JP2023173596A - information processing system - Google Patents

Abstract

To further effectively use evaluation information of goods/service.SOLUTION: An information processing system 10 comprises acquisition means 11 for acquiring evaluation information including an evaluation value representing a degree of evaluation of a prescribed object by a user using the object and sales information including a sales amount of an object, aggregation means 12 for aggregating an evaluation value and the sales amount for every object based on the acquired evaluation information and sales information, and output means 13 for outputting an aggregation result of evaluation information and sales information for a plurality of objects.SELECTED DRAWING: Figure 2

Description

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

Websites on the Internet post information introducing products and services provided by businesses, as well as evaluation information including opinions and evaluation values posted by users who have used the products and services. . For example, evaluation information is published on websites such as search sites, reservation sites, word-of-mouth sites, survey sites, weblogs, and SNS (Social Networking Services).

While such evaluation information can be used as reference by general users considering the use of products and services, it is also extremely important for businesses providing products and services for future product development and service improvement. This information will be useful. For this reason, business operators collect and analyze user evaluation information. For example, Patent Document 1 describes that an evaluation score is calculated based on the number or ratio of positive evaluation information and negative evaluation information, and that the evaluation score is expressed in a time-series line graph.

Japanese Patent Application Publication No. 2022-12615

However, the method of Patent Document 1 mentioned above targets evaluation information of one store, and it is difficult to analyze evaluation information of a plurality of stores at once. Furthermore, it is difficult to collectively analyze not only store evaluation information but evaluation information of all products and services. As a result, a problem arises in that it is not possible to make more effective use of evaluation information by users.

Therefore, an object of the present invention is to solve the above-mentioned problem of not being able to utilize evaluation information of products and services more effectively.

An information processing system that is one form of the present invention includes:
Acquisition means for acquiring evaluation information including an evaluation value representing the degree of evaluation of a predetermined object by a user who has used the object, and sales information including a sales amount of the object;
aggregating means for aggregating the evaluation value and the sales amount for each target based on the acquired evaluation information and the sales information;
Output means for outputting aggregation results of the evaluation information and the sales information for a plurality of the targets;
Equipped with
The structure is as follows.

Further, an information processing method that is one form of the present invention includes:
Obtaining evaluation information including an evaluation value representing the degree of evaluation of a given object by a user who has used the object, and sales information including the sales amount of the object;
based on the acquired evaluation information and sales information, totaling the evaluation value and the sales amount for each target;
outputting aggregation results of the evaluation information and the sales information for a plurality of the targets;
The structure is as follows.

Further, a program that is one form of the present invention is
Obtaining evaluation information including an evaluation value representing the degree of evaluation of a given object by a user who has used the object, and sales information including the sales amount of the object;
based on the acquired evaluation information and sales information, totaling the evaluation value and the sales amount for each target;
outputting aggregation results of the evaluation information and the sales information for a plurality of the targets;
have a computer perform a process,
The structure is as follows.

By being configured as described above, the present invention can make more effective use of product/service evaluation information.

1 is a diagram showing the overall configuration of an information processing system in Embodiment 1 of the present invention. FIG. 2 is a functional block diagram showing the configuration of the management server disclosed in FIG. 1. FIG. FIG. 2 is a diagram showing a state of processing by the management server disclosed in FIG. 1. FIG. FIG. 2 is a diagram showing a state of processing by the management server disclosed in FIG. 1. FIG. FIG. 2 is a diagram showing a state of processing by the management server disclosed in FIG. 1. FIG. FIG. 2 is a diagram showing a state of processing by the management server disclosed in FIG. 1. FIG. 2 is a flowchart showing the operation of the management server disclosed in FIG. 1. FIG.

<Embodiment 1>
A first embodiment of the present invention will be described with reference to FIGS. 1 to 7. 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.

[composition]
The information processing system according to the present invention is intended to aggregate and utilize evaluation information posted on websites such as so-called word-of-mouth posting sites and search sites. As shown in FIG. 1, the information processing system includes a management server 10, a posting site server 20, and a business terminal 30, which are connected via a network N. Each configuration will be explained in detail below.

The posting site server 20 is an information processing device managed by a business that provides a service for publishing evaluation information, and has established a website called a posting site on the Internet. In this embodiment, the posting site provided by the posting site server 20 posts information on stores such as pharmacies, restaurants, hair salons, and accommodation facilities, as well as evaluation information posted by users who have used the stores. is published. For example, the evaluation information posted and published by users includes textual information that expresses the contents of the evaluation of the store, such as impressions of the services and offerings that the user received at the store (target), as well as the level of evaluation of the store. It shall include the numerical evaluation value expressed. As an example, the text information may include keywords related to services and offerings provided by the store; for example, if the store is a "pharmacy", "prescription", "dispensing", "pharmacist", etc. There is. Further, as an example, the evaluation value is set to a value of "0 to 5", and the larger the value, the higher the degree of evaluation. However, the evaluation value may be expressed by any range of values, and may be expressed by any information other than numerical values.

Furthermore, 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 when 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 regarding stores such as pharmacies, restaurants, beauty salons, and accommodation facilities, but may be information regarding stores of any industry. Often, it may be evaluation information for a product or service (object). Furthermore, the evaluation information is not limited to information regarding stores or products, and may be information regarding any object.

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

Further, the posting site server 20 is not necessarily limited to publishing evaluation information on a website or the like. For example, the posting site server 20 may establish a survey site or a payment site and only acquire evaluation information from users.

The business terminal 30 is an information processing terminal operated by a person who analyzes store evaluation information in a business that operates a store. Then, the business terminal 30 accesses the management server 10 and displays and analyzes the aggregated results of store evaluation information by the management server 10, or acquires information analyzed by the management server 10, as described later. .

Here, in this embodiment, it is assumed that a business operator that operates a store operates a plurality of stores. For example, suppose that a business operator operates 50 stores, and analyzes the results of aggregation of evaluation information of these stores. However, a business operator that operates a store may only operate one store, and must analyze the aggregated results of evaluation information of multiple stores, including its own store and the stores of other business operators. It's okay.

The management server 10 is composed of one or more information processing devices including a computing device and a storage device. As shown in FIG. 2, the management server 10 includes an acquisition section 11, an aggregation section 12, an output section 13, and an analysis section 14. The functions of the acquisition section 11, the aggregation section 12, the output section 13, and the analysis section 14 can be realized by the arithmetic device executing a program stored in the storage device for realizing each function. The management server 10 also includes an evaluation information storage section 16 and a sales information storage section 17. The evaluation information storage unit 16 and the sales information storage unit 17 are configured by storage devices. Each configuration will be explained in detail below.

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

Here, in this embodiment, a plurality of stores are operated by the same business operator, but in this case, the acquisition unit 11 stores in advance a store group in which the plurality of stores are associated. Therefore, the acquisition unit 11 acquires evaluation information corresponding to each of a plurality of stores forming a store group from the posting site server 20, and stores the acquired evaluation information collectively in the store group of the plurality of stores. 16.

The acquisition unit 11 also receives access from the business terminal 30, acquires sales information including the sales amount of each store input from the business terminal 30, and stores it in the sales information storage unit 17. At this time, the acquisition unit 11 distinguishes each store, acquires sales information for the store, and stores it in the sales information storage unit 17. The sales information includes time information representing the period in which sales amounted to the sales amount 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 terminal 30 or from a plurality of different business terminals 30. However, the acquisition unit 11 may acquire store sales information using any method.

The aggregation unit 12 (aggregation means) aggregates the evaluation information stored in the evaluation information storage unit 16. For example, the aggregation unit 12 aggregates the evaluation values included in the evaluation information for each period and for each store with respect to the evaluation information of a plurality of stores forming a predetermined store group. Specifically, the aggregation unit 12 first selects a preset period (first period) to be aggregated based on the time information in the evaluation information, for example, a target period that is the most recent year (here, As an example, evaluation information from "January 1, 2021 to December 31, 2021" is extracted. Then, the aggregation unit 12 calculates the average value of the numerically expressed evaluation values for each store only for the evaluation information of the target period, and calculates the average value as the evaluation aggregate value. As a result, one evaluation aggregate value will be generated for each store during the target period. However, the aggregate evaluation value is not limited to the average value of evaluation values for each store, but may also include the most frequently occurring evaluation value for each store, the average value of evaluation values randomly extracted from the evaluation values for each store, etc. , it may be a value aggregated by any method.

Further, the aggregation unit 12 aggregates 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 amount. Specifically, the aggregation unit 12 first selects a preset period (first period) to be aggregated based on time information in the sales information, for example, a target period that is the most recent year (here, As an example, sales information from "January 1, 2021 to December 31, 2021" is extracted. Then, the aggregation unit 12 calculates the total sales amount for each store, targeting only the sales information for the target period, and calculates the total value as the sales amount for the target period. Furthermore, based on the time information in the sales information, the aggregation unit 12 selects a preset period (second period) to be compared with the above-mentioned aggregation target period (first period), for example, A comparison period that is one year earlier than the most recent one-year target period, and whose month and day correspond to the target period (here, as an example, "January 1, 2020 to 2020") Extract the sales information for December 31st, 2017. 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 total value as the sales amount for the comparison period.

Furthermore, the aggregation unit 12 compares the sales amount for the target period and the sales amount for 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 value of this ratio is calculated as the total sales value. For example, if the sales amount for the target period and the comparison period are the same, the total sales value will be calculated as 1.00 times (100%), and the sales amount for the target period is 1.4 million yen, and the sales amount for the target period is 1.4 million yen. If the sales amount is 1 million yen, the total sales value is calculated as 1.40 times (140%). In this way, the aggregation unit 12 calculates the sales ratio from the previous year for each store during the set period, thereby generating one sales total value for each store. In addition, in the above example, the sales ratio compared to the previous year is calculated on a yearly basis, but if the target period is set to quarterly, the sales ratio compared to the previous year may be calculated on a quarterly basis. If the target period is set to a month, the sales ratio may be calculated on a monthly basis, or may be calculated using any period. Further, the value of the sales total 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 total results compiled by the total unit 12 as described above so as to be displayed on the business terminal 30. Specifically, as shown in FIG. 3, the output unit 13 outputs the aggregate evaluation value and the aggregate evaluation value of each store on a coordinate space (coordinate plane) in which the vertical axis is the aggregate evaluation value and the horizontal axis is the aggregate sales value. By plotting black circles at the coordinates corresponding to the total sales value, the distribution of each store is displayed on the coordinate plane. Note that the "average value" on the vertical axis in FIG. 3 indicates the average value of evaluation values for all stores, and stores with higher evaluation values are positioned higher and plotted. In addition, "1.0" on the horizontal axis in Figure 3 indicates a value where the ratio of last year's sales, which is the sales aggregate value, is "1.0", that is, when the sales amount is the same in the target period and the comparison period. Stores whose sales amount increased in the target period compared to the comparison period are plotted on the right side.

The analysis unit 14 (analysis 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, as shown in FIG. 4, based on the aggregated evaluation value and the aggregated sales value, the analysis unit 14 selects group A whose aggregated evaluation value is higher than the average value and whose aggregated sales value is higher than 1.0; Each store is classified into two groups: group B consisting of stores whose aggregate value is lower than the average value and group B which consists of stores whose aggregate sales value is lower than 1.0. However, the analysis unit 14 may classify each store by setting groups based on any criteria, and the number of groups to be classified may be two or more. At this time, the analysis unit 14 may generate an approximate straight line of the plot of each store, as shown in FIG. You may also set this to classify stores.

Here, looking at the approximate straight line shown in FIG. 5, as the value of the evaluation total value increases, the value of the sales total value increases. Therefore, as shown by the arrow in Figure 5, by referring to the evaluation information of stores belonging to group A with high aggregated evaluation values and aggregated sales values, we can improve the management, customer service, measures, know-how, etc. of stores in group A. It is thought that by providing information to stores in group B, it is possible to increase the sales amount of stores belonging to group B. Alternatively, by referring to the evaluation information, it may be possible to identify differences between stores belonging to Group A and stores belonging to Group B, and use the identified differences to improve Group B stores and increase sales. It is also thought that it is possible to achieve this. Based on this idea, the analysis unit 14 has a function of extracting and analyzing information regarding stores belonging to each group, as described below.

First, as an example, the analysis unit 14 compares evaluation information for stores belonging to different groups such as group A and group B. In this case, the analysis unit 14 first selects Group A and Group B classified as described above, and extracts evaluation information for stores belonging to each group. Then, the analysis unit 14 extracts text information and evaluation values included in each piece of evaluation information, and extracts preset keywords 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 for each keyword. For example, a threshold value for the evaluation value is set in advance, and a value greater than or equal to the threshold value is determined to be high evaluation, and a value less than the threshold value is determined to be evaluated low, and the ratio of high evaluation value to low evaluation value for each keyword is calculated.

Here, FIG. 5 shows an example in which evaluation information is compared between groups. In this figure, first, 1271 pieces of evaluation information for stores belonging to group A are extracted, and 1146 pieces of evaluation information for stores belonging to group B are extracted. Then, distinguish between Group A and Group B, and extract evaluation information that includes the keywords "prescription," "dispensing," and "pharmacist" from the text information of each evaluation information, and calculate the evaluation value of the evaluation information for each keyword. Determine whether it is higher or lower than the threshold and calculate the ratio. In the example of FIG. 5, for the keyword "prescription", in the evaluation information for stores belonging to group A, the high evaluation value is 83% and the low evaluation value is 17%, and in the evaluation information for stores belonging to group B, the high evaluation value is 83%. The evaluation value is 79%, and the low evaluation value is 21%. Comparing the evaluations of Group A and Group B with respect to the keyword "prescription", it can be seen that the proportions of high evaluation values and low evaluation values are approximately the same. On the other hand, regarding the keyword "pharmacist", in the evaluation information for stores belonging to group A, 75% have high evaluation values and 25% have low evaluation values, and in the evaluation information for stores belonging to group B, high evaluation values have 75%. 29%, and the lowest evaluation value is 71%. Comparing the evaluations of Group A and Group B for the keyword "pharmacist" reveals that the ratios of high and low evaluation values are exactly opposite. In other words, it can be seen that the evaluation values for stores in group A that include the keyword "pharmacist" tend to be high, while the evaluation values for stores in group B that include the keyword "pharmacist" tend to be low. Therefore, the analysis unit 14 extracts evaluation information including the keyword "pharmacist" and outputs it to the business terminal 30. As a result, the business operator 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 stores belonging to Group B.

In the example of FIG. 5 described above, the analysis unit 14 compares the evaluation values of evaluation information whose text information includes the same keyword between groups, but the keywords are not exactly the same and have the same meaning. The evaluation values of evaluation information including keywords may be compared between groups. In addition, the evaluation value of the evaluation information including the text information is not limited to the criterion 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. Furthermore, the analysis unit 14 extracts evaluation information of stores belonging to a predetermined group, such as the group with the highest evaluation or the group with the lowest evaluation, from the classified groups, and outputs the evaluation information to be presented to the business operator. It's okay. Furthermore, the analysis unit 14 may extract information other than evaluation information regarding stores belonging to a predetermined group from among the classified groups. For example, the analysis unit 14 extracts operational information registered in advance associated with the store belonging to the group with the highest evaluation, such as customer service methods, purchasing methods, pricing methods, know-how, etc. It may be presented to the business operator.

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

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

The management server 10 periodically or at any timing acquires evaluation information published on each posting site from the posting site server 20 (step S1). The management server 10 then stores the evaluation information acquired from the posting site server 20 for each store group and for each store.

Thereafter, the management server 10 aggregates the evaluation information in response to instructions from the business terminal 30 (step S2). First, the management server 10 aggregates the evaluation values for the target period for each store, and calculates, for example, the average value as the evaluation aggregate value. In addition, the management server 10 calculates the sales amount between the target period and the comparison period for each store, and calculates a total sales value that is the ratio of the sales amount of the target period to the comparison period.

Then, the management server 10 outputs the aggregated results of the evaluation information to be displayed on the business terminal 30 in response to instructions from the business terminal 30 (step S3). For example, the management server 10 displays, on the business terminal 30, the distribution of each store on a coordinate plane having the total evaluation value and the total sales value as coordinate axes, as shown in FIG.

Thereafter, in response to an instruction from the business terminal 30, the management server 10 calculates the distribution of each store that has been 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. Then, the stores are classified into a plurality of groups (step S4). For example, as shown in FIG. 4, each store is classified into group A with high evaluation and sales and group B with low evaluation and sales. Furthermore, the management server 10 distinguishes each group and extracts information associated with stores belonging to the group (step S5). For example, operation information associated with the store in advance is extracted, or evaluation information for the store is extracted. The management server 10 then presents the information extracted for each group to the business operator, further compares and analyzes the information extracted between groups, and provides the analysis results to the business operator.

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

Although the present invention has been described above with reference to the above-described embodiments, the present invention is not limited to the above-described embodiments. The configuration and details of the present invention can be modified in various ways within the scope of the present invention by those skilled in the art. Furthermore, at least one of the functions of the acquisition unit 11, aggregation unit 12, output unit 13, analysis unit 14, evaluation information storage unit 16, and sales information storage unit 17 described above can be installed at any location on the network. It may be executed by an information processing device connected to the computer, that is, it may be executed by so-called cloud computing.

Note that the programs described above can be stored and provided to a computer using various types of non-transitory computer readable media. Non-transitory computer-readable media includes various types of tangible storage media. Examples of non-transitory computer-readable media include magnetic recording media (e.g., flexible disks, magnetic tapes, hard disk drives), magneto-optical recording media (e.g., magneto-optical disks), CD-ROMs (Read Only Memory), CD-Rs, CD-R/W, semiconductor memory (for example, mask ROM, PROM (Programmable ROM), EPROM (Erasable PROM), flash ROM, RAM (Random Access Memory)). The program may also be provided to the computer on various types of transitory computer readable media. Examples of transitory computer-readable media include electrical signals, optical signals, and electromagnetic waves. The temporary computer-readable medium can provide the program to the computer via wired communication channels, such as electrical wires and fiber optics, or wireless communication channels.

<Additional notes>
Part or all of the above embodiments may also be described as in the following additional notes. Hereinafter, the outline of the configuration of the information processing system, information processing method, and program according to the present invention will be explained. However, the present invention is not limited to the following configuration.
(Additional note 1)
Acquisition means for acquiring evaluation information including an evaluation value representing the degree of evaluation of a predetermined object by a user who has used the object, and sales information including a sales amount of the object;
aggregating means for aggregating the evaluation value and the sales amount for each target based on the acquired evaluation information and the sales information;
Output means for outputting aggregation results of the evaluation information and the sales information for a plurality of the targets;
An information processing system equipped with
(Additional note 2)
The information processing system described in Appendix 1,
The aggregation means calculates one evaluation aggregate value for each target based on the evaluation values included in the plurality of evaluation information, and calculates one sales value based on the sales amount included in the plurality of sales information. Calculate the aggregate value,
The output means outputs the evaluation aggregate value and the sales aggregate value for each target to be displayed.
Information processing system.
(Additional note 3)
The information processing system described in Appendix 2,
The aggregation means calculates the evaluation aggregate value for each target based on the evaluation value included in the evaluation information in a first period that is a preset period, and calculates the evaluation aggregate value based on the evaluation value included in the evaluation information in a first period that is a preset period, calculating the total sales value based on the sales amount included in the 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.
(Additional note 4)
The information processing system described in Appendix 3,
The aggregation means calculates, for each target, the sales amount in the first period in the second period, which is a past period with respect to the first period and corresponds to the first period according to a preset standard. calculating a percentage of the sales amount as the sales total value;
Information processing system.
(Appendix 5)
The information processing system described in Appendix 2,
The output means outputs the distribution of the plurality of objects to be displayed in a coordinate space having the evaluation aggregate value and the sales aggregate value as coordinate axes, respectively;
Information processing system.
(Appendix 6)
The information processing system according to appendix 5,
comprising analysis means for classifying the object into a plurality of groups based on the distribution and extracting predetermined information regarding the object belonging to a predetermined group;
Information processing system.
(Appendix 7)
The information processing system described in 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 evaluation information extracted between the different groups.
Information processing system.
(Appendix 8)
The information processing system described in Appendix 7,
The acquisition means acquires the evaluation information including text information representing the content of the evaluation of the object by the user,
The analysis means extracts the text information and the evaluation value included in the evaluation information for the target belonging to the selected group, and includes the text information that satisfies preset criteria between different groups. comparing the evaluation values of the evaluation information;
Information processing system.
(Appendix 9)
Obtaining evaluation information including an evaluation value representing the degree of evaluation of a given object by a user who has used the object, and sales information including the sales amount of the object;
based on the acquired evaluation information and sales information, totaling the evaluation value and the sales amount for each target;
outputting aggregation results of the evaluation information and the sales information for a plurality of the targets;
Information processing method.
(Appendix 9.1)
The information processing method according to appendix 9,
For each target, one evaluation aggregate value is calculated based on the evaluation values included in the plurality of evaluation information, and one sales aggregate value is calculated based on the sales amount included in the plurality of sales information. ,
outputting the evaluation aggregate value and the sales aggregate value for each target to be displayed;
Information processing method.
(Appendix 9.2)
The information processing method described in Appendix 9.1,
Outputting the distribution of the plurality of objects to be displayed in a coordinate space having the evaluation aggregate value and the sales aggregate value as coordinate axes, respectively;
Information processing method.
(Appendix 9.3)
The information processing method described in Appendix 9.2,
classifying the object into a plurality of groups based on the distribution and extracting predetermined information regarding the object belonging to a predetermined group;
Information processing method.
(Appendix 10)
Obtaining evaluation information including an evaluation value representing the degree of evaluation of a given object by a user who has used the object, and sales information including the sales amount of the object;
based on the acquired evaluation information and sales information, totaling the evaluation value and the sales amount for each target;
outputting aggregation results of the evaluation information and the sales information for a plurality of the targets;
A program that causes a computer to perform 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 terminal

Claims (10)

Acquisition means for acquiring evaluation information including an evaluation value representing the degree of evaluation of a predetermined object by a user who has used the object, and sales information including a sales amount of the object;
aggregating means for aggregating the evaluation value and the sales amount for each target based on the acquired evaluation information and the sales information;
Output means for outputting aggregation results of the evaluation information and the sales information for a plurality of the targets;
An information processing system equipped with The information processing system according to claim 1,
The aggregation means calculates one evaluation aggregate value for each target based on the evaluation values included in the plurality of evaluation information, and calculates one sales value based on the sales amount included in the plurality of sales information. Calculate the aggregate value,
The output means outputs the evaluation aggregate value and the sales aggregate value for each target to be displayed.
Information processing system. The information processing system according to claim 2,
The aggregation means calculates the evaluation aggregate value for each target based on the evaluation value included in the evaluation information in a first period that is a preset period, and calculates the evaluation aggregate value based on the evaluation value included in the evaluation information in a first period that is a preset period, calculating the total sales value based on the sales amount included in the 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 3,
The aggregation means calculates, for each target, the sales amount in the first period in the second period, which is a past period with respect to the first period and corresponds to the first period according to a preset standard. calculating a percentage of the sales amount as the sales total value;
Information processing system. The information processing system according to claim 2,
The output means outputs the distribution of the plurality of objects to be displayed in a coordinate space having the evaluation aggregate value and the sales aggregate value as coordinate axes, respectively;
Information processing system. The information processing system according to claim 5,
comprising analysis means for classifying the object into a plurality of groups based on the distribution and extracting predetermined information regarding the object belonging to a predetermined group;
Information processing system. The information processing system according to claim 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 evaluation information extracted between the different groups.
Information processing system. The information processing system according to claim 7,
The acquisition means acquires the evaluation information including text information representing the content of the evaluation of the object by the user,
The analysis means extracts the text information and the evaluation value included in the evaluation information for the target belonging to the selected group, and includes the text information that satisfies a preset criterion between different groups. comparing the evaluation values of the evaluation information;
Information processing system. Obtaining evaluation information including an evaluation value representing the degree of evaluation of a given object by a user who has used the object, and sales information including the sales amount of the object;
based on the acquired evaluation information and sales information, totaling the evaluation value and the sales amount for each target;
outputting aggregation results of the evaluation information and the sales information for a plurality of the targets;
Information processing method. Obtaining evaluation information including an evaluation value representing the degree of evaluation of a given object by a user who has used the object, and sales information including the sales amount of the object;
based on the acquired evaluation information and sales information, totaling the evaluation value and the sales amount for each target;
outputting aggregation results of the evaluation information and the sales information for a plurality of the targets;
A program that causes a computer to perform a process.