 16 may display, for example, the measured rank and operation posted information in a table/chart for each facility and disclose them to the customer. For example, the output unit 16 operates an address specification search tab (not shown) or an acquisition time tab (not shown) via the customer terminal 2, thereby displaying search results that match each case. may Furthermore, the output unit 16 may display a ranking measurement chart of other companies based on the results of ranking measurement for each facility, for example, based on the data of a competitor ranking data table. The output unit 16 may output either the ranking measurement result acquired by the measurement unit 15 or the operation posted information to the information processing device 1, the customer terminal 2, or the like.

The output unit 16 may display the ranking of the target facility for each month based on the results of the ranking measurement, for example, by combining the calculated search ranking of each facility with the calendar function of the customer terminal 2. . The output unit 16 may browse images captured during ranking measurement, for example, by clicking a file icon (not shown) at the bottom of the screen. A file icon is associated with, for example, a capture URL in a ranking table, and customers (searchers, etc.) who select a file icon can access the associated URL and refer to images stored in the capture image database. may

Further, the output unit 16 may display the insight information for each facility in a graph or the like together with the information of the ranking result, for example. The output unit 16 can output, for example, the acquired store ranking, insight data, and posted insight data in the form of chart graphs, bar graphs, etc., and can also be sent to any e-mail address in a file format such as PDF format. good too. For example, for a customer (company) managing multiple stores, the output unit 16 may group the stores to be managed and output the total value. The output unit 16 associates each facility based on the group ID, group name, and user ID stored in the group data table. output of ranking results for each store”.

This completes the operation of the information processing system 100 according to the present embodiment. Note that the timing of the updating by the updating unit 18 is arbitrary.

Further, according to the present embodiment, the association is constructed by machine learning using past rank measurement result information and reference information as learning data. Therefore, even when evaluating unknown evaluation target information different from past rank measurement result information, quantitative evaluation can be performed. This makes it possible to further improve the evaluation accuracy.

Further, according to the present embodiment, when the update unit 18 newly acquires the relationship between the past evaluation target information and the reference information, the update unit 18 reflects the relationship in the association. Therefore, it is possible to easily update the association, and improve the measurement accuracy of continuous ranking measurement.

Further, according to the present embodiment, the information processing method for measuring the ranking of target facilities in a web search service includes an acquisition step for performing the acquisition step S110, a selection step for performing the selection step S120, a determination step for performing the determination step S130, a generation It can be provided by a generating step performing means S140, a measuring step performing measuring means S150, a second obtaining step performing second obtaining means S160, and an updating step performing output means S170.

While embodiments of the invention have been described, the embodiments have been presented by way of example and are not intended to limit the scope of the invention. These novel embodiments can be implemented in various other forms, and various omissions, replacements, and modifications can be made without departing from the scope of the invention. These embodiments and modifications thereof are included in the scope and gist of the invention, and are included in the scope of the invention described in the claims and equivalents thereof.

1: Information processing device 1a: Display screen 1b: Display screen 2: Customer terminal 3: Rank analysis device 4: Database 5: Communication network 10: Case 11a: Acquisition unit 11b: Second acquisition unit 12: Selection unit 13: Discrimination Unit 14 : Generation unit 15 : Measurement unit 16 : Output unit 17 : Evaluation unit 18 : Update unit 19 : Storage unit 20 : Learning unit 50 : Internet server 60 : Rank measurement server 100 : Information processing system 101 : CPU
102: ROM
103: RAM
104: Storage unit 105: I/F
106: I/F
107: I/F
108: Input unit 109: Display unit 110: Internal bus S110: Acquisition means S120: Selection means S130: Discrimination means S140: Generation means S150: Measurement means S160: Second acquisition means S170: Output means

An information processing system according to a first aspect of the invention is an information processing system that measures the ranking of target facilities in a web search service, and includes identification information for identifying the target facility, a search keyword assigned to each target facility, setting information acquisition means for acquiring setting information including at least search point information for specifying the position of the target facility and time information for starting ranking measurement for each of the target facilities; a setting information database in which the setting information is stored; a selection unit that refers to the setting information database and selects the identification information and the search keyword associated with the identification information; a determination unit for determining the target facility for ranking measurement based on the time information linked to the identification information; and a search for performing the ranking measurement for the target facility in the web search service based on the determination result of the determination unit. generating means for generating a code from the search keyword for each target facility to be ranked and the search location information; and based on the search code generated by the generating means, the web search service Measurement means for measuring the rank of each target facility and acquiring the result of measuring the ranking of the target facility; Acquiring operation posted information of the target facility including at least insight information about the search operation, operation information indicating the operation by the searcher after the search operation, and posted information about the content posted to the target facility. and output means for outputting the ranking measurement result obtained by the measuring means and the operation posted information obtained by the second obtaining means.

An information processing method according to an eighth aspect of the invention is an information processing method for measuring the ranking of target facilities in a web search service, comprising: identification information for identifying the target facility; a search keyword assigned to each target facility; a setting information acquiring step of acquiring setting information including at least search point information specifying the position of the target facility and time information at which ranking measurement is started for each of the target facilities; and a setting information storing step of storing the setting information in a setting information database; a selecting step of referring to the setting information database and selecting the identification information and the search keyword associated with the identification information; a target determination step of determining the target facility for ranking measurement based on the time information associated with the selected identification information; and a ranking of the target facility in the web search service based on the determination result of the target determination step. a generation step of generating a search code for performing measurement based on the search keyword for each of the target facilities to be ranked and the search location information; and based on the search code generated by the generation step a measuring step of measuring the ranking of each target facility in the web search service and obtaining the ranking measurement result of the target facility; of the target facility including at least insight information about the search operation performed by the searcher, operation information indicating the operation by the searcher after the search operation, and posted information about the content posted to the target facility; a second acquisition step of acquiring operation posted information; and an output step of outputting the ranking measurement result acquired by the measuring step and the operation posted information acquired by the second acquisition step. characterized by

Claims (8)

An information processing system for measuring the ranking of target facilities in a web search service,
Identification information that identifies the target facility, a search keyword assigned to each target facility, search point information that specifies the location of the target facility, and time information for starting to measure the ranking for each target facility. an acquisition means for acquiring at least configuration information including;
a setting information database storing the setting information acquired by the acquiring means;
selecting means for referring to the setting information database and selecting the identification information and the search keyword associated with the identification information;
a discrimination means for discriminating the target facility for ranking measurement based on the time information linked to the identification information selected by the selection means;
A search code for measuring the rank of the target facility in the web search service based on the determination result by the determination means, the search keyword for each of the target facilities to be ranked, and the search location information. a generating means for generating by
measuring means for measuring the rank of each target facility in the web search service based on the search code generated by the generating means, and acquiring the ranking measurement result of the target facility;
Insight information regarding a search operation performed by a searcher of the web search service based on the ranking measurement results obtained by the measurement means, and operation information indicating an operation performed by the searcher after the search operation; a second acquisition means for acquiring operation posted information of the target facility including at least posted information about content posted to the target facility;
an output means for outputting the ranking measurement result obtained by the measuring means and the operation posted information obtained by the second obtaining means;
An information processing system characterized by comprising: 2. The information processing system according to claim 1, wherein said search point information acquired by said acquisition means includes latitude and longitude information relating to the position of said target facility. 3. The ranking measurement result obtained by the measurement means includes one or more pieces of map image information indicating search point information of the target facility for which the ranking is to be measured. information processing system. the setting information acquired by the acquisition means further includes a group ID that identifies the target facility;
2. The information processing system according to claim 1, wherein the output unit groups and outputs the operation posted information for each target facility identified by the group ID. a reference database storing a learning model having a relationship between past ranking measurement results obtained in advance and reference information linked to the past ranking measurement results;
5. The information processing system according to any one of claims 1 to 4, further comprising evaluation means for referring to the reference database and generating evaluation results for the ranking measurement results. The learning model is
6. The information processing system according to claim 5, wherein the information processing system is constructed by machine learning using the past ranking measurement results and the reference information as learning data. 7. The method according to claim 5, further comprising update means for reflecting said relationship in said relationship when a relationship between said past ranking measurement result and said reference information is newly acquired. information processing system. An information processing method for ranking a target facility in a web search service, comprising:
Identification information that identifies the target facility, a search keyword assigned to each target facility, search point information that specifies the location of the target facility, and time information for starting to measure the ranking for each target facility. a retrieving step of retrieving configuration information including at least;
a setting information storage step of storing the setting information acquired by the acquiring step in a setting information database;
a selection step of referring to the setting information database and selecting the identification information and the search keyword associated with the identification information;
a target determination step of determining the target facility for ranking measurement based on the time information associated with the identification information selected in the selection step;
Based on the determination result of the object determination step, a search code for measuring the rank of the target facility in the web search service, the search keyword for each of the target facilities to be ranked, and the search location a generating step that generates with the information;
a rank measurement step of measuring the rank of each target facility in the web search service based on the search code generated in the generation step, and obtaining the rank measurement result of the target facility;
Insight information regarding a search operation performed by a searcher of the web search service based on the ranking measurement result acquired in the ranking measurement step, and operation information indicating an operation performed by the searcher after the search operation. a second acquiring step of acquiring operation posted information of the target facility including at least posted information relating to the content posted to the target facility;
an output step of outputting the ranking measurement result obtained by the measuring step and the operation posted information obtained by the second obtaining step;
An information processing method characterized by having

Images