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Commodity recommendation method and device, terminal equipment and storage medium

A product recommendation and product technology, which is applied in the field of terminal equipment, storage media, devices, and product recommendation methods, can solve problems such as low accuracy of product recommendation, and achieve the effect of increasing product transaction volume, accuracy, and purchase rate

Active Publication Date: 2021-03-19
CHINA PING AN LIFE INSURANCE CO LTD
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  • Claims
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AI Technical Summary

Problems solved by technology

[0004] In view of this, the embodiment of the present application provides a product recommendation method, device, terminal device and storage medium to solve the problem of recommending products to users only considering the user's click records in the prior art product recommendation process. The problem of low product recommendation accuracy

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  • Commodity recommendation method and device, terminal equipment and storage medium
  • Commodity recommendation method and device, terminal equipment and storage medium
  • Commodity recommendation method and device, terminal equipment and storage medium

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Embodiment Construction

[0048]In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0049] The product recommendation method involved in the embodiment of the present application may be executed by a control device or a terminal (hereinafter referred to as "mobile terminal").

[0050] see figure 1 , figure 1 It shows an implementation flowchart of a product recommendation method provided by the embodiment of the present application, including:

[0051] In step S10, the user's item click data and item purchase data are obtained, and a product prediction model is trained according to the item click data and the item purchase data.

[0052] Wherein, the it...

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Abstract

The invention is applicable to the technical field of artificial intelligence, and provides a commodity recommendation method and device, terminal equipment and a storage medium. The method comprisesthe steps: training a commodity prediction model according to the article click data and article purchase data of a user; inputting the to-be-recommended commodity data into a commodity estimation model for click estimation and purchase estimation to obtain a click estimation result and a purchase estimation result; performing recommendation value calculation according to the commodity price, theestimated click rate and the estimated purchase rate of the to-be-recommended commodity to obtain a commodity recommendation value; and performing commodity recommendation on the to-be-recommended commodity according to the commodity recommendation value. The commodity recommendation value is obtained by calculating the recommendation value according to the commodity price, the estimated click rate and the estimated purchase rate, the influence of the price factor of the commodity on commodity purchase of the user is effectively considered, the interested degree of the user for different to-be-recommended commodities is effectively distinguished, and the purchase rate of the user for the commodity is increased. In addition, the invention also relates to the block-chain technology.

Description

technical field [0001] The present application relates to the field of artificial intelligence, and in particular to a commodity recommendation method, device, terminal equipment and storage medium. Background technique [0002] With the development of Internet technology, product recommendation has been widely used in the e-commerce industry. For example, taking various shopping APP applications as an example, it is usually based on the user's related searches, access records, and various users' purchases of various products. , Review big data to recommend corresponding products to users. [0003] However, because the existing product recommendation only considers the user's click record to recommend to the user, it does not take into account the influence of the user's willingness to purchase the product, which leads to low product recommendation accuracy. Contents of the invention [0004] In view of this, the embodiment of the present application provides a product re...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06G06N3/08
CPCG06Q30/0631G06N3/08
Inventor 黄严汉
Owner CHINA PING AN LIFE INSURANCE CO LTD
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