JP7199122B1 - 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 acquires evaluation information including an evaluation value representing the degree of evaluation of a target by a user who used the predetermined target, and sales information including the sales amount of the target. Acquisition means 11, Aggregation means 12 for aggregating evaluation values and sales amounts for each object based on the acquired evaluation information and sales information, and Output means for outputting the aggregation results of evaluation information and sales information for a plurality of objects. 13 and. [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:
Acquisition means for acquiring evaluation information including an evaluation value representing the degree of evaluation of a predetermined target by a user who has used the target, and sales information including the sales amount of the target;
Aggregation means for aggregating the evaluation value and the sales amount for each target based on the acquired evaluation information and sales information;
output means for outputting the aggregated results of the evaluation information and the sales information for the plurality of targets;
with
take the configuration.

Further, an information processing method, which is one embodiment of the present invention, comprises:
Acquiring evaluation information including an evaluation value representing the degree of evaluation of a predetermined target by a user who has used the target, and sales information including the sales amount of the target,
Aggregating the evaluation value and the sales amount for each target based on the acquired evaluation information and sales information,
outputting aggregated results of the evaluation information and the sales information for a plurality of the targets;
take the configuration.

Further, a program that is one embodiment of the present invention is
Acquiring evaluation information including an evaluation value representing the degree of evaluation of a predetermined target by a user who has used the target, and sales information including the sales amount of the target,
Aggregating the evaluation value and the sales amount for each target based on the acquired evaluation information and sales information,
outputting aggregated results of the evaluation information and the sales information for a plurality of the targets;
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; 2 is a flow chart showing the operation of the management server disclosed in FIG. 1;

<Embodiment 1>
A first embodiment of the present invention will be described with reference to FIGS. 1 to 7. FIG. 1 to 2 are diagrams for explaining the configuration of the information processing system, and FIGS. 3 to 7 are diagrams for explaining the processing operation of the information processing system.

[Constitution]
The information processing system according to the present invention is for collecting and using 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 includes information on stores such as pharmacies, restaurants, beauty salons, and lodging facilities, as well as evaluation information posted by users who use the stores. is published. For example, evaluation information posted and made public by users includes text information that expresses the content of evaluations of stores, such as impressions of services and offerings received by users at stores (targets), as well as the degree of evaluation of stores. It is assumed that a numerical evaluation value that represents is included. As an example, the text information may include keywords related to the services and offerings provided by the store. There is Also, as an example, the evaluation value is set to a value of "0 to 5", and the larger the numerical value, the higher the degree of 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.

Note that the evaluation information handled by the posting site provided by the posting site server 20 is not limited to information about shops such as pharmacies, restaurants, beauty salons, and lodging facilities, and may be information about shops of any type. Alternatively, it may be evaluation information for a product or 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 set up a questionnaire site or a payment site and simply acquire 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, displays and analyzes the aggregation result of the evaluation information of the store by the management server 10, and acquires the information analyzed 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, the output part 13, and the analysis part 14, as shown in FIG. Each function of the acquisition unit 11, the aggregation unit 12, the output unit 13, and the analysis unit 14 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 and a sales information storage unit 17 . The evaluation information storage unit 16 and the sales information storage unit 17 are configured by storage devices. 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 . Also, 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. If there are a plurality of posting site servers 20, evaluation information is obtained from each posting site server 20 for each store.

Here, in this 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 .

Also, the acquisition unit 11 receives access from the business operator terminal 30 , acquires sales information including the sales amount of each store input from the business operator terminal 30 , and stores the information in the sales information storage unit 17 . At this time, the acquisition unit 11 acquires the sales information of each store separately for each store, and stores the information in the sales information storage unit 17 . The sales information includes time information representing the period during which the sales amount was sold at each store. For example, the time information may be any period such as daily, monthly, quarterly, or yearly. In this embodiment, the acquisition unit 11 may acquire sales information of a plurality of stores forming a store group from one business operator terminal 30 or from a plurality of different business operator terminals 30 . However, the acquisition unit 11 may acquire the sales information of the store by any method.

The tallying unit 12 (summing means) tallies the evaluation information stored in the evaluation information storage unit 16 . For example, the tabulating unit 12 tabulates the evaluation values included in the evaluation information for each period and for each shop with respect to the evaluation information of a plurality of shops forming a predetermined shop group. Specifically, first, based on the time information in the evaluation information, the aggregation unit 12 first determines a preset period (first period) to be aggregated, for example, a target period that is the most recent year (here, As an example, the evaluation information for “from January 1, 2021 to December 31, 2021” is extracted. Then, the aggregation unit 12 calculates an average value of the evaluation values represented by numerical values for each store, targeting only the evaluation information of the target period, and calculates the average value as an evaluation total value. As a result, one evaluation total value is generated for each store in the target period. 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.

Also, the tabulation unit 12 tabulates the sales information stored in the sales information storage unit 17 . For example, the aggregation unit 12 aggregates the sales amount included in the sales information for each period and each store for the sales information of a plurality of stores that constitute a predetermined store group, and Aggregate changes in sales amounts. Specifically, first, based on the time information in the sales information, the tabulation unit 12 sets a preset period (first period) to be tabulated, for example, a target period that is the most recent one year (here, As an example, the sales information for "from January 1, 2021 to December 31, 2021" is extracted. Then, the tabulation unit 12 calculates the total sales amount for each store, targeting only the sales information for the target period, and calculates the total sales amount for the target period. Furthermore, based on the time information in the sales information, the aggregation unit 12 sets a preset period (second period) to be compared with the above-described target period (first period) to be aggregated, for example, A comparison period that is one year earlier than the target period, which is the most recent year, and is a one-year period corresponding to the target period (here, as an example, "from January 1, 2020 to 2020 (December 31, 2012)) is extracted. Then, the aggregation unit 12 calculates the total sales amount for each store, targeting only the sales information for the comparison period, and calculates the sales amount for the comparison period.

Furthermore, the counting unit 12 compares the sales amount in the target period with the sales amount in the comparison period. Here, the ratio of the sales amount in the target period to the sales amount in the comparison period, that is, the value obtained by dividing the sales amount in the target period by the sales amount in the comparison period is calculated, and the ratio value is calculated as the total sales value. For example, if the sales amount in the target period and the comparison period is the same, the total sales value is calculated as 1.00 times (100%), the sales amount in the target period is 1.4 million yen, and the sales amount in the target period is 1.4 million yen. If the sales amount is 1,000,000 yen, the total sales value is calculated as 1.40 times (140%). In this way, the tallying unit 12 calculates the ratio of sales to the previous year for each store in the set period, thereby generating one sales tally value for each store. In the above example, the year-to-year ratio of sales to the previous year is calculated. When the target period is set to a month, the ratio to the previous sales may be calculated on a monthly basis, or may be calculated in any period. Also, the value of the total sales value may be expressed in multiples or percentages as described above, or may be expressed in other units.

The output unit 13 (output means) outputs the tabulation result tabulated by the tabulation unit 12 as described above so as to be displayed on the operator terminal 30 . Specifically, as shown in FIG. 3, the output unit 13 outputs the total evaluation value and the The distribution of each store is displayed on the coordinate plane by plotting black circle marks at the coordinates corresponding to the total sales value. Note that the "average value" on the vertical axis in FIG. 3 indicates the average value of the evaluation values for all stores, and the higher the evaluation value, the higher the store is plotted. In addition, "1.0" on the horizontal axis in FIG. 3 is the value of "1.0" in the ratio of sales to the previous year, which is the total sales value, that is, the case where the sales amount is the same in the target period and the comparison period. Stores with increased sales during the target period relative to the comparison period are plotted on the right side.

The analysis unit 14 (analyzing means) classifies each store into a plurality of groups based on the distribution of each store plotted on the coordinate plane as described above, that is, the total evaluation value and total sales value of each store. As an example, the analysis unit 14, as shown in FIG. Each store is classified into two groups, such as Group B, which consists of stores whose total sales value is lower than the average value and whose total sales value is lower than 1.0. However, the analysis unit 14 may set groups according to any criteria to classify each store, and the number of groups to classify may be two or more. At this time, as shown in FIG. 5, the analysis unit 14 may generate an approximate straight line plotted for each store, and in addition to the aggregated evaluation value and aggregated sales value, based on the distance to the approximate straight line, group You may set and classify a store.

Here, looking at the approximate straight line shown in FIG. 5, the larger the aggregated evaluation value, the larger the aggregated sales value. For this reason, as shown by the arrow in FIG. 5, referring to the evaluation information of the stores belonging to Group A with high aggregate evaluation values and aggregate sales values, the operation, customer service, measures, know-how, etc. of the Group A stores are evaluated. By providing the information to the Group B stores, it is possible to increase the sales amount of the Group B stores. Alternatively, by referring to the evaluation information, it is possible to identify the differences between the stores belonging to Group A and the stores belonging to Group B, and improve the Group B stores based on the identified differences to increase sales. It is also possible to plan Based on this way of thinking, the analysis unit 14 has a function of extracting and analyzing information about stores belonging to each group as follows.

First, as an example, the analysis unit 14 compares different groups such as group A and group B, and compares the evaluation information of the stores belonging to each group. In this case, the analysis unit 14 first selects group A and group B classified as described above, and extracts evaluation information for shops belonging to each group. Then, the analysis unit 14 extracts text information and an evaluation value included in each piece of evaluation information, and extracts a preset keyword from the text information. In this embodiment, since the store is a "pharmacy", the keywords are, for example, "prescription", "dispensing", and "pharmacist". Then, the analysis unit 14 analyzes the evaluation value of the evaluation information including the keyword for each group and each keyword. For example, a threshold value for the evaluation value is set in advance, and it is determined that the evaluation value is high when the evaluation value is equal to or higher than the threshold value, and the evaluation value is low when the evaluation value is less than the threshold value.

Here, FIG. 5 shows an example of comparing evaluation information between groups. In this figure, 1271 items of evaluation information are extracted for stores belonging to group A, and 1146 items of evaluation information are extracted for stores belonging to group B. FIG. Then, distinguishing between Group A and Group B, the evaluation information containing the keywords "prescription", "dispensing", and "pharmacist" is extracted from the text information of each evaluation information, and the evaluation value of the evaluation information is obtained for each keyword. Determine whether it is higher or lower than the threshold, and calculate the ratio. In the example of FIG. 5, regarding the keyword "prescription", the evaluation information for the stores belonging to Group A has a high evaluation value of 83% and the low evaluation value of 17%. The evaluation value is 79%, and the low evaluation value is 21%. Comparing the evaluations of Group A and Group B for the keyword "prescription" reveals that the proportions of high evaluation values and low evaluation values are about the same. On the other hand, regarding the keyword “pharmacist”, the evaluation information for the stores belonging to Group A has a high evaluation value of 75% and the low evaluation value of 25%, and the evaluation information for the stores belonging to Group B has a high evaluation value. 29% and a low rating of 71%. Comparing the evaluations of Group A and Group B with respect to the keyword "pharmacist" reveals that the proportions of high evaluation values and low evaluation values are opposite to each other. In other words, it can be seen that the evaluation values including the keyword "pharmacist" tend to be high for Group A stores, but the evaluation values including the keyword "pharmacist" tend to be low for Group B stores. Therefore, the analysis unit 14 extracts the evaluation information including the keyword “pharmacist” and outputs it to the business operator terminal 30 . As a result, the business side compares the evaluation information containing the keyword "pharmacist" for stores belonging to Group A with the evaluation information containing the keyword "pharmacist" for stores belonging to Group B, and analyzes the differences. This can be used to improve the management of the stores belonging to Group B.

In the example of FIG. 5 described above, the analysis unit 14 compares the evaluation values of evaluation information in which the same keyword is included in text information between groups. You may compare the evaluation value of the evaluation information containing a keyword between 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 groups.

Note that the analysis unit 14 may extract evaluation information for each of three or more groups and compare the evaluation information between the three or more groups. In addition, the analysis unit 14 extracts the evaluation information of stores belonging to a predetermined group such as the group with the highest evaluation or the group with the lowest evaluation among the classified groups, and outputs the evaluation information to be presented to the business operator. may Further, the analysis unit 14 may extract information other than the evaluation information regarding the stores belonging to a predetermined group among the classified groups. For example, the analysis unit 14 extracts pre-registered operation information associated with the store belonging to the group with the highest evaluation, such as customer service methods, purchase methods, price setting methods, know-how, and the like, You may present it to the business operator.

[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 group and each store.

After that, the management server 10 aggregates the evaluation information according to the instruction from the business operator terminal 30 (step S2). First, the management server 10 aggregates evaluation values for the target period for each store, and calculates, for example, an average value as an evaluation aggregate value. In addition, the management server 10 calculates the sales amounts for the target period and the comparison period for each store, and calculates the total sales value, which is the ratio of the sales amount for the target period to the comparison period.

Then, the management server 10, according to the instruction from the business operator terminal 30, outputs the result of tallying the evaluation information so as to be displayed on the business operator terminal 30 (step S3). For example, as shown in FIG. 3, the management server 10 displays the distribution of each store on the coordinate plane with the aggregated evaluation value and the aggregated sales value as the coordinate axes on the business operator terminal 30 .

After that, the management server 10, in response to an instruction from the operator terminal 30, based on the distribution of each store aggregated and plotted on the coordinate plane as described above, that is, based on the aggregated evaluation value and aggregated sales value of each store to classify the shops into a plurality of groups (step S4). For example, as shown in FIG. 4, each store is classified into a group A with high evaluation and sales and a group B with low evaluation and sales. Furthermore, the management server 10 distinguishes between groups and extracts information associated with stores belonging to the groups (step S5). For example, it extracts management information pre-associated with the store, or extracts evaluation information for the store. Then, the management server 10 presents the information extracted for each group to the business side, compares and analyzes the information extracted between the groups, and provides the analysis result to the business side.

As described above, in the present invention, evaluation values and sales amounts are totaled from evaluation information and sales information for a plurality of stores (objects), and the total results are output. As a result, the business operator can obtain the distribution of the correlation between the evaluations of the multiple stores and the sales, which can be used as a reference for improving sales in the future. As a result, the evaluation information can be used more effectively.

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, analysis unit 14, evaluation information storage unit 16, and sales information storage unit 17 described above may be installed anywhere on the network. It may be executed in an information processing device connected to the network, that is, it may be executed 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)
Acquisition means for acquiring evaluation information including an evaluation value representing the degree of evaluation of a predetermined target by a user who has used the target, and sales information including the sales amount of the target;
Aggregation means for aggregating the evaluation value and the sales amount for each target based on the acquired evaluation information and sales information;
output means for outputting the aggregated results of the evaluation information and the sales information for the plurality of targets;
Information processing system with
(Appendix 2)
The information processing system according to Appendix 1,
The aggregation means calculates one aggregate evaluation value for each object based on the evaluation values included in the plurality of evaluation information, and calculates one sales based on the sales amounts included in the plurality of sales information. calculate the aggregate value,
The output means outputs to display the aggregated evaluation value and the aggregated sales value for each of the targets.
Information processing system.
(Appendix 3)
The information processing system according to appendix 2,
The totalizing means calculates the total evaluation value based on the evaluation value included in the evaluation information in a first period, which is a period set in advance, for each target, and calculates the total evaluation value based on the sales information in the first period. calculating the total sales value based on the included sales amount and the sales amount included in the sales information in a second period that is a period different from the first period;
Information processing system.
(Appendix 4)
The information processing system according to Appendix 3,
The tabulation means calculates, for each object, the sales amount in the first period in the second period corresponding to the first period according to a reference set in advance that is a past period with respect to the first period Calculate the percentage of the sales amount as the sales aggregate value,
Information processing system.
(Appendix 5)
The information processing system according to appendix 2,
The output means outputs to display the distribution of the plurality of targets in a coordinate space having the aggregated evaluation value and the aggregated sales value as coordinate axes.
Information processing system.
(Appendix 6)
The information processing system according to appendix 5,
Analysis means for classifying the target into a plurality of groups based on the distribution and extracting predetermined information about the target belonging to the predetermined group,
Information processing system.
(Appendix 7)
The information processing system according to appendix 6,
The analysis means selects at least two groups from the classified groups, extracts the evaluation information for the object belonging to the selected groups, and compares the extracted evaluation information between the different groups.
Information processing system.
(Appendix 8)
The information processing system according to appendix 7,
The acquisition means acquires the evaluation information including text information representing the content of the user's evaluation of the target,
The analysis means extracts the text information and the evaluation value included in the evaluation information for the object belonging to the selected group, and includes the text information that satisfies a preset criterion among the different groups. comparing the evaluation values of the evaluation information;
Information processing system.
(Appendix 9)
Acquiring evaluation information including an evaluation value representing the degree of evaluation of a predetermined target by a user who has used the target, and sales information including the sales amount of the target,
Aggregating the evaluation value and the sales amount for each target based on the acquired evaluation information and sales information,
outputting aggregated results of the evaluation information and the sales information for a plurality of the targets;
Information processing methods.
(Appendix 9.1)
The information processing method according to Appendix 9,
For each of the targets, one aggregate evaluation value is calculated based on the evaluation values included in the multiple pieces of the evaluation information, and one aggregate sales value is calculated based on the sales amounts included in the multiple pieces of the sales information. ,
outputting to display the aggregated evaluation value and the aggregated sales value for each of the targets;
Information processing methods.
(Appendix 9.2)
The information processing method according to Appendix 9.1,
outputting to display the distribution of the plurality of targets in a coordinate space having the aggregate evaluation value and the aggregate sales value as coordinate axes;
Information processing methods.
(Appendix 9.3)
The information processing method according to Appendix 9.2,
classifying the objects into a plurality of groups based on the distribution, and extracting predetermined information about the objects belonging to the predetermined groups;
Information processing methods.
(Appendix 10)
Acquiring evaluation information including an evaluation value representing the degree of evaluation of a predetermined target by a user who has used the target, and sales information including the sales amount of the target,
Aggregating the evaluation value and the sales amount for each target based on the acquired evaluation information and sales information,
outputting aggregated results of the evaluation information and the sales information for a plurality of the targets;
A program that causes a computer to execute a process.

10 Management server 11 Acquisition unit 12 Aggregation unit 13 Output unit 14 Analysis unit 16 Evaluation information storage unit 17 Sales information storage unit 20 Posting site server 30 Business operator terminal

Claims (8)

Acquisition means for acquiring evaluation information including an evaluation value representing the degree of evaluation of a predetermined store by a user who used the store , and sales information including the sales amount of the store ;
Aggregation means for aggregating the evaluation value and the sales amount for each store based on the acquired evaluation information and sales information;
an output means for outputting a total result of the evaluation information and the sales information for the plurality of stores ;
with
The aggregation means calculates one aggregated evaluation value for each store based on the evaluation values included in the plurality of evaluation information, and calculates one sales based on the sales amounts included in the plurality of sales information. calculate the aggregate value,
When outputting to display the aggregated evaluation value and the aggregated sales value for each of the stores, the output means outputs a plurality of the output to show the distribution of stores,
Information processing system. The information processing system according to claim 1 ,
The totalizing means calculates the total evaluation value based on the evaluation value included in the evaluation information in a first period, which is a preset period, for each store , and calculates the total evaluation value based on the sales information in the first period. calculating the total sales value based on the included sales amount and the sales amount included in the sales information in a second period that is a period different from the first period;
Information processing system. The information processing system according to claim 2 ,
The counting means calculates, for each store , the amount of sales in the first period in the second period corresponding to the first period according to a reference set in advance that is a past period with respect to the first period Calculate the percentage of the sales amount as the sales aggregate value,
Information processing system. The information processing system according to claim 1 ,
Analysis means for classifying the stores into a plurality of groups based on the distribution and extracting predetermined information about the stores belonging to the predetermined groups,
Information processing system. The information processing system according to claim 4 ,
The analysis means selects at least two groups from the classified groups, extracts the evaluation information for the stores belonging to the selected groups, and compares the evaluation information extracted between the different groups.
Information processing system. The information processing system according to claim 5 ,
The acquisition means acquires the evaluation information including text information representing the contents of the user's evaluation of the store ,
The analysis means extracts the text information and the evaluation value included in the evaluation information for the store belonging to the selected group, and includes the text information satisfying a preset criterion among the different groups. comparing the evaluation values of the evaluation information;
Information processing system. The information processing device
Acquiring evaluation information including an evaluation value representing the degree of evaluation of the store by a user who used the predetermined store , and sales information including the sales amount of the store ;
When the evaluation value and the sales amount are totaled for each of the stores based on the acquired evaluation information and the sales information , one total evaluation value is obtained based on the evaluation values included in the plurality of the evaluation information. Calculate one aggregate sales value based on the sales amount included in the plurality of sales information,
When outputting to display the aggregated evaluation value and the aggregated sales value for each of the stores as the aggregation result of the evaluation information and the aggregated sales information for the plurality of stores , the aggregated evaluation value and the aggregated sales value are displayed output to display the distribution of the plurality of stores in a coordinate space with each coordinate axis ;
Information processing methods. Acquiring evaluation information including an evaluation value representing the degree of evaluation of the store by a user who used the predetermined store , and sales information including the sales amount of the store ;
When the evaluation value and the sales amount are totaled for each of the stores based on the acquired evaluation information and the sales information , one total evaluation value is obtained based on the evaluation values included in the plurality of the evaluation information. Calculate one aggregate sales value based on the sales amount included in the plurality of sales information,
When outputting to display the aggregated evaluation value and the aggregated sales value for each of the stores as the aggregation result of the evaluation information and the aggregated sales information for the plurality of stores , the aggregated evaluation value and the aggregated sales value are displayed output to display the distribution of the plurality of stores in a coordinate space with each coordinate axis ;
A program that causes a computer to execute a process.

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