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Product recommendation method and device based on big data, equipment and storage medium

A recommendation method and big data technology, applied in data processing applications, market data collection, business, etc., can solve problems such as insufficient accuracy of service-oriented product recommendations

Pending Publication Date: 2020-10-27
CHINA PING AN PROPERTY INSURANCE CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The main purpose of the present invention is to solve the current technical problem of insufficient recommendation accuracy for service-type products

Method used

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  • Product recommendation method and device based on big data, equipment and storage medium
  • Product recommendation method and device based on big data, equipment and storage medium
  • Product recommendation method and device based on big data, equipment and storage medium

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Embodiment Construction

[0094] The embodiment of the present invention provides a big data-based product recommendation method, device, device, and storage medium. In the technical solution of the present invention, multiple behavior indicators of user accounts are used as evaluation parameters of the product recommendation solution, and multiple According to the parameters of the behavior index, the product purchase preference of the account is obtained, and then according to the quantified account purchase preference, a preset number of product combinations are screened and adapted as the product recommendation plan for the account, and then the product recommendation plan is packaged for the account When logging in, the product recommendation plan is displayed, and the user's behavior indicators are comprehensively evaluated. In addition to the purchasing power, there is also an analysis of personal quality, so as to provide the most suitable product recommendation plan to the corresponding user.

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Abstract

The invention relates to big data, and discloses a product recommendation method and device based on big data, equipment and a storage medium. The big data-based product recommendation method comprises the steps of reading user account information of a to-be-recommended product, the user account information comprising a plurality of user behavior indexes; inputting the user account information into a preset preference index evaluation model, and counting scores of the plurality of user behavior indexes through the preference index evaluation model to obtain a first preference index corresponding to the satisfaction degree of the user account for each type of products; screening products corresponding to the user account based on the first preference index to obtain a corresponding productrecommendation scheme; and packaging the product recommendation scheme and pushing the product recommendation scheme to a corresponding user account. In addition, the invention also relates to a blockchain technology, and the user account information can be stored in the blockchain. By analyzing all the behavior indexes of the user, the accuracy of generating the product recommendation scheme forthe user is higher.

Description

technical field [0001] The present invention relates to big data intelligent recommendation, in particular to a big data-based product recommendation method, device, equipment and storage medium. Background technique [0002] Since the 1980s, the service industry has developed rapidly. With the development of the Internet industry, people have more and more contacts with various service industries, such as financial products and insurance industries, and their awareness of risk protection has also increased. The types of service products are also increasingly diversified. With the rapid development of Internet finance, the types of service products have exploded, and recommended advertisements for service products can be seen everywhere. Open the product APP, and you can see all kinds of service products, and the transaction function can be realized with one click . [0003] Software is one of the most direct ways to recommend service-oriented products. The existing servic...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06Q30/06
CPCG06Q30/0201G06Q30/0202G06Q30/0631
Inventor 张伟
Owner CHINA PING AN PROPERTY INSURANCE CO LTD
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