JP2024000299A - Information processing apparatus, information processing method, and information processing program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an information processing apparatus, an information processing method, and an information processing program for solving a social problem.

SOLUTION: An information processing apparatus 100 gives a user points and the like that can be used in electronic commerce services according to user's buying and selling actions in the electronic commerce services, and the information processing apparatus comprises: an acquisition unit 131 that acquires information on buying and selling performed by the user; an estimation unit 133 that, on the basis of the buying and selling information acquired by the acquisition unit 131, estimates a degree of contribution related to social contribution accompanying the buying and selling performed by the user; and a giving unit 134 that gives the user an incentive according to the degree of contribution estimated by the estimation unit 133.

SELECTED DRAWING: Figure 2

COPYRIGHT: (C)2024,JPO&INPIT

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 Electronic shopping malls (online malls) in which electronic commerce (EC) in which products are sold via a network are conventionally known. For example, when a user buys or sells a product on an online shopping mall, an incentive such as a point return is paid according to the purchase price (for example, see Patent Document 1).

JP2019-239838A

However, with the conventional technology, there is room for improvement in providing electronic commerce services for solving social problems. Specifically, in recent years, awareness of Sustainable Development Goals (SDGs) has increased, but no e-commerce services have been provided to resolve these issues.

The present invention has been made in view of the above, and aims to provide an information processing device, an information processing method, and an information processing program that can provide electronic commerce services to solve social problems. .

In order to solve the above-mentioned problems and achieve the purpose, an information processing device according to the present invention includes an acquisition unit that acquires purchase and sale information of a user in electronic commerce, and based on the purchase and sale information acquired by the acquisition unit, The present invention is characterized by comprising: an estimating unit that estimates a degree of contribution related to the user's social contribution due to buying and selling; and an awarding unit that provides the user with an incentive according to the degree of contribution estimated by the estimating unit.

According to the present invention, it is possible to provide electronic commerce services for solving social problems.

FIG. 1 is a diagram illustrating an example of information processing according to an embodiment. FIG. 2 is a block diagram illustrating a configuration example of an information processing apparatus according to an embodiment. FIG. 3 is a diagram illustrating an example of a user information database according to the embodiment. FIG. 4 is a diagram illustrating an example of a social contribution information database according to the embodiment. FIG. 5 is a diagram illustrating an example of a notification screen according to the embodiment. FIG. 6 is a flowchart illustrating an example of the granting process according to the embodiment. FIG. 7 is a hardware configuration diagram showing an example of a computer that implements the functions of the information processing device according to the embodiment.

DESCRIPTION OF THE PREFERRED EMBODIMENTS An information processing apparatus, an information processing method, and an embodiment of an information processing program (hereinafter referred to as "embodiments") according to the present application will be described in detail below with reference to the drawings. Note that the information processing apparatus, information processing method, and information processing program according to the present application are not limited to this embodiment.

[Embodiment]
[1. Information processing〕
First, an example of information processing according to the embodiment will be described using FIG. 1. FIG. 1 is a diagram illustrating an example of information processing according to an embodiment.

The information processing apparatus 100 according to the embodiment shown in FIG. 1 is an information processing apparatus that provides points and the like that can be used in each electronic commerce service to a user according to the buying and selling behavior of the user in the electronic commerce service.

As shown in FIG. 1, electronic commerce services include EC sites that operate electronic shopping malls, auction sites that operate auctions on a network, flea market sites that operate flea markets on a network, and the like. Note that the electronic commerce service shown in FIG. 1 is an example, and may include other services such as a crowdfunding site, online trading, accommodation/ticket reservation, video/music distribution, etc.

The user terminal 50 provides various services provided by the electronic commerce service to the user U based on operations by the user U. For example, the user U can buy and sell products via the user terminal 50 via a web service provided by an electronic commerce service.

Incidentally, in recent years, interest and activities related to SDGs (Sustainable Development Goals) have been increasing throughout society. E-commerce services are also required to accelerate these activities.

Therefore, the information processing device 100 according to the embodiment estimates the degree of contribution (hereinafter also simply referred to as "contribution degree") regarding social contribution based on the buying and selling information of user U in the electronic commerce service, and We decided to give incentives to U.

Specifically, as shown in FIG. 1, when the user U buys and sells products in the electronic commerce service (step S1), the information processing device 100 acquires the buying and selling information of the user U from each electronic commerce service ( Step S2).

For example, the sales information includes information regarding purchased and sold products, product packaging, trading partners (for example, stores), transportation methods, and the like. Subsequently, the information processing device 100 estimates the degree of contribution regarding social contribution based on the buying and selling information acquired in step S2 (step S3). Note that the degree of contribution here indicates, for example, the degree to which the purchase and sale of the product contributes to social contribution from the perspective of SDGs.

As will be described later, the information processing device 100 generates in advance a model that has learned the relationship between buying and selling information and contribution level, and inputs the acquired buying and selling information into the model, so that the information processing device 100 Estimate the contribution associated with buying and selling.

In this model, for example, if the product bought and sold by user U is a product with a low environmental impact (such as a so-called ethical product), or if the product bought and sold is a fair trade product, the user's contribution is considered to be high. This is a model that has been trained to In addition to the products being bought and sold, the model here also considers the respective societies of companies involved in product sales, such as product manufacturers (or producers), product sellers, and transport companies that transport products. It may also be a model that estimates the degree of contribution according to contribution efforts.

Further, the information processing device 100 may estimate the degree of contribution based on UGC (User Generated Content) such as reviews and word of mouth in electronic commerce services, for example.

Furthermore, the information processing device 100 estimates whether or not the store has a high level of environmental awareness based on the evaluation of user reviews of stores opening in the online shopping mall, and increases the degree of contribution of the store with a high level of environmental awareness. You can. As an example, the information processing device 100 may estimate whether the store is environmentally conscious or not based on whether the store performs environmentally conscious packaging.

Further, the information processing device 100 may estimate the degree of contribution to be high, for example, when the seller's evaluation of the transaction partner in the auction is high. As an example, in an auction transaction, the information processing device 100 estimates a high degree of contribution from a buyer who readily accepts a seller's inquiry regarding simple packaging and is highly evaluated by the seller as a result of conducting a transaction using simple packaging. You can do it like this.

Then, the information processing apparatus 100 according to the embodiment provides an incentive to the user U according to the degree of contribution estimated in step S3 (step S4). For example, the incentive is a unique currency (so-called points) that can be used in each electronic commerce service, but it may also be a discount coupon or an exchange coupon.

The information processing device 100 provides a higher incentive to the user U as the degree of contribution is higher. In other words, the more the buying and selling by the user U contributes to social contribution, the higher the incentive the user U can receive.

In this way, the information processing apparatus 100 according to the embodiment provides an incentive to the user U according to the user U's degree of social contribution, so that the user U It is possible to raise awareness regarding social contribution.

Therefore, according to the information processing device 100 according to the embodiment, it is possible to provide electronic commerce services for solving social problems.

[2. Configuration example of information processing device]
Next, a configuration example of the information processing apparatus 100 according to the embodiment will be described using FIG. 2. FIG. 2 is a block diagram showing a configuration example of the information processing device 100 according to the embodiment. As shown in FIG. 2, the information processing device 100 includes a communication section 110, a storage section 120, and a control section 130.

(Communication Department 110)
The communication unit 110 is realized by, for example, a NIC (Network Interface Card). Further, the communication unit 110 is connected to a network by wire or wirelessly.

(Storage unit 120)
The storage unit 120 is realized by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk. As shown in FIG. 2, the storage unit 120 includes a user information database 121, a social contribution information database 122, and a model database 123.

(User information database 121)
The user information database 121 is a database that stores user information. The user information is information regarding each user U. FIG. 3 is a diagram showing an example of the user information database 121 according to the embodiment.

As shown in FIG. 3, the user information database 121 according to the embodiment includes items such as "user ID," "registration information," and "buying and selling history." The "user ID" is an identifier for identifying the user U. For example, each user U is given a common ID for each electronic commerce service.

"Registered information" is information that the user U has registered in the electronic commerce service, such as the name, age, address, and payment account of the corresponding user U. “Buy and sell history” is user U's buy and sell history in the electronic commerce service. For example, information such as when, which electronic commerce service, what was sold, to whom, and for how much is registered in the "sale and purchase history" at any time.

(Social contribution information database 122)
Returning to the explanation of FIG. 2. The social contribution information database 122 is a database that stores social contribution information. FIG. 4 is a diagram showing an example of the social contribution information database 122 according to the embodiment.

As shown in FIG. 4, the social contribution information database 122 according to the embodiment includes items such as "product ID", "product information", "manufacturer information", and "seller information". "Product ID" is an identifier for identifying products bought and sold in electronic commerce services, and the same product ID is assigned to the same product.

"Product information" is various information regarding the product, such as product category, product performance, power consumption, and lifespan. "Manufacturer information" is information about the manufacturer (or cultivation source) of the corresponding product, and particularly includes information about what efforts the manufacturer is taking from the perspective of SDGs.

"Vendor information" is information about a product's vendor (for example, a store that opens on an EC site), and particularly includes information about what efforts the vendor is taking from the perspective of SDGs. Note that, for example, the manufacturer information and vendor information can be obtained from, for example, the homepage of each company. In addition, the social contribution information database 122 may store, for example, information regarding the social contribution of each delivery company that undertakes delivery in each electronic commerce service for each delivery company.

(Model database 123)
The model database 123 is a database that stores models. The model here is a model that has learned the relationship between purchase and sale information and the degree of contribution regarding social contribution. Note that the model does not need to be of one type, and may be divided into multiple types depending on the items of the SDGs, for example.

(Control unit 130)
The control unit 130 is a controller, and controls the information processing device 100 using, for example, a CPU (Central Processing Unit), an MPU (Micro Processing Unit), an ASIC (Application Specific Integrated Circuit), or an FPGA (Field Programmable Gate Array). This is achieved by executing various programs (corresponding to an example of an information processing program) stored in an internal storage device using a storage area such as a RAM as a work area. In the example shown in FIG. 2, the control unit 130 includes an acquisition unit 131, a generation unit 132, an estimation unit 133, and a provision unit 134.

(Acquisition unit 131)
The acquisition unit 131 acquires purchase and sale information by the user U from each electronic commerce service via the communication unit 110. For example, the acquisition unit 131 acquires, as the purchase and sale information, information regarding the purchased and sold product, the purchase price, whether or not simple packaging is selected, and various information regarding the trading partner. Further, the acquisition unit 131 acquires shipping information regarding shipping of products, for example, as buying and selling information.

The acquisition unit 131 also updates the user information database 121 based on the acquired buying and selling information. Further, as shown in FIG. 4, the acquisition unit 131 acquires social contribution information stored in the social contribution information database 122, and updates the social contribution information database 122.

(Generation unit 132)
The generation unit 132 generates a model that has learned the relationship between buying and selling information and the degree of contribution regarding social contribution. For example, the generation unit 132 generates a model that has learned the relationship between buying and selling information and the degree of contribution regarding social contribution based on information registered in the social contribution information database 122.

For example, the generation unit 132 generates product performance (e.g., power consumption), environmental considerations in the manufacturing process (reduction of carbon dioxide emissions, decarbonization efforts, etc.), working environment in the manufacturing process (e.g., appropriate wages, etc.). A model is generated based on various initiatives related to social contribution by the manufacturer or distributor.

At this time, the generation unit 132 may generate a model that has learned the relationship between buying and selling information for each item of the SDGs and the degree of contribution regarding social contribution. Further, the generation unit 132 may generate a model such that, for example, the shorter the transportation distance for shipping the product, the higher the degree of contribution is output. In other words, in this case, if user U purchases a product from the store with the closest transportation distance among products sold at multiple stores, the degree of contribution will be higher than if the user U purchases the product at another store. .

Note that any type of model can be adopted as the model. For example, the generation unit 132 may employ SVM (Support Vector Machine) or DNN (Deep Neural Network) as a model. Here, the DNN may be a CNN (Convolutional Neural Network) or an RNN (Recurrent Neural Network). Further, the RNN may be LSTM (Long short-term memory) or the like. That is, any type of model can be adopted as the model. Further, the model may be a model realized by combining a plurality of models, such as a model combining CNN and RNN.

The learning is, for example, deep learning using a deep neural network (DNN). Data mining and other machine learning algorithms may also be used. The generation unit 132 performs model learning using the various learning methods described above.

(Estimation unit 133)
The estimating unit 133 estimates the degree of contribution of user U regarding social contribution associated with buying and selling based on the buying and selling information acquired by the acquiring unit 131. For example, the estimation unit 133 inputs the buying and selling information received from the acquisition unit 131 into a model registered in the model database 123, and estimates the output value as the degree of contribution. For example, the estimating unit 133 calculates the degree of contribution by inputting into the model any of the following information: performance (energy-saving performance) of purchased and sold products, information regarding the manufacturing process, social contribution efforts of the manufacturer, and shipping information regarding shipping of the product. Estimate.

Note that if models for each item of SDGs are registered in the model database 123, the estimation unit 133 selects a model for estimating the degree of contribution according to the product being bought and sold or the user U, for example. You can do it like this.

That is, the estimating unit 133 may estimate the degree of contribution from different perspectives for each product or for each user U. Further, for example, the degree of contribution for each item may be weighted depending on the philosophy of the user U.

According to such a configuration, it is possible to flexibly estimate the degree of contribution according to the product or the user U. Note that user U's philosophy may be estimated from user U's consumption behavior or SNS.

Further, as described above, the estimating unit 133 may estimate the degree of contribution based on the transportation distance of the product to be bought and sold or the social contribution efforts of the delivery company.

(Giving unit 134)
The granting unit 134 grants the user U an incentive according to the degree of contribution estimated by the estimating unit 133. For example, the estimating unit 133 provides the user U with points that can be used in an electronic commerce service, a discount ticket, or an exchange ticket that can be exchanged for a specific product as an incentive. Note that the specific product here is preferably, for example, a product related to SDGs, and more preferably a product that matches user U's consumption behavior.

The granting unit 134 determines the incentive to be given to the user U according to the degree of contribution, for example, using a predetermined calculation formula. For example, the granting unit 134 uses a predetermined calculation formula to calculate points (or a discount rate of a discount ticket) according to the degree of contribution. At this time, the granting unit 134 calculates the points (or the discount rate of the discount ticket) such that the higher the degree of contribution, the higher the points (or the discount rate of the discount ticket) to be given.

The granting unit 134 then grants the determined incentive to the user U. For example, the user U can confirm the provided incentive on a notification screen as shown in FIG. 5. FIG. 5 is a diagram illustrating an example of a notification screen according to the embodiment.

As shown in FIG. 5, when an incentive is given, a notification is sent from the information processing device 100 to the user terminal 50, and a notification screen as shown in FIG. 5 is displayed on the user terminal 50. For example, the notification screen displays the degree of social contribution (degree of contribution) associated with the purchase and sale, and the incentive provided according to the degree of contribution.

Thereby, the user U can easily confirm the degree of contribution associated with his or her buying and selling behavior, and furthermore, can confirm the incentive according to the degree of contribution.

Further, for example, as shown in the figure, a breakdown of the degree of contribution may be displayed on the notification screen, and by displaying the breakdown, the contributing factors can be visualized for the user U. As a result, user U's knowledge regarding social contribution can be expected to improve.

Furthermore, although the degree of contribution is expressed in points in the figure, it is not limited to this. For example, it may be changed depending on the user U. For example, if the user U is interested in global warming, it may be a visualization of the amount of carbon dioxide reduction, etc. Note that the notification screen shown in FIG. 5 is an example and can be changed arbitrarily.

[3. Processing flow]
Next, a processing flow executed by the information processing apparatus 100 according to the embodiment will be described using FIG. 6. FIG. 6 is a flowchart illustrating an example of the granting process according to the embodiment.

As shown in FIG. 6, the information processing device 100 acquires purchase and sale information by user U from each electronic commerce service (step S101). Subsequently, the information processing device 100 estimates the degree of contribution regarding social contribution based on the buying and selling information (step S102).

Subsequently, the information processing device 100 determines an incentive to be given to the user U according to the estimated degree of contribution (step S103). Subsequently, the information processing device 100 provides the determined incentive to the user U (step S104). Then, the information processing device 100 ends the process.

[4. Modified example]
In the embodiment described above, a case has been described in which the incentive is given to the user U who uses the electronic commerce service, but the present invention is not limited to this. For example, an incentive may be given to a store opened on an EC site as user U. That is, incentives may be given to stores that sell products that take SDGs into consideration, based on their sales and sales information. Note that the incentive at this time may be a reduction in various fees that the store pays to the EC site.

In this way, by providing incentives to stores, it is possible to encourage solutions to social problems from the standpoint of the sales side as well.

[5. effect〕
As described above, the information processing device 100 according to the present application includes an acquisition unit 131 that acquires purchase and sale information of a user in electronic commerce, and information regarding social contribution associated with the purchase and sale of the user based on the purchase and sale information acquired by the acquisition unit 131. It includes an estimation unit 133 that estimates the degree of contribution, and a granting unit 134 that provides the user with an incentive according to the degree of contribution estimated by the estimation unit 133.

Further, the acquisition unit 131 acquires product information regarding the product purchased by the user as sales information, and the estimation unit 133 estimates the degree of contribution based on the performance of the product based on the product information. Further, the acquisition unit 131 acquires information regarding the manufacturing process of the product as the product information, and the estimation unit 133 estimates the degree of contribution based on the information regarding the manufacturing process of the product.

Further, the acquisition unit 131 acquires information regarding the manufacturer of the product as product information, and the estimation unit 133 estimates the degree of contribution of the user based on the social contribution efforts of the manufacturer of the product.

Further, the acquisition unit 131 acquires shipping information regarding shipping of products bought and sold by the user as buying and selling information, and the estimation unit 133 estimates the degree of contribution based on the shipping information. The generation unit 132 includes a generation unit 132 that generates a model that has learned the relationship between the buying and selling information and the degree of contribution, and the estimation unit 133 estimates the degree of contribution using the model generated by the generation unit 132.

The granting unit 134 grants the user, as an incentive, points that can be used in electronic commerce, a discount ticket, or an exchange ticket that can be exchanged for a specific product, depending on the degree of contribution.

Through any one or a combination of the above-described processes, the information processing device according to the present application can provide electronic commerce services for solving social problems.

[6. Hardware configuration]
Further, the information processing apparatus 100 according to the embodiment described above is realized by, for example, a computer 1000 having a configuration as shown in FIG. FIG. 7 is a diagram showing an example of the hardware configuration. The computer 1000 is connected to an output device 1010 and an input device 1020, and a calculation device 1030, a primary storage device 1040, a secondary storage device 1050, an output I/F (Interface) 1060, an input I/F 1070, and a network I/F 1080 are connected to a bus. 1090.

The arithmetic unit 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 performs various processes. The arithmetic device 1030 is realized by, for example, a CPU (Central Processing Unit), an MPU (Micro Processing Unit), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or the like.

The primary storage device 1040 is a memory device such as a RAM (Random Access Memory) that temporarily stores data used by the calculation device 1030 for various calculations. Further, the secondary storage device 1050 is a storage device in which data used by the calculation device 1030 for various calculations and various databases are registered, and includes a ROM (Read Only Memory), an HDD (Hard Disk Drive), and an SSD (Solid Disk Drive). This is realized using flash memory, etc. The secondary storage device 1050 may be a built-in storage or an external storage. Further, the secondary storage device 1050 may be a removable storage medium such as a USB memory or an SD (Secure Digital) memory card. Further, the secondary storage device 1050 may be a cloud storage (online storage), a NAS (Network Attached Storage), a file server, or the like.

The output I/F 1060 is an interface for transmitting information to be output to the output device 1010 that outputs various information such as a display, a projector, and a printer. (Digital Visual Interface) and HDMI (registered trademark) (High Definition Multimedia Interface). Further, the input I/F 1070 is an interface for receiving information from various input devices 1020 such as a mouse, keyboard, keypad, button, scanner, etc., and is realized by, for example, a USB or the like.

Further, the output I/F 1060 and the input I/F 1070 may be wirelessly connected to the output device 1010 and the input device 1020, respectively. That is, output device 1010 and input device 1020 may be wireless devices.

Moreover, the output device 1010 and the input device 1020 may be integrated like a touch panel. In this case, the output I/F 1060 and the input I/F 1070 may also be integrated as an input/output I/F.

Note that the input device 1020 is, for example, an optical recording medium such as a CD (Compact Disc), a DVD (Digital Versatile Disc), or a PD (Phase change rewritable disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), or a tape. It may be a device that reads information from a medium, a magnetic recording medium, a semiconductor memory, or the like.

Network I/F 1080 receives data from other devices via network N and sends it to computing device 1030, and also sends data generated by computing device 1030 to other devices via network N.

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

For example, when the computer 1000 functions as the information processing device 100, the arithmetic unit 1030 of the computer 1000 realizes the functions of the control unit 130 by executing a program loaded onto the primary storage device 1040. Further, the arithmetic device 1030 of the computer 1000 may load a program obtained from another device via the network I/F 1080 onto the primary storage device 1040, and execute the loaded program. Furthermore, the arithmetic unit 1030 of the computer 1000 may cooperate with other devices via the network I/F 1080, and may call and use program functions, data, etc. from other programs of other devices.

[7. others〕
Although the embodiments of the present application have been described above, the present invention is not limited to the contents of these embodiments. Furthermore, the above-mentioned components include those that can be easily assumed by those skilled in the art, those that are substantially the same, and those that are in a so-called equivalent range. Furthermore, the aforementioned components can be combined as appropriate. Furthermore, various omissions, substitutions, or modifications of the constituent elements can be made without departing from the gist of the embodiments described above.

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

Furthermore, each component of each device shown in the drawings is functionally conceptual, and does not necessarily need to be physically configured as shown in the drawings. In other words, the specific form of distributing and integrating each device is not limited to what is shown in the diagram, and all or part of the devices can be functionally or physically distributed or integrated in arbitrary units depending on various loads and usage conditions. Can be integrated and configured.

For example, the information processing device 100 described above may be realized by a plurality of server computers, or depending on the function, it may be realized by calling an external platform etc. using an API (Application Programming Interface), network computing, etc. can be changed flexibly.

Furthermore, the above-described embodiments and modifications can be combined as appropriate within a range that does not conflict with the processing contents.

Further, the above-mentioned "section, module, unit" can be read as "means", "circuit", etc. For example, the acquisition unit can be read as an acquisition means or an acquisition circuit.

50 User terminal 100 Information processing device 110 Communication unit 120 Storage unit 121 User information database 122 Social contribution information database 123 Model database 130 Control unit 131 Acquisition unit 132 Generation unit 133 Estimation unit 134 Granting unit U User

Claims (10)

an acquisition unit that acquires user buying and selling information in electronic commerce;
an estimating unit that estimates a degree of social contribution associated with the buying and selling of the user based on the buying and selling information acquired by the acquiring unit;
a granting unit that grants the user an incentive according to the degree of contribution estimated by the estimation unit;
An information processing device comprising: The acquisition unit includes:
As the sales information, obtain product information regarding the product purchased by the user,
The estimation unit is
The information processing device according to claim 1, wherein the degree of contribution is estimated based on the performance of the product based on the product information. The acquisition unit includes:
Obtaining information regarding the manufacturing process of the product as the product information;
The estimation unit is
The information processing device according to claim 2, wherein the degree of contribution is estimated based on information regarding a manufacturing process of the product. The acquisition unit includes:
As the product information, information about the manufacturer of the product is obtained,
The estimation unit is
The information processing device according to claim 2 or 3, wherein the degree of contribution is estimated based on social contribution efforts by a manufacturer of the product. The acquisition unit includes:
Obtaining shipping information regarding shipping of the product bought and sold by the user as the buying and selling information,
The estimation unit is
The information processing device according to claim 1, wherein the degree of contribution is estimated based on the shipping information. a generation unit that generates a model that has learned the relationship between the buying and selling information and the degree of contribution;
The estimation unit is
The information processing apparatus according to claim 1, wherein the degree of contribution is estimated using the model generated by the generation unit. The imparting part is
According to the degree of contribution, any one of points that can be used in the electronic commerce, a discount ticket, and an exchange ticket that can be exchanged for a specific product is given to the user as the incentive, according to the degree of contribution. information processing equipment. The estimation unit is
Estimating the degree of contribution for each item related to social contribution,
The imparting part is
The information processing device according to claim 1, wherein the incentive is provided according to the degree of contribution for each item. An information processing method performed by a computer, the method comprising:
an acquisition step of acquiring user buying and selling information in electronic commerce;
an estimating step of estimating the degree of contribution of the user to social contribution associated with buying and selling based on the buying and selling information acquired in the acquiring step;
a granting step of granting an incentive to the user according to the degree of contribution estimated by the estimation step;
An information processing method characterized by comprising: an acquisition procedure for acquiring user buying and selling information in electronic commerce;
an estimation step of estimating the degree of contribution of the user to social contribution associated with buying and selling based on the buying and selling information acquired by the acquisition step;
a granting procedure for granting an incentive to the user according to the degree of contribution estimated by the estimation procedure;
An information processing program that causes a computer to execute.

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