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Product recommendation method and device based on multi-field classification, equipment and storage medium

A recommendation method and multi-field technology, applied in the field of computer-readable storage media and product recommendation, can solve the problem of low product diversity, achieve the effect of solving low product diversity, improving order and diversity

Pending Publication Date: 2021-09-24
PING AN BANK CO LTD
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Problems solved by technology

[0004] The present invention provides a product recommendation method, device and computer-readable storage medium based on multi-field classification, the main purpose of which is to solve the problem of low product diversity in product recommendation

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  • Product recommendation method and device based on multi-field classification, equipment and storage medium
  • Product recommendation method and device based on multi-field classification, equipment and storage medium
  • Product recommendation method and device based on multi-field classification, equipment and storage medium

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Embodiment Construction

[0057] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0058] The embodiment of the present application provides a product recommendation method based on multi-field classification. The execution subject of the multi-field classification-based product recommendation method includes but is not limited to at least one of electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the product recommendation method based on multi-field classification can be executed by software or hardware installed on the terminal device or server device, and the software can be a block chain platform. The server includes, but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like.

[0059] refer to figure 1 As shown, it is a schem...

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Abstract

The invention relates to a data analysis technology and discloses a product recommendation method based multi-field classification. The method comprises the following steps of: analyzing browsing durations of a user on products belonging to different product fields according to product browsing data; analyzing intention degrees of the user on the different product fields; determining the number of products needing to be pushed to the user in each product field according to the intention degrees and the total number of the recommended products; matching the user with the products in each product field; selecting the products of the number of the products needing to be pushed in the product field according to a matching result; calculating the correlation degree between the selected products and the user; and recommending products to the user according to the descending order of the correlation degrees. In addition, the invention further relates to a block chain technology, and product browsing data can be stored in nodes of a block chain. The invention further provides a product recommendation device based on multi-field classification, electronic equipment and a storage medium. The diversity of products during product recommendation can be improved.

Description

technical field [0001] The present invention relates to the technical field of data analysis, in particular to a product recommendation method, device, electronic equipment and computer-readable storage medium based on multi-field classification. Background technique [0002] Product recommendation is an effective solution to the overdose of products in the era of product quantity explosion. In the era of product quantity explosion, with the in-depth development of various industries online, there are products in different product fields to recommend to users. Therefore, For product suppliers integrating multi-domain products, how to implement multi-domain product recommendation to users has become an urgent problem to be solved. [0003] Most of the traditional product recommendation methods focus on product recommendation in a single field, that is, use data in a single field to model, and then realize product recommendations for users. However, because only data in a sing...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/335G06F16/33G06F16/332G06F40/284
CPCG06F16/335G06F16/3346G06F40/284G06F16/3329
Inventor 张业飞严明
Owner PING AN BANK CO LTD
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