JP2023043773A - Information processing device, information processing method, and information processing program - Google Patents

Abstract

To provide an information processing device, information processing method, and information processing program, which enable homogenization of evaluations made by users.SOLUTION: An information processing device disclosed herein comprises an extraction unit and a correction unit. The extraction unit extracts evaluation features regarding how users who evaluated purchased products made evaluations. The correction unit corrects evaluations according to the extracted evaluation features.SELECTED DRAWING: Figure 4

Description

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

2. Description of the Related Art Conventionally, in electronic commerce services, there is a technique for posting reviews of products purchased by users and evaluations such as evaluation points. Evaluations of products posted by users are made public to other users and help other users to decide whether or not to purchase the products.

JP 2014-182469 A

However, since the way users give evaluations differs from user to user, there is a possibility that even products with the same evaluation may have substantially different evaluations, making it difficult to compare products by evaluation.

The present application has been made in view of the above, and an object thereof is to provide an information processing apparatus, an information processing method, and an information processing program capable of uniforming evaluations made by users.

An information processing apparatus according to the present application includes an extraction unit and a correction unit. The extracting unit extracts evaluation features relating to how a user who has evaluated a purchased product gives an evaluation. The correction unit corrects the evaluation based on the extracted evaluation features.

According to one aspect of the embodiment, there is an effect that evaluations made by users can be made uniform.

FIG. 1 is a diagram showing information processing 1 according to the embodiment. FIG. 2 is a diagram illustrating information processing 2 according to the embodiment. FIG. 3 is a diagram illustrating a configuration example of an information processing system according to the embodiment; FIG. 4 is a diagram illustrating a configuration example of an information processing apparatus according to the embodiment; FIG. 5 is a diagram showing an example of user information. FIG. 6 is a diagram showing an example of product information. FIG. 7 is a flowchart illustrating a processing procedure of information processing 1 executed by the information processing apparatus according to the embodiment. FIG. 8 is a flowchart illustrating a processing procedure of information processing 2 executed by the information processing apparatus according to the embodiment. FIG. 9 is a diagram illustrating an example of a hardware configuration;

Hereinafter, modes for implementing an information processing apparatus, an information processing method, and an information processing program according to the present application (hereinafter referred to as "embodiments") will be described in detail with reference to the drawings. The information processing apparatus, information processing method, and information processing program according to the present application are not limited to this embodiment. Also, in each of the following embodiments, the same parts are denoted by the same reference numerals, and overlapping descriptions are omitted.

(embodiment)
First, information processing 1 executed by the information processing apparatus according to the embodiment will be described with reference to FIG. FIG. 1 is a diagram showing information processing 1 according to the embodiment. Note that FIG. 1 shows an operation example of an information processing system S including the information processing device 1 according to the embodiment. As shown in FIG. 1 , an information processing system S according to the embodiment includes an information processing device 1 and a plurality of user terminals 50 .

In information processing No. 1 according to the embodiment, evaluation features relating to how a user who has evaluated a purchased product (hereinafter, may be referred to as a purchased product) evaluates are extracted, and the product is evaluated based on the evaluation features. Correct the rating.

Specifically, first, the user terminal 50 according to the embodiment transmits the evaluation of the product purchased by the user to the information processing device 1 (step S1). The product evaluation is, for example, a product review, a product evaluation score, or the like.

Subsequently, the information processing apparatus 1 according to the embodiment extracts evaluation features related to how the user gives an evaluation based on the obtained evaluation of the purchased product (step S2). The evaluation features include, for example, a user's review tendency (whether he tends to write a positive review or a tendency to write a negative review, etc.), the tendency of how evaluation scores are assigned, and the like.

In addition, as evaluation features, the user's evaluation reliability (the degree of fluctuation in evaluation), the evaluation of the review itself, the number of characters in the review, and the timing of evaluation (how many days after the release date tends to be evaluated) , frequency of evaluation, and the like.

Further, the evaluation feature may be the evaluation feature of the purchased product as a whole, or may be the evaluation feature of each attribute (usability, durability, etc.) of the purchased product.

Subsequently, the information processing apparatus 1 according to the embodiment corrects the evaluation of the purchased product made by the user based on the extracted evaluation features (step S3). For example, the information processing apparatus 1 corrects the evaluations of users who tend to write positive reviews and users who tend to give high evaluation scores to be lower than the evaluations made by the users. do.

Further, the information processing apparatus 1 may correct the evaluation based on, for example, user attribute information, product attribute information, etc., in addition to the evaluation features. The user's attribute information includes, for example, product category information in which the user is interested, age, occupation, and the like. The product attribute information includes, for example, the manufacturer, release date, number of users who have evaluated the product, and the like.

Note that the correction of the evaluation may be the correction of the evaluation of the product itself, or may be the correction of the evaluation for each attribute (usability, durability, etc.) of the product.

Then, the information processing device 1 discloses the corrected evaluation of the purchased product to other users. As for the disclosure method, for example, only the corrected evaluation may be disclosed, or the evaluation before correction may be disclosed together.

As described above, according to the information processing apparatus 1 according to the embodiment, by correcting the evaluation based on the evaluation characteristics of the user, it is possible to uniform the evaluation made by the user.

Next, the second information processing executed by the information processing apparatus according to the embodiment will be described with reference to FIG. FIG. 2 is a diagram illustrating information processing 2 according to the embodiment.

In the information processing 2 according to the embodiment, the user's evaluation of the product is generated based on the purchase status of related products by the user who purchased the product.

Specifically, the user terminal 50 according to the embodiment transmits information on the purchased product purchased by the user to the information processing device 1 (step S11). The purchased product information includes, for example, product names and attribute information such as categories.

Subsequently, the user terminal 50 according to the embodiment transmits information on the purchase status of related products related to the purchased product (step S12). Related products include, for example, similar products, competing products, accessories of purchased products, products that complement the functions of purchased products, and the like. The purchase status includes, for example, the presence/absence of purchase of related products, the purchase quantity, the purchase timing, and the like.

Subsequently, the information processing apparatus 1 according to the embodiment generates an evaluation of the user's purchase product based on the acquired purchase status of the related product (step S13). Specifically, the information processing apparatus 1 estimates the user's evaluation of the purchased product by looking at the purchase status of the related product for the user who has not evaluated the purchased product.

For example, when a bag for carrying the purchased product is purchased as a related product, the information processing device 1 presumes that the user likes the product and uses it (carries it around), and generates a high evaluation. Further, for example, when a competing product is purchased immediately after purchasing the product, the information processing device 1 presumes that the purchased product is not liked and generates a low evaluation. Also, if the user has purchased a related product that supplements the function of the purchased product (for example, a third-party charging cable attached to the purchased product), the information processing device 1 presumes that there is dissatisfaction with the accessory. Generate ratings.

In addition to the purchase status of the related product, the information processing device 1 also detects, for example, how often the purchased product appears in the image captured by the camera of the user terminal 50, and the search behavior of the product after purchase (search for relieving dissatisfaction). history, etc.), information posted on purchased products on SNS (Social Networking Service), and the like may be taken into account to generate an evaluation.

As described above, according to the information processing apparatus 1 according to the embodiment, by grasping the purchase status of the related product of the user who has not evaluated the purchased product and generating the evaluation of the purchased product, the evaluation of the purchased product can be performed. can be generated properly.

Note that the information processing apparatus 1 may correct the evaluation described in the first information processing based on the generated evaluation, or may disclose the generated evaluation itself to other users.

Next, a configuration example of the information processing system S according to the embodiment will be described with reference to FIG. FIG. 3 is a block diagram showing a configuration example of the information processing system S according to the embodiment. As shown in FIG. 3, in an information processing system S according to the embodiment, an information processing device 1 and a plurality of user terminals 50 are connected to a network N by wire or wirelessly. The network N is, for example, the Internet, a WAN (Wide Area Network), a LAN (Local Area Network), or the like.

The information processing device 1 is a server device that executes an information processing method. The information processing device 1 performs processing related to evaluation of products purchased by users.

The information processing device 1 cooperates with the user terminal 50 of each user, and provides API (Application Programming Interface) services for various applications (hereinafter referred to as apps) and various It is an information processing device that provides data, and is realized by a server device, a cloud system, or the like.

Further, the information processing device 1 may be an information processing device that provides some web service online to the user terminal 50 of each user. For example, the information processing apparatus 1 provides, as Web services, Internet connection, search service, SNS (Social Networking Service), electronic commerce (EC: Electronic Commerce), electronic payment, online game, online banking, online trading, accommodation/ticket reservation. , video/music distribution, news, maps, route search, route guidance, route information, operation information, weather forecast, etc. may be provided. In practice, the information processing apparatus 1 may cooperate with various servers that provide web services as described above, mediate the web services, or take charge of the processing of the web services.

Note that the information processing device 1 can acquire user information about the user. For example, the information processing device 1 acquires information about user attributes such as the user's sex, age, and area of residence. The information processing apparatus 1 stores and manages identification information (user ID, etc.) indicating the user and information about the attribute of the user.

In addition, the information processing apparatus 1 acquires various types of history information (log data) indicating actions of the user from the user terminal 50 of the user or from various servers based on the user ID or the like. For example, the information processing device 1 acquires a location history, which is a history of the user's location and date and time, from the user terminal 50 . The information processing device 1 also acquires a search history, which is a history of search queries input by the user, from a search server (search engine). The information processing apparatus 1 also acquires a viewing history, which is a history of content viewed by the user, from the content server. The information processing device 1 also acquires a purchase history (payment history), which is a history of user's product purchases and payment processing, from an electronic commerce server or a payment processing server. Further, the information processing device 1 may acquire the exhibition history and sales history, which are the history of the user's exhibition in the marketplace, from the electronic commerce server or the settlement server. In addition, the information processing device 1 acquires a posting history, which is a history of posts by users, from a posting server that provides a word-of-mouth posting service or an SNS server.

A user terminal 50 is a terminal device owned by a user. The user terminal 50 can be any type of terminal device such as a smart phone, desktop PC, notebook PC, tablet PC, or the like. The user terminal 50 transmits various types of information to the information processing device 1 and receives information provided from the information processing device 1 .

Next, a configuration example of the information processing apparatus 1 will be described with reference to FIG.

FIG. 4 is a diagram showing a configuration example of the information processing device 1 according to the embodiment. As shown in FIG. 4 , the information processing device 1 has a communication section 2 , a control section 3 and a storage section 4 . The control unit 3 includes an acquisition unit 31 , an extraction unit 32 , a generation unit 33 , a correction unit 34 and a presentation unit 35 . The storage unit 4 stores user information 41 and product information 42 .

The communication unit 2 is realized by, for example, a NIC (Network Interface Card) or the like. The communication unit 2 is connected to a network by wire or wirelessly.

The control unit 3 is a controller, and for example, various programs (information processing (corresponding to an example of a program) is executed using a RAM or the like as a work area. Further, the control unit 3 is a controller, and may be implemented by an integrated circuit such as an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or a GPGPU (General Purpose Graphic Processing Unit). .

The storage unit 4 is realized by, for example, a semiconductor memory device such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk.

The user information 41 is information about the user. FIG. 5 is a diagram showing an example of the user information 41. As shown in FIG. As shown in FIG. 5, the user information 41 includes items such as "user ID", "attribute information", and "behavior information".

"User ID" is identification information that identifies a user. The “attribute information” is information about attributes of the user, including psychographic attributes, demographic attributes, and the like. "Behavior information" is information about user behavior, and includes, for example, search behavior, purchase behavior, location behavior, and the like.

The product information 42 is information about products. FIG. 6 is a diagram showing an example of the product information 42. As shown in FIG. As shown in FIG. 5, the product information 42 includes items such as "product ID", "evaluation information", and "correction evaluation information".

“Product ID” is identification information for identifying the product. The “evaluation information” is information about the evaluation of the product by the user who purchased the product, and includes evaluations made by the user (reviews and evaluation scores given by the user) and Including evaluation. "Correction evaluation information" is information about evaluation after correction by the correction unit 34, which will be described later.

Next, each function (acquisition unit 31, extraction unit 32, generation unit 33, correction unit 34, and presentation unit 35) of the control unit 3 of the information processing device 1 will be described.

The acquisition unit 31 acquires various types of information. For example, the acquisition unit 31 acquires the user's evaluation of the purchased product. In addition, the acquisition unit 31 acquires the evaluation of the beneficiary for related products related to the purchased product. Evaluations are, for example, reviews and evaluation scores. The acquisition unit 31 also acquires user attribute information, product attribute information, and the like. The acquisition unit 31 also acquires information on various periods, such as the period from the release date of the purchased product to the purchase date and the period from purchase to evaluation.

In addition, the acquisition unit 31 acquires information on the purchase status of related products from the user who purchased the product. Further, the acquisition unit 31 acquires an image including the purchased product from the user terminal 50 . The acquisition unit 31 also acquires the search behavior of the user who purchased the product. In addition, the acquisition unit 31 acquires post information on the SNS of the user who purchased the product.

The extraction unit 32 extracts evaluation features related to how users give evaluations. For example, the extraction unit 32 extracts the evaluation feature of the entire purchased product or the evaluation feature for each attribute of the purchased product. The extraction unit 32 also calculates the reliability of the user's past evaluations as evaluation features. The reliability can be calculated, for example, based on the deviation of evaluation (deviation of evaluation score).

The generation unit 33 generates an evaluation of the purchased product by the user based on the information acquired by the acquisition unit 31 . The generation target of the evaluation by the generation unit 33 is, for example, a user who has not evaluated the purchased product, but may include a user who has evaluated the purchased product.

For example, the generating unit 33 generates related products such as products that compete with the purchased product, products related to the use of the purchased product (such as a bag for storing the purchased product), substitutes for accessories of the purchased product, and products that supplement the functions of the purchased product. Generate a rating based on

Moreover, the generation unit 33 may generate the evaluation of the purchased product based on the evaluation of the related product. For example, when there is a post indicating that the purchased product is liked in the review of the related product, the generating unit 33 generates a high evaluation of the purchased product.

Moreover, the generation unit 33 may generate an evaluation based on an image in which the purchased product is reflected. For example, the generation unit 33 generates a higher evaluation as the number of images in which the purchased product is captured increases, or generates a higher evaluation when there is an image in which a user who loves the purchased product appears. generate.

Moreover, the generating unit 33 may generate the evaluation based on the search behavior of the user who purchased the product. For example, the generating unit 33 generates a high evaluation when searching for an application of how to use the purchased product, and generates a low evaluation when searching for resolving dissatisfaction with the purchased product. do.

Further, the generation unit 33 may generate an evaluation based on information posted by the user on SNS. For example, the generating unit 33 generates a high evaluation when posting information praising a purchased product on an SNS.

Note that the generation unit 33 may generate the evaluation of the purchased product using a learning model generated using the various information acquired by the acquisition unit 31 as explanatory variables and the evaluation as the objective variable.

The correction unit 34 corrects the evaluation of the purchased product based on the evaluation features extracted by the extraction unit 32 . For example, the correction unit 34 includes the tendency of the review, the tendency of the evaluation score, the reliability of the user's evaluation, the user's attribute information (interested category, etc.), the evaluation of the review itself, the number of characters in the review, and the release date. The evaluation of the purchased product is corrected based on various information such as the period until the date of purchase, the period from the date of purchase to the date of evaluation, and the number of users who have evaluated.

For example, the correction unit 34 can correct the evaluation using a learning model generated using the above various information as an explanatory variable and the evaluation after correction as an objective variable.

Further, the correction unit 34 may correct the evaluation of the purchased product based on the evaluation generated by the generation unit 33 .

The presentation unit 35 presents the evaluation corrected by the correction unit 34 and the evaluation generated by the generation unit 33 to other users. For example, the presentation unit 35 may present the evaluation corrected by the correction unit 34 or the evaluation generated by the generation unit 33 together with the user's evaluation of the purchased product. or only the evaluation generated by the generator 33 may be presented.

For example, the presentation unit 35 presents the evaluation score corrected by the correction unit 34 or the evaluation score generated by the generation unit 33 . Further, the presentation unit 35 may calculate the reliability of the review posted by the user based on the correction result of the correction unit 34 and the generation result of the generation unit 33, and present information based on the reliability. good.

Next, a processing procedure of information processing 1 executed by the information processing apparatus 1 according to the embodiment will be described with reference to FIG. 7 . FIG. 7 is a flowchart showing the processing procedure of information processing 1 executed by the information processing apparatus 1 according to the embodiment.

As shown in FIG. 7, the control unit 3 first acquires the user's evaluation of the purchased product (step S101). Subsequently, the control unit 3 extracts evaluation features related to how the user gives evaluations based on the obtained evaluations (step S102). Subsequently, the control unit 3 corrects the product evaluation based on the extracted evaluation features (step S103), and terminates the process.

Next, a processing procedure of information processing 2 executed by the information processing apparatus 1 according to the embodiment will be described with reference to FIG. 8 . FIG. 8 is a flowchart showing the processing procedure of information processing 2 executed by the information processing apparatus 1 according to the embodiment.

As shown in FIG. 8, the control unit 3 first acquires information on the purchased product (step S201). Subsequently, the control unit 3 acquires information on the purchase status of related products (step S202). Subsequently, the control unit 3 generates an evaluation for the product based on the purchase status of the related product (step S203), and terminates the process.

〔others〕
Also, among the processes described in the above embodiments, some of the processes described as being automatically performed can also be performed manually. Alternatively, all or part of the processes described as being performed manually can be performed automatically by known methods. In addition, information including processing procedures, specific names, various data and parameters shown in the above documents and drawings can be arbitrarily changed unless otherwise specified. For example, the various information shown in each drawing is not limited to the illustrated information.

Also, each component of each device illustrated is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution and integration of each device is not limited to the one shown in the figure, and all or part of them can be functionally or physically distributed and integrated in arbitrary units according to various loads and usage conditions. Can be integrated and configured.

For example, part or all of the storage unit 4 shown in FIG. 4 may be held in a storage server or the like instead of being held by each device. In this case, each device acquires various information by accessing the storage server.

[Hardware configuration]
Further, the information processing apparatus 1 according to the above-described embodiments is implemented by a computer 1000 configured as shown in FIG. 9, for example. FIG. 9 is a diagram illustrating an example of a hardware configuration; A computer 1000 is connected to an output device 1010 and an input device 1020, and an arithmetic device 1030, a primary storage device 1040, a secondary storage device 1050, an output IF (Interface) 1060, an input IF 1070, and a network IF 1080 are connected via a bus 1090. have

The arithmetic device 1030 operates based on programs stored in the primary storage device 1040 and the secondary storage device 1050, programs read from the input device 1020, and the like, and executes various processes. The primary storage device 1040 is a memory device such as a RAM that temporarily stores data used by the arithmetic device 1030 for various calculations. The secondary storage device 1050 is a storage device in which data used for various calculations by the arithmetic device 1030 and various databases are registered. It is realized by

The output IF 1060 is an interface for transmitting information to be output to the output device 1010 that outputs various types of information such as a monitor and a printer. It is realized by a connector conforming to a standard such as HDMI (registered trademark) (High Definition Multimedia Interface). Also, the input IF 1070 is an interface for receiving information from various input devices 1020 such as a mouse, keyboard, scanner, etc., and is realized by, for example, USB.

Note that the input device 1020 includes, for example, optical recording media such as CDs (Compact Discs), DVDs (Digital Versatile Discs), PDs (Phase change rewritable discs), magneto-optical recording media such as MOs (Magneto-Optical discs), and tapes. It may be a device that reads information from a medium, a magnetic recording medium, a semiconductor memory, or the like. Also, the input device 1020 may be an external storage medium such as a USB memory.

Network IF 1080 receives data from other devices via network N and sends the data to arithmetic device 1030, and also transmits data generated by arithmetic device 1030 via network N to other devices.

The arithmetic device 1030 controls the output device 1010 and the input device 1020 via the output IF 1060 and the input IF 1070 . For example, arithmetic device 1030 loads a program from input device 1020 or secondary storage device 1050 onto primary storage device 1040 and executes the loaded program.

For example, when the computer 1000 functions as the information processing device 1 , the arithmetic device 1030 of the computer 1000 implements the functions of the control unit 3 by executing programs loaded on the primary storage device 1040 .

〔effect〕
As described above, the information processing device 1 according to the embodiment includes the extractor 32 and the corrector 34 . The extracting unit 32 extracts evaluation features relating to how the user who evaluated the purchased product gives an evaluation. The correction unit 34 corrects the evaluation based on the extracted evaluation features. The extracting unit 32 extracts, as an evaluation feature, the evaluation tendency of the user based on the evaluation of the purchased product. The correction unit 34 corrects the evaluation based on the number of users who evaluated the purchased product. The correction unit 34 corrects the evaluation based on the period from the date of sale of the product to the date of purchase of the product. The correction unit 34 corrects the evaluation based on the period from the date of purchase of the product to the date of evaluation. The extraction unit 32 extracts the reliability of evaluations made by the user in the past as evaluation features. The extraction unit 32 extracts an evaluation feature for each attribute of the purchased product. The correction unit 34 corrects the evaluation for each attribute. The presentation unit 35 presents the evaluation corrected by the correction unit 34 and the evaluation made by the user to other users. With such a configuration, evaluations made by users can be made uniform.

Further, as described above, the information processing device 1 according to the embodiment includes the acquisition unit 31 and the generation unit 33 . The acquisition unit 31 acquires information about the purchase status of related products by the user who purchased the product. The generation unit 33 generates an evaluation of the user's product based on the purchase status. The acquisition unit 31 acquires information about the purchase status of related products that are substitutes for accessories of products. Acquisition unit 31 acquires information on the purchase status of related products related to the use of the product. The acquisition unit 31 acquires information about the purchase status of related products that are competing products of the product. Acquisition unit 31 acquires information about the purchase status of related products that supplement the functions of products. The acquisition unit 31 further acquires the user's evaluation of the related product. The generation unit 33 generates an evaluation of the product based on the user's evaluation of the related product. The acquisition unit 31 further acquires an image of the camera provided in the user terminal 50 owned by the user. The generation unit 33 generates an evaluation for the product based on how the product is reflected in the image. The acquisition unit 31 further acquires information on the user's search behavior regarding products. The generation unit 33 generates an evaluation for the product based on the search behavior. The acquisition unit 31 further acquires information posted by the user on the SNS. The generation unit 33 generates an evaluation for a product based on the posted information regarding the product included in the posted information. With such a configuration, it is possible to appropriately generate the evaluation of the purchased product.

As described above, some of the embodiments of the present application have been described in detail based on the drawings. It is possible to carry out the invention in other forms with modifications.

〔others〕
Further, among the processes described in the above embodiments, all or part of the processes described as being automatically performed can be manually performed, or the processes described as being performed manually can be performed manually. All or part of this can also be done automatically by known methods. In addition, information including processing procedures, specific names, various data and parameters shown in the above documents and drawings can be arbitrarily changed unless otherwise specified. For example, the various information shown in each drawing is not limited to the illustrated information.

Also, each component of each device illustrated is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution and integration of each device is not limited to the one shown in the figure, and all or part of them can be functionally or physically distributed and integrated in arbitrary units according to various loads and usage conditions. Can be integrated and configured.

Further, each processing described in the above-described embodiments can be appropriately combined within a range that does not contradict the content of the processing.

Also, the "section, module, unit" described above can be read as "means" or "circuit". For example, the control unit 3 can be read as control means or a control circuit.

1 information processing device 2 communication unit 3 control unit 4 storage unit 31 acquisition unit 32 extraction unit 33 generation unit 34 correction unit 35 presentation unit 41 user information 42 product information 50 user terminal S information processing system

Claims (10)

an extraction unit for extracting evaluation features relating to how a user who has evaluated a purchased product gives an evaluation;
and a correction unit that corrects the evaluation based on the extracted evaluation feature. The extractor is
2. The information processing apparatus according to claim 1, wherein a tendency of said user's evaluation is extracted as said evaluation feature based on said evaluation of said purchased product. The correction unit is
3. The information processing apparatus according to claim 1, wherein said evaluation is corrected based on the number of said users who evaluated said purchased product. The correction unit is
4. The information processing apparatus according to any one of claims 1 to 3, wherein the evaluation is corrected based on a period from the sale date of the product to the date of purchase of the product. The correction unit is
The information processing apparatus according to any one of claims 1 to 4, wherein the evaluation is corrected based on a period from the date of purchase of the product to the date of the evaluation. The extractor is
6. The information processing apparatus according to any one of claims 1 to 5, wherein the reliability of the evaluation made by the user in the past is extracted as the evaluation feature. The extractor is
extracting the evaluation feature for each attribute of the purchased product;
The correction unit is
The information processing apparatus according to any one of claims 1 to 6, wherein the evaluation for each attribute is corrected. The method according to any one of claims 1 to 7, further comprising a presentation unit that presents the evaluation corrected by the correction unit and the evaluation made by the user to other users. The information processing device described. A computer-executed information processing method comprising:
an extraction step of extracting evaluation features relating to how users who have evaluated the purchased product give evaluation;
and a correction step of correcting the evaluation based on the extracted evaluation features. an extraction procedure for extracting evaluation features relating to how a user who has evaluated a purchased product gives an evaluation;
and a correction procedure for correcting the evaluation based on the extracted evaluation features.

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