JP7305229B1 - Information processing system - Google Patents

Abstract

An object of the present invention is to make more effective use of product/service evaluation information. An information processing system (10) of the present invention aggregates the number of pieces of evaluation information and evaluation values for each store based on evaluation information including an evaluation value representing the degree of evaluation of a store, totalizing means (12) for calculating a total value obtained by totaling the number of pieces of evaluation information for a store included in the attribute set for each store, and an evaluation total value obtained by totaling the evaluation values contained in the evaluation information into one, and a total value and an evaluation total value in a coordinate space having the number of evaluation information and the evaluation values as respective coordinate axes. and output means 13 for outputting to display the distribution of attributes based on. [Selection drawing] Fig. 2

Description

The present invention relates to an information processing system, an information processing method, and a program.

Websites on the Internet post information about products and services provided by business operators, as well as evaluation information including opinions and evaluation values posted by users who use the products and services. . For example, evaluation information is published on websites such as search sites, reservation sites, word-of-mouth sites, questionnaire sites, weblogs, and SNSs (Social Networking Services).

While general users who are considering using products and services can refer to such evaluation information, it is also extremely important for business operators who provide products and services for future product development and service improvement. information. For this reason, business operators collect and analyze user evaluation information. For example, Patent Literature 1 describes calculating an evaluation score based on the number or ratio of positive evaluation information and negative evaluation information, and representing the evaluation score in a time-series line graph.

JP 2022-12615 A

However, the method of Patent Literature 1 described above targets the evaluation information of one store, and it is difficult to collectively analyze the evaluation information of a plurality of stores. Moreover, it is difficult to collectively analyze not only the evaluation information of the store but also the evaluation information of all products and services. As a result, there arises a problem that the evaluation information cannot be used more effectively by the user.

Therefore, an object of the present invention is to solve the above-described problem that the evaluation information of products/services cannot be used more effectively.

An information processing system that is one embodiment of the present invention includes:
Based on the evaluation information including the evaluation value representing the degree of evaluation of the store, for each of the stores, the number of the evaluation information and the evaluation value are aggregated, and for each attribute set for the store, the totaling means for calculating a total value obtained by totaling the number of the evaluation information for the store included in the attribute and an evaluation total value obtained by totaling the evaluation values contained in the evaluation information;
output means for outputting to display the attribute distribution based on the total value and the evaluation aggregate value in a coordinate space having the number of the evaluation information and the evaluation value as coordinate axes;
with
take the configuration.

Further, an information processing method, which is one embodiment of the present invention, comprises:
Based on the evaluation information including the evaluation value representing the degree of evaluation of the store, for each of the stores, the number of the evaluation information and the evaluation value are aggregated, and for each attribute set for the store, the Calculating a total value obtained by totaling the number of the evaluation information for the store included in the attribute and an evaluation aggregate value obtained by aggregating the evaluation values included in the evaluation information,
Outputting to display the distribution of the attribute based on the total value and the aggregated evaluation value in a coordinate space having the number of the evaluation information and the evaluation value as coordinate axes, respectively;
take the configuration.

Further, a program that is one embodiment of the present invention is
Based on the evaluation information including the evaluation value representing the degree of evaluation of the store, for each of the stores, the number of the evaluation information and the evaluation value are aggregated, and for each attribute set for the store, the Calculating a total value obtained by totaling the number of the evaluation information for the store included in the attribute and an evaluation aggregate value obtained by aggregating the evaluation values included in the evaluation information,
Outputting to display the distribution of the attribute based on the total value and the aggregated evaluation value in a coordinate space having the number of the evaluation information and the evaluation value as coordinate axes, respectively;
Have a computer do the work
take the configuration.

According to the present invention configured as described above, it is possible to make more effective use of evaluation information on products and services.

It is a figure showing the whole information processing system composition in Embodiment 1 of the present invention. 2 is a functional block diagram showing the configuration of a management server disclosed in FIG. 1; FIG. FIG. 2 is a diagram showing how the management server disclosed in FIG. 1 performs processing; FIG. 2 is a diagram showing how the management server disclosed in FIG. 1 performs processing; FIG. 2 is a diagram showing how the management server disclosed in FIG. 1 performs processing; FIG. 2 is a diagram showing how the management server disclosed in FIG. 1 performs processing; FIG. 2 is a diagram showing how the management server disclosed in FIG. 1 performs processing; FIG. 2 is a diagram showing how the management server disclosed in FIG. 1 performs processing; 2 is a flow chart showing the operation of the management server disclosed in FIG. 1; It is a figure which shows the mode of the process by the management server in Embodiment 2 of this invention. It is a figure which shows the mode of the process by the management server in Embodiment 2 of this invention. It is a figure which shows the mode of the process by the management server in Embodiment 2 of this invention.

<Embodiment 1>
A first embodiment of the present invention will be described with reference to FIGS. 1 to 8. FIG. 1 to 2 are diagrams for explaining the configuration of the information processing system, and FIGS. 3 to 8 are diagrams for explaining the processing operations of the information processing system.

[composition]
The information processing system according to the present invention is for collecting evaluation information posted on websites such as posting sites called word-of-mouth sites and search sites. The information processing system is composed of a management server 10, a posting site server 20, and a business operator terminal 30, which are connected via a network N, as shown in FIG. Each configuration will be described in detail below.

The posting site server 20 is an information processing device managed by a business operator that provides a service for disclosing evaluation information, and establishes a website such as a posting site on the Internet. In this embodiment, the posting site provided by the posting site server 20 publishes information on stores such as restaurants, and publishes evaluation information posted by users who have used the stores. For example, the evaluation information posted and published by the user includes sentence information in which the user evaluates the store in sentences, and an evaluation value that quantifies the degree of evaluation of the store by the user. For example, the text information may include keywords related to the services and offerings provided by the store. Examples of keywords for a store that is a "pharmacy" include "prescription", "dispensing", " pharmacist”, etc. Also, the evaluation value is set to a numerical value of "0 to 5" as an example, and the larger the numerical value, the higher the evaluation. However, the evaluation value may be represented by any range of values, and may be represented by any information without being limited to numerical values.

Also, the evaluation information includes time information. For example, the time information is information representing time such as the date when the user used the store or the date when the evaluation information was posted by the user. The time information is included in the evaluation information, for example, by being input by the user together with the evaluation information at the time of posting, or by being given by the posting site server 20 when the evaluation information is posted.

Also, the evaluation information includes access information indicating how the user who posted the evaluation information accesses the store. For example, the access information is information representing how the user acquired information about the store, how the user made an inquiry to the store, how the user visited the store, and the like. For example, the access information includes information such as "website" as a method of obtaining store information, "telephone" as a method of inquiring about the store, and "route guidance" as a method of visiting the store. The access information can be added to the evaluation information by the posting site server 20 . For example, on the posting site, the posting site server 20 publishes, as information on the store, the address information of the website of the store, the telephone number of the store, and the route guidance information on the map to the store as access information. When a user uses his/her identification information to log in to the posting site and selects store access information, the selected access information is associated with the user's identification information. After that, when the same user logs in to the posting site and posts evaluation information on the store, access information associated with the user is added to the evaluation information. However, the access information may be input by the user together with the evaluation information at the time of posting.

Note that the evaluation information handled by the posting site provided by the posting site server 20 is not limited to the information about stores such as pharmacies and restaurants described above, and may be information about stores of any business type. It may be evaluation information for a service (target). Furthermore, the evaluation information is not limited to information about shops and products, and may be information about any object.

Also, the number of posting site servers 20 is not limited to one, and there may be a plurality of posting site servers 20 each having a different posting site. Therefore, the evaluation information for the same store may be posted and published on each posting site established by each posting site server 20 .

Also, the posting site server 20 is not necessarily limited to publishing the evaluation information on a website or the like. For example, the posting site server 20 may be a server that establishes a questionnaire site or a settlement site and merely acquires evaluation information from users.

The business operator terminal 30 is an information processing terminal operated by a person who analyzes the evaluation information of the shop in the business operator who operates the shop. Then, the business terminal 30 accesses the management server 10, and displays and analyzes the result of counting the store evaluation information by the management server 10, as will be described later.

Here, in this embodiment, it is assumed that a business operator who operates a store operates a plurality of stores. For example, assume that a business operator operates 50 stores, and analyzes the aggregate results of the evaluation information of these stores. However, a business operator that operates a store may only operate one store, and analyzes the aggregation results of evaluation information of multiple stores, including its own store and stores of other business operators. may

The management server 10 is composed of one or a plurality of information processing devices each having an arithmetic device and a storage device. And the management server 10 is provided with the acquisition part 11, the aggregation part 12, and the output part 13, as shown in FIG. Each function of the acquisition unit 11, the aggregation unit 12, and the output unit 13 can be realized by executing a program for realizing each function stored in the storage device by the arithmetic device. The management server 10 also includes an evaluation information storage unit 16 . The evaluation information storage unit 16 is configured by a storage device. Each configuration will be described in detail below.

The acquisition unit 11 (acquisition means) accesses the posting site server 20 to acquire evaluation information published on each posting site, and stores the evaluation information in the evaluation information storage unit 16 . At this time, the acquisition unit 11 acquires the evaluation information for each store from the posting site server 20 and stores it in the evaluation information storage unit 16 . At this time, the number of evaluation information for each store is usually a plurality of numbers, but may be 0 or 1 when the number of posts is small. Note that when there are a plurality of posting site servers 20 , the acquisition unit 11 acquires evaluation information for each store from each posting site server 20 .

Here, in the present embodiment, a plurality of stores are operated by the same business operator, and in this case, the acquiring unit 11 stores in advance a store group associated with the plurality of stores. For this reason, the acquiring unit 11 acquires the evaluation information corresponding to each of the plurality of stores forming the store group from the posting site server 20, and collectively stores the acquired evaluation information for the store group of the plurality of stores. Store in section 16 .

The tallying unit 12 (summing means) tallies the evaluation information stored in the evaluation information storage unit 16 . For example, the tallying unit 12 tallies the number of pieces of evaluation information and the evaluation value for each store with respect to the evaluation information of a plurality of stores that constitute a predetermined store group. Specifically, the tabulation unit 12 first counts and calculates the number of evaluation information for each store. In addition, the counting unit 12 calculates the average value of the evaluation values represented by the numerical values for each store, and calculates the average value as the evaluation total value. As a result, one piece of evaluation information and one evaluation total value are generated for each store. However, the aggregate evaluation value is not limited to being the average value of the evaluation values for each store, such as the most frequent evaluation value for each store, or the average value of evaluation values randomly extracted from the evaluation values for each store. , may be a value aggregated by any method.

Moreover, the counting unit 12 counts the number of pieces of evaluation information and the evaluation value for each attribute according to the attribute set for each store. Here, an attribute value corresponding to the store is given to the store for each type of attribute set in advance. Types of attributes include store name, prefecture (location), brand, franchisee, area manager, location, availability of parking lot, and the like. For this reason, for each type of attribute as described above, the store name, the name of the prefecture where it is located, the brand name of the store itself, the name of the franchisee who manages the store, and the area manager who manages the store are stored as attribute values. Information such as the name (name of the person in charge), the location such as downtown or suburbs, and the presence or absence of a parking lot is set. Information specific to a store such as the store name may be excluded from the attribute types. That is, an attribute may be a feature to which multiple stores may belong.

Then, the tabulation unit 12 tabulates the evaluation information of the store for which the attribute value is set for each attribute value in each attribute type. As an example, for an attribute type such as prefecture, for an attribute such as Tokyo, based on the evaluation information for all stores with the attribute of Tokyo, the total number of evaluation information and the evaluation and an evaluation aggregate value obtained by aggregating the evaluation values included in the information into one. As a result, one total value of the number of evaluation information and one evaluation total value are generated for one attribute, that is, for all prefectures. Similarly, the tabulation unit 12 calculates the total number of pieces of evaluation information and the tabulated evaluation value for each attribute such as each brand name and each franchisee. Since the store name is also an attribute, the number of evaluation information items and the aggregate evaluation value calculated for each store as described above can be said to be the total number of evaluation information items and the aggregate evaluation value for each attribute.

Further, the counting unit 12 classifies each attribute into a preset evaluation group for each type of attribute based on the total value of the number of evaluation information calculated for each attribute as described above and the total evaluation value. . For example, the evaluation groups are classified by thresholds set for the total number of pieces of evaluation information and the total evaluation value. As an example, when the type of attribute is a store name, "evaluation group A: evaluation total value 3.7 or more, number of evaluation information: 20 or more", "evaluation group B: evaluation total value less than 3.7, Three groups are set such as "number of evaluation information: 20 or more" and "evaluation group C: number of evaluation information: less than 20". In this case, evaluation group A is a group judged to have a sufficient number of evaluation information and a good evaluation value, and evaluation group B has a sufficient amount of evaluation information but a poor evaluation value. , and evaluation group C has an insufficient number of evaluation information, and can be said to be a group that is difficult to evaluate. Note that the aggregated evaluation value for classifying evaluation groups and the threshold for the number of evaluation information can be changed depending on the type of target attribute, the number of collected evaluation information, and the evaluation value. For example, if the attribute type is prefecture, multiple shops belong to each prefecture, and the number of evaluation information for each prefecture can be large. can also be set large.

Note that the aggregation unit 12 may aggregate the evaluation information for each attribute described above in advance, and as described later, when the attribute type is selected from the operator terminal 30, Evaluation information may be aggregated for each attribute. Further, when a period is set, the counting unit 12 may count the evaluation information within the set period based on the time information included in the evaluation information. Alternatively, the tallying unit 12 may tally the evaluation information for each preset period, for example, for one month. However, the tallying unit 12 may tally the evaluation information for any period and at any timing.

The output unit 13 (output means) outputs the tabulation results tabulated as described above so as to be displayed on the display device of the business operator terminal 30 . Specifically, as shown in FIG. 3A, the output unit 13 corresponds to the total value of the number of pieces of evaluation information for each attribute and the total evaluation value on a coordinate plane having the number of pieces of evaluation information and the evaluation value as coordinate axes. The distribution of each attribute is displayed on the coordinate plane by displaying circle marks at the coordinates. At this time, the output unit 13 displays an attribute selection field R for selecting the type of attribute on the business operator terminal 30, as indicated by symbol R in FIG. Therefore, the output unit 13 receives the selection of the attribute type from the business operator terminal 30 entered in the attribute selection field R, and displays the distribution of attributes included in the selected attribute type. For example, in the example of FIG. 3, since the attribute type "store" is selected in the attribute selection column R, the distribution of each store is displayed. Since the type is selected, the distribution of each prefecture is displayed based on the aggregate results for each prefecture.

Further, when displaying the attribute distribution, the output unit 13 displays the attribute distribution so that the evaluation groups into which the attributes are classified can be identified. For example, the output unit 13 displays each attribute by color-coding for each evaluation group. FIG. 3A is an example in which the type of attribute is a store, and each store is defined as "evaluation group A: total evaluation value 3.7 or more, number of evaluation information: 20 or more", "evaluation group B: total evaluation value 3. Less than 7, the number of evaluation information: 20 or more", and "Evaluation group C: The number of evaluation information: less than 20". Ga) is displayed in black, evaluation group B (Gb) is displayed in gray, and evaluation group C (Gc) is displayed in white. Further, FIG. 4 is an example in which the type of attribute is prefectures, and each prefecture is defined as "evaluation group A: total evaluation value 3.7 or more, number of evaluation information: 300 or more", "evaluation group B : total evaluation value less than 3.7, number of evaluation information: 300 or more", and "evaluation group C: number of evaluation information: less than 300". Evaluation group A (Ga) is displayed in black, evaluation group B (Gb) in gray, and evaluation group C (Gc) in white. Note that the method of displaying the evaluation groups into which the attributes are classified so as to be identifiable is not limited to the color coding as described above, and any method may be used. For example, as shown in FIG. 3B, the output unit 13 may display lines (dotted lines in FIG. 3B) corresponding to the thresholds described above on the coordinate plane, and identify the evaluation groups in the areas separated by the lines. . In addition, the output unit 13 displays each area divided by lines corresponding to the threshold values on the coordinate plane as shown in FIG. You may Note that when each region is color-coded to identify an evaluation group, the dotted line as shown in FIG. 3B may not be displayed.

In addition, when an attribute is selected from the business operator terminal 30 on the coordinate plane described above, the output unit 13 displays information about the store included in the attribute. For example, in an example where the type of attribute shown in FIG. 5 is a store, when a circle mark of a certain store is selected by the business operator's operation, "AA store AA branch (store name), evaluation: 3.0 (evaluation value), number of cases: 87 (number of evaluation information)" is displayed in a pop-up. Further, in the example shown in FIG. 6 where the type of attribute is prefectures, when a circle mark of a certain prefecture is selected by the business operator's operation, "Tokyo Capital (prefecture name), evaluation: 3.85 (evaluation value), number of cases: 1050 (total number of evaluation information)” is displayed in a pop-up. At this time, the "evaluation" and the "number of cases" are the total value of the number of evaluation information for all stores belonging to the selected prefecture of Tokyo, and the total evaluation value obtained by totalizing the evaluation values. In addition, when a plurality of stores belong to the selected attribute, information such as store names of all or part of the stores may be displayed in the popup.

Furthermore, the output unit 13 also displays text information included in the evaluation information for the store included in the attribute as the information on the selected attribute. For example, when displaying the information of the attribute (Tokyo) selected by mouse over as shown in FIG. indicate. Then, when such a link is selected by clicking on the operator terminal 30, the output unit 13, as shown in FIG. to list . At this time, the list of word-of-mouth information includes the store name of the store to be evaluated, the name of the posting site to which the evaluation information was posted, the evaluation value, text information representing the content of the evaluation, the date and time, the name of the contributor, and the like.

[motion]
Next, the operation of the information processing system described above, particularly the operation of the management server 10 will be described mainly with reference to the flowchart in FIG.

First, on the posting site server 20, evaluation information about stores is posted by users on the posting site and made public, and can be viewed by general users.

The management server 10 acquires evaluation information published on each posting site from the posting site server 20 periodically or at an arbitrary timing (step S1). Then, the management server 10 stores the evaluation information acquired from the posting site server 20 for each store.

After that, the management server 10 aggregates the evaluation information for the set period (step S2). At this time, the management server 10 calculates the total number of pieces of evaluation information and the total evaluation value for each attribute such as each store or prefecture, and classifies the attributes into each evaluation group based on the calculated values.

Then, the management server 10 outputs the aggregate result of the evaluation information so as to be displayed on the business operator terminal 30 (step S3). For example, the management server 10 displays the distribution of each attribute based on the total number of pieces of evaluation information for each attribute and the total evaluation value for the types of attributes selected from the provider terminal 30 . At this time, the management server 10 displays each attribute in a color corresponding to the evaluation group into which the attribute is classified. For example, as shown in FIG. 3A, the distribution of each store is displayed in different colors according to the evaluation group, and as shown in FIG. 4, the distribution of each prefecture is displayed in different colors according to the evaluation group. When the type of attribute is changed in the attribute selection field R by the business operator terminal 30, the management server 10 displays the distribution of attributes included in the type of attribute after the change.

Also, when an attribute is selected on the coordinate plane by the business operator terminal 30 (Yes in step S4), the management server 10 displays information about the store included in the attribute (step S5). For example, as shown in FIG. 6, when a circle mark of a certain prefecture (Tokyo) on the coordinate plane is selected by an operation from the operator terminal 30 by mouseover, the prefecture information is " Tokyo (prefecture name), evaluation: 3.85 (evaluation value), number of cases: 1050 (total number of evaluation information)” is displayed in a pop-up. Furthermore, when the operator terminal 30 selects "view word of mouth" displayed by the pop-up, the management server 10, as shown in FIG. Display a list of word-of-mouth information.

As described above, according to the present invention, the number of pieces of evaluation information and evaluation values for each store attribute are totaled from the evaluation information for a plurality of stores, and the total result is output as the attribute distribution. Therefore, the business operator can obtain the distribution of evaluations for each attribute of the store, which can be used as a reference for future improvement. As a result, the evaluation information can be used more effectively.

<Embodiment 2>
Next, a second embodiment of the invention will be described with reference to FIGS. 9 to 11. FIG. 9 to 11 are diagrams for explaining the processing operation of the information processing system.

An information processing system according to the present embodiment, in particular, the management server 10 has a configuration substantially similar to that described in the first embodiment. In addition to this, the management server 10 in this embodiment has the following configuration.

First, the management server 10 in the present embodiment has a function for enabling comparison between evaluation information of shops belonging to a highly evaluated evaluation group and evaluation information of shops belonging to other evaluation groups. For example, FIG. 9 is an example in which the attribute type is prefectures, and shows the distribution of evaluation information for each prefecture. By comparing the evaluation information of stores belonging to prefectures of evaluation group B with low evaluation values, information such as operation, customer service, measures, know-how, etc. of stores belonging to evaluation group A is provided to stores of evaluation group B. It can be considered that the sales amount of the stores belonging to the evaluation group B can be increased. Alternatively, it is conceivable that the points of difference between the stores belonging to the evaluation group A and the stores belonging to the evaluation group B can be specified, and the identified differences can be used to improve the stores belonging to the evaluation group B and increase the sales amount. You might also say that. From such a point of view, the management server 10 in this embodiment has the following configuration.

The counting unit 12 of the management server 10 in the present embodiment analyzes the evaluation information of the stores belonging to the evaluation group for each evaluation group, and the sentence information included in the evaluation information and the information based on the evaluation value are associated with each other. Generate rating information. In particular, based on the evaluation information, the tabulation unit 12 generates text evaluation information by associating a keyword included in the text information with a rate for each category in which evaluation values are classified.

Specifically, the tabulation unit 12 extracts text information and an evaluation value included in each evaluation information for a store for each evaluation group, and first extracts a preset keyword from the text information. For example, if the store is a "pharmacy", keywords are "prescription", "dispensing", and "pharmacist". Then, the tabulating unit 12 classifies the evaluation values of the evaluation information including the keyword for each keyword according to the value. For example, a classification threshold for the evaluation value is set in advance, and when the evaluation value is equal to or greater than the classification threshold, the evaluation value is classified into a high evaluation classification, and when the evaluation value is less than the classification threshold, the classification is classified into a low evaluation classification. Further, the tabulation unit 12 calculates, for each evaluation group and for each keyword, the ratio between the high classification and the low classification in which the evaluation value of the evaluation information including the keyword is classified.

Here, FIG. 10 shows an example of generated text evaluation information generated for each evaluation group. In this figure, 1271 pieces of evaluation information are extracted for the stores belonging to the evaluation group A, and 1146 pieces of evaluation information for the stores belonging to the evaluation group B are extracted. Evaluation information including the keywords "prescription", "dispensing", and "pharmacist" is extracted from the text information of each evaluation information by distinguishing between evaluation group A and evaluation group B, and the evaluation information is evaluated for each keyword. It determines whether the value is higher or lower than the threshold, and calculates the ratio between the classification with high evaluation value and the classification with low evaluation value. In the example of FIG. 10, regarding the keyword “prescription”, the evaluation information for the stores belonging to the evaluation group A shows that 83% of the stores have a high evaluation, and 17% have a low evaluation. In the information, 79% of the categories have high ratings and 21% have low ratings.

Then, the output unit 13 of the management server 10 according to the present embodiment outputs the text evaluation information generated as described above so as to be displayed on the operator terminal 30 by classifying each evaluation group. In particular, the output unit 13 outputs the text evaluation information corresponding to the same keyword so that it can be compared between different evaluation groups. For example, as shown in FIG. 10, the output unit 13 can compare the evaluations by displaying the classification ratios of the evaluations for the same keyword in the evaluation group A and the evaluation group B side by side. .

Here, in the example of FIG. 10, the evaluations of evaluation group A and evaluation group B are compared. As for the keyword “prescription”, it can be seen that the ratios of high-evaluation categories and low-evaluation categories are almost the same. On the other hand, regarding the keyword "pharmacist", in the evaluation information for the stores belonging to the evaluation group A, 75% of the categories have high evaluations, and 25% have low evaluations. There are 29% of categories with high ratings and 71% with low ratings. Comparing the evaluations of the keyword "pharmacist" between the evaluation group A and the evaluation group B, it can be seen that the ratios of the high-evaluation categories and the low-evaluation categories are opposite. In other words, evaluation values including the keyword "pharmacist" tend to be high for stores in evaluation group A, while evaluation values including the keyword "pharmacist" tend to be low for stores in evaluation group B. Recognize.

Further, the output unit 13 may receive the comparison result, extract the evaluation information including the keyword “pharmacist”, and output the evaluation information to the business operator terminal 30 . For example, if the output unit 13 satisfies a predetermined criterion, such as the ratio of high-evaluation classifications and low-evaluation classifications being opposite to each other for the same keyword as described above, the keyword may be extracted and output. As a result, the business side compares the evaluation information including the keyword "pharmacist" for the store belonging to the evaluation group A with the evaluation information including the keyword "pharmacist" for the store belonging to the evaluation group B, and finds the difference. The analysis can be used to improve the management of the stores belonging to the evaluation group B.

In the example of FIG. 10 described above, the evaluation values of the evaluation information including the same keyword in the text information are compared between the evaluation groups. You may compare the evaluation value of the evaluation information provided between evaluation groups. Further, the evaluation value of the evaluation information including the text information is not limited to satisfying the criteria that the keywords in the text information are the same characters or have the same meaning, but when the text information satisfies some preset criteria. , may be compared between evaluation groups.

Note that the management server 10 may extract evaluation information for each of three or more evaluation groups and compare the evaluation information among the three or more evaluation groups. In addition, the management server 10 extracts the evaluation information of stores belonging to a predetermined evaluation group such as the highest evaluation group or the lowest evaluation group among the classified evaluation groups, and presents it to the business operator. can be output to Moreover, the management server 10 may extract information other than the evaluation information about the shops belonging to a predetermined evaluation group among the classified evaluation groups. For example, the management server 10 extracts operational information, such as customer service methods, purchase methods, price setting methods, know-how, etc., associated with stores belonging to the highest evaluation group and registered in advance. , may be presented to the operator.

Moreover, the management server 10 in this embodiment further includes the following configuration. First, the tallying unit 12 of the management server 10 tallies the access information included in the evaluation information for the stores belonging to the attribute classified into each evaluation group. For example, the counting unit 12 classifies access information included in the evaluation information for each evaluation group by type (route guidance, telephone, website, etc.), Calculate the percentage of numbers. At this time, the counting unit 12 may count the access information for the evaluation information for each fixed period such as every month. However, the method of collecting access information may be any method.

Then, the output unit 13 of the management server 10 in this embodiment outputs the user's access status to the shops belonging to each evaluation group, that is, the access information collected as described above, so as to be displayed on the operator terminal 30. . For example, as shown in FIG. 11, the output unit 13 may display the number of stores belonging to each month and each evaluation group, as well as the ratio of each access type to the number of evaluation information. good. In the example of FIG. 11, for stores belonging to evaluation group B in December, among users who posted evaluation information, 0.70% used route guidance, and 0.70% used telephone. 28%, 0.55% of users who used the website, and so on.

Although the present invention has been described with reference to the above-described embodiments and the like, the present invention is not limited to the above-described embodiments. Various changes that can be understood by those skilled in the art can be made to the configuration and details of the present invention within the scope of the present invention. At least one of the functions of the acquisition unit 11, totalization unit 12, output unit 13, and evaluation information storage unit 16 described above is executed by an information processing apparatus installed and connected anywhere on the network. may be implemented in so-called cloud computing.

It should be noted that the programs described above can be stored and supplied to computers using various types of non-transitory computer readable media. Non-transitory computer-readable media include various types of tangible storage media. Examples of non-transitory computer-readable media include magnetic recording media (eg, flexible discs, magnetic tapes, hard disk drives), magneto-optical recording media (eg, magneto-optical discs), CD-ROMs (Read Only Memory), CD-Rs, CD-R/W, semiconductor memory (eg, mask ROM, PROM (Programmable ROM), EPROM (Erasable PROM), flash ROM, RAM (Random Access Memory)). The program may also be delivered to the computer on various types of transitory computer readable medium. Examples of transitory computer-readable media include electrical signals, optical signals, and electromagnetic waves. Transitory computer-readable media can deliver the program to the computer via wired channels, such as wires and optical fibers, or wireless channels.

<Appendix>
Some or all of the above embodiments may also be described as the following appendices. An outline of the configuration of an information processing system, an information processing method, and a program according to the present invention will be described below. However, the present invention is not limited to the following configurations.
(Appendix 1)
Based on the evaluation information including the evaluation value representing the degree of evaluation of the store, for each of the stores, the number of the evaluation information and the evaluation value are aggregated, and for each attribute set for the store, the totaling means for calculating a total value obtained by totaling the number of the evaluation information for the store included in the attribute and an evaluation total value obtained by totaling the evaluation values contained in the evaluation information;
output means for outputting to display the attribute distribution based on the total value and the evaluation aggregate value in a coordinate space having the number of the evaluation information and the evaluation value as coordinate axes;
Information processing system with
(Appendix 2)
The information processing system according to Appendix 1,
The output means receives a selection of the attribute type, and outputs to display the attribute distribution for the selected attribute type.
Information processing system.
(Appendix 3)
The information processing system according to Appendix 1 or 2,
the aggregation means classifies the attributes into groups based on the total value and the aggregate evaluation value;
The output means outputs to display the distribution of the attributes so that the groups can be identified.
Information processing system.
(Appendix 4)
The information processing system according to Appendix 3,
The output means outputs to display the attribute distribution by color-coding for each of the groups.
Information processing system.
(Appendix 5)
The information processing system according to any one of Appendices 1 to 4,
The output means outputs to display the information of the store included in the attribute selected on the coordinate space.
Information processing system.
(Appendix 6)
The information processing system according to appendix 5,
The output means outputs to display the evaluation information including text information evaluating the store in text as the information of the store included in the attribute selected on the coordinate space.
Information processing system.
(Appendix 7)
The information processing system according to any one of Appendices 1 to 6,
The aggregation means classifies the attributes into groups based on the total value and the aggregated evaluation value, and for each group, writes sentence information obtained by evaluating the stores included in the group in sentences, generating sentence evaluation information in which information based on the evaluation value is associated;
The output means outputs the text evaluation information so as to be displayed separately for each group.
Information processing system.
(Appendix 8)
The information processing system according to appendix 7,
For each group, the aggregation means generates the text evaluation information in which a keyword extracted from the text information evaluating the store included in the group is associated with information based on the evaluation value for the store.
Information processing system.
(Appendix 9)
The information processing system according to appendix 8,
For each group, the aggregating means generates the text evaluation information in which the keyword extracted from the text information of the store included in the group is associated with the rate of each category in which the evaluation value for the store is classified. generate,
Information processing system.
(Appendix 10)
The information processing system according to appendix 8 or 9,
The output means outputs the text evaluation information corresponding to the same keyword so as to be displayed so as to allow comparison between the different groups.
Information processing system.
(Appendix 11)
The information processing system according to Appendix 3,
said totaling means acquires access information representing an access method to said store by a user who has input said evaluation information, and totals said access information of said store belonging to said group for each said group;
wherein the output means outputs the access information separately for each group;
Information processing system.
(Appendix 12)
Based on the evaluation information including the evaluation value representing the degree of evaluation of the store, for each of the stores, the number of the evaluation information and the evaluation value are aggregated, and for each attribute set for the store, the Calculating a total value obtained by totaling the number of the evaluation information for the store included in the attribute and an evaluation aggregate value obtained by aggregating the evaluation values included in the evaluation information,
Outputting to display the distribution of the attribute based on the total value and the aggregated evaluation value in a coordinate space having the number of the evaluation information and the evaluation value as coordinate axes, respectively;
Information processing methods.
(Appendix 13)
Based on the evaluation information including the evaluation value representing the degree of evaluation of the store, for each store, the number of the evaluation information and the evaluation value are aggregated, and for each attribute set for the store, the Calculating a total value obtained by totaling the number of the evaluation information for the store included in the attribute and an evaluation aggregate value obtained by aggregating the evaluation values included in the evaluation information,
Outputting to display the distribution of the attribute based on the total value and the aggregated evaluation value in a coordinate space having the number of the evaluation information and the evaluation value as coordinate axes, respectively;
A program that causes a computer to execute a process.

10 Management server 11 Acquisition unit 12 Aggregation unit 13 Output unit 16 Evaluation information storage unit 20 Posting site server 30 Business operator terminal

Claims (13)

Based on the evaluation information including the evaluation value representing the degree of evaluation of the store, for each of the stores, the number of the evaluation information and the evaluation value are aggregated, and for each attribute set for the store, the totaling means for calculating a total value obtained by totaling the number of the evaluation information for the store included in the attribute and an evaluation total value obtained by totaling the evaluation values contained in the evaluation information;
output means for outputting to display the attribute distribution based on the total value and the evaluation aggregate value in a coordinate space having the number of the evaluation information and the evaluation value as coordinate axes;
Information processing system with The information processing system according to claim 1,
The output means receives a selection of the attribute type, and outputs to display the attribute distribution for the selected attribute type.
Information processing system. The information processing system according to claim 1,
the aggregation means classifies the attributes into groups based on the total value and the aggregate evaluation value;
The output means outputs to display the distribution of the attributes so that the groups can be identified.
Information processing system. The information processing system according to claim 3,
The output means outputs to display the attribute distribution by color-coding for each of the groups.
Information processing system. The information processing system according to claim 1,
The output means outputs to display the information of the store included in the attribute selected on the coordinate space.
Information processing system. The information processing system according to claim 5,
The output means outputs to display the evaluation information including text information evaluating the store in text as the information of the store included in the attribute selected on the coordinate space.
Information processing system. The information processing system according to claim 1,
The aggregation means classifies the attributes into groups based on the total value and the aggregated evaluation value, and for each group, writes sentence information obtained by evaluating the stores included in the group in sentences, generating sentence evaluation information in which information based on the evaluation value is associated;
The output means outputs the text evaluation information so as to be displayed separately for each group.
Information processing system. The information processing system according to claim 7,
For each group, the aggregation means generates the text evaluation information in which a keyword extracted from the text information evaluating the store included in the group is associated with information based on the evaluation value for the store.
Information processing system. The information processing system according to claim 8,
For each group, the aggregating means generates the text evaluation information in which the keyword extracted from the text information of the store included in the group is associated with the rate of each category in which the evaluation value for the store is classified. generate,
Information processing system. The information processing system according to claim 8,
The output means outputs the text evaluation information corresponding to the same keyword so as to be displayed so as to allow comparison between the different groups.
Information processing system. The information processing system according to claim 3,
said totaling means acquires access information representing an access method to said store by a user who has input said evaluation information, and totals said access information of said store belonging to said group for each said group;
wherein the output means outputs the access information separately for each group;
Information processing system. The information processing device
Based on the evaluation information including the evaluation value representing the degree of evaluation of the store, for each of the stores, the number of the evaluation information and the evaluation value are aggregated, and for each attribute set for the store, the Calculating a total value obtained by totaling the number of the evaluation information for the store included in the attribute and an evaluation aggregate value obtained by aggregating the evaluation values included in the evaluation information,
Outputting to display the distribution of the attribute based on the total value and the aggregated evaluation value in a coordinate space having the number of the evaluation information and the evaluation value as coordinate axes, respectively;
Information processing methods. Based on the evaluation information including the evaluation value representing the degree of evaluation of the store, for each of the stores, the number of the evaluation information and the evaluation value are aggregated, and for each attribute set for the store, the Calculating a total value obtained by totaling the number of the evaluation information for the store included in the attribute and an evaluation aggregate value obtained by aggregating the evaluation values included in the evaluation information,
Outputting to display the distribution of the attribute based on the total value and the aggregated evaluation value in a coordinate space having the number of the evaluation information and the evaluation value as coordinate axes, respectively;
A program that causes a computer to execute a process.

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