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Commodity recommendation method and device

A product recommendation and product technology, applied in the computer field, can solve problems such as users losing interest in products and reducing user experience.

Pending Publication Date: 2022-03-01
BEIJING SANKUAI ONLINE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In practical applications, the business platform will sort the products obtained based on product information and user information, and display them to users. However, this method of product recommendation will lead to repeated recommendations of similar products to users, causing users to lose interest in products. Interest, thereby reducing the user experience

Method used

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  • Commodity recommendation method and device
  • Commodity recommendation method and device
  • Commodity recommendation method and device

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Embodiment Construction

[0049] In order to make the purpose, technical solution and advantages of this specification clearer, the technical solution of this specification will be clearly and completely described below in conjunction with specific embodiments of this specification and corresponding drawings. Apparently, the described embodiments are only some of the embodiments in this specification, not all of them. Based on the embodiments in this specification, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this specification.

[0050] The technical solutions provided by each embodiment of this specification will be described in detail below in conjunction with the accompanying drawings.

[0051] figure 1 A schematic flow diagram of the method recommended for a commodity in this specification, including the following steps:

[0052] S100: Obtain commodity information of each candidate commodity and historical ord...

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PUM

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Abstract

The invention discloses a commodity recommendation method and device. The method comprises the following steps: firstly, obtaining commodity information of each candidate commodity and historical order information of a to-be-recommended user; secondly, according to the commodity features and preference features corresponding to the candidate commodities, performing commodity screening on the candidate commodities to obtain a recommended commodity combination, selecting the candidate commodities of which the commodity combination degree with the screened recommended commodities is not less than a set combination degree for each round of commodity screening, and selecting the candidate commodities of which the commodity combination degree with the selected recommended commodities is not less than the set combination degree; and removing the determined candidate commodities of which the commodity similarity is higher than the set similarity with the recommended commodities selected by the commodity screening of the round, and obtaining a candidate commodity set corresponding to the commodity screening of the next round until a preset condition is met. And finally, according to the recommended commodity combination, performing commodity recommendation to the to-be-recommended user. According to the method, the diversity of the recommended commodity combination can be improved, and the collocation among the recommended commodities in the recommended commodity combination is improved, so that the user experience is improved.

Description

technical field [0001] This specification relates to the field of computer technology, in particular to a method and device for product recommendation. Background technique [0002] With the continuous development of electronic technology and network technology, more and more users like online shopping. At present, product recommendation is usually made to users based on product characteristic information and user characteristic information. [0003] In practical applications, the business platform will sort the products obtained based on product information and user information, and display them to users. However, this method of product recommendation will lead to repeated recommendations of similar products to users, causing users to lose interest in the products. Interest, thereby reducing the user experience. [0004] Therefore, how to recommend products to users more reasonably is an urgent problem to be solved. Contents of the invention [0005] This specification ...

Claims

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Application Information

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IPC IPC(8): G06Q30/06
CPCG06Q30/0631
Inventor 崔同陈英杰任远王兴星彭婷
Owner BEIJING SANKUAI ONLINE TECH CO LTD
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