JP-7857197-B2 - Information processing device, information processing method, and information processing program

JP7857197B2JP 7857197 B2JP7857197 B2JP 7857197B2JP-7857197-B2

Inventors

香田夏輝
合田寛都

Assignees

ＬＩＮＥヤフー株式会社

Dates

Publication Date: 20260512
Application Date: 20220916

Claims (7)

A prediction unit that predicts the sales trend of the unsold second product based on the sales history of the first product that has already been sold, A determination unit that determines whether the target product became popular based on a comparison of the predicted sales trend of the second product and the actual sales trend of the second product, Equipped with, The prediction unit uses training data containing sales data for the first and second products to be learned, and uses a prediction model that has been machine-trained to predict the sales trend of the second product from the input sales history data to predict the sales trend of the second product. An information processing device characterized by the following:
The information processing apparatus according to claim 1, wherein the prediction unit predicts the sales trend of the second product using a prediction model that has been machine-trained to predict the sales trend of the second product from the input sales history data, using training data having the characteristics of the learning target and sales data of the first product and the second product.
The information processing device according to claim 2, characterized in that the determination unit determines that the target has become popular when the sales trend of the second product actually sold exceeds the sales trend of the second product predicted.
The prediction model is a machine learning model that predicts the sales trend of the second product from the input sales history data and the type, using training data which includes the characteristics of the target and the sales data of the first and second products for each type of target purchaser. The prediction unit uses the prediction model to predict the sales trends of the unsold second product for each type of target buyer. The information processing device according to claim 1, characterized in that the determination unit determines whether or not the target product was popular among the types of purchasers, based on the result of comparing the predicted sales trend of the second product with the actual sales trend of the second product.
The aforementioned subject is a product consisting of multiple volumes, The prediction unit predicts the number of sales of the second product from the number of sales of the first product already sold. The information processing device according to claim 1, characterized in that the determination unit determines that the target has become popular when the actual number of the second product sold is greater than the predicted number of the second product sold, and the difference exceeds a predetermined threshold.
A method of information processing performed by a computer, Based on the sales history of the first product already sold, predict the sales trend of the second product, which has not yet been sold. Based on the comparison of the predicted sales trend of the second product with the actual sales trend of the second product, it is determined whether or not the subject became popular. Includes, Using training data containing sales data for the first and second products to be learned, a predictive model trained on machine learning to predict the sales trend of the second product from the input sales history data is used to predict the sales trend of the second product. An information processing method characterized by the following:
Based on the sales history of the first product already sold, predict the sales trend of the second product, which has not yet been sold. Based on the comparison of the predicted sales trend of the second product with the actual sales trend of the second product, it is determined whether or not the subject became popular. Have the computer run it , Using training data containing sales data for the first and second products to be learned, a predictive model trained on machine learning to predict the sales trend of the second product from the input sales history data is used to predict the sales trend of the second product. An information processing program characterized by the following features.

Description

This invention relates to an information processing device, an information processing method, and an information processing program. In recent years, with the dramatic spread of the internet, technologies for analyzing various types of information available online have become available. For example, a technology for analyzing customers while considering trends over time using purchase history data is known (see Patent Document 1). Japanese Patent Publication No. 2015-146145 Figure 1 shows an example of information processing performed by the information processing device according to the embodiment.Figure 2 is a scatter plot showing the correlation between the predicted sales figures and the actual sales figures for the target product.Figure 3 is a diagram illustrating an example of the operation of the information processing device shown in Figure 1.Figure 4 is a diagram illustrating another example of the operation of the information processing device shown in Figure 1.Figure 5 is a diagram illustrating another example of the operation of the information processing device shown in Figure 1.Figure 6 shows an example of the configuration of an information processing device in an information processing system according to an embodiment.Figure 7 is a flowchart showing an example of the information processing flow performed by an information processing device.Figure 8 shows an example of a hardware configuration. The following describes in detail, with reference to the drawings, the embodiments for implementing the information processing device, information processing method, and information processing program according to this application (hereinafter referred to as "embodiments"). Note that these embodiments do not limit the information processing device, information processing method, and information processing program according to this application. Furthermore, each embodiment can be appropriately combined as long as the processing content is not contradictory. Also, the same parts are denoted by the same reference numerals in each of the following embodiments, and redundant descriptions are omitted. (Embodiment) [1. An example of information processing] First, an example of information processing performed by the information processing device 100 will be explained using Figure 1. Figure 1 is a diagram showing an example of information processing performed by the information processing device according to the embodiment. In Figure 1, the information processing system 1 is a system that processes information related to the subject of sale. The subject of sale includes, for example, titles of manga, books, and content. The subject is a series of the same title that is divided into multiple sales items, which are sold in stages at different times. This embodiment describes an example where the subject is a manga title. In this case, the subsequent books (comics) that are the subject of sale are sold on different release dates, such as volume 1, volume 2, ..., volume n. "n" in volume n is an integer. While this embodiment describes the case where the sales item is a book, it could also be content or other content distributed in stages at different times. Information processing system 1 can provide functions to manage sales history, sales trends, etc., for each of the multiple sales items for the title under management. Information processing system 1 can also provide a function to predict sales trends for unsold items of the title based on the sales history of already sold items. Sales trends include, for example, changes in sales after an item's release, and characteristic quantities such as sales by gender and age group. Information processing system 1 can also provide a function to determine the popularity of a title based on the sales trends of its sales items. Sales trends include sales figures. [1-1. Overview of Information Processing] As shown in Figure 1, the information processing system 1 comprises a management device 10 and an information processing device 100. The management device 10 and the information processing device 100 are configured to communicate with each other via a network (not shown). The network includes, for example, a wired or wireless network. For the sake of simplicity, the following description will assume that the information processing system 1 has a one-to-one relationship between the information processing device 100 and the management device 10, but the information processing device 100 may be configured to transmit and receive data with each of multiple management devices 10. The management device 10 is a server device capable of managing the sales schedule, sales history, etc., of the target merchandise. The management device 10 includes, for example, a computer, dedicated equipment, an EC (Electronic Commerce) server, etc. The management device 10 manages sales data 500 for each target merchandise and provides the target sales data 500 in response to external requests. Sa