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Commodity recommendation method and system

A product recommendation and product technology, applied in the computer field, can solve problems such as poor user experience, low recommendation accuracy, and low conversion rate, and achieve the effect of improving accuracy and user experience

Pending Publication Date: 2018-01-16
BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] First, poor user experience
Existing product recommendation systems often can only simply recommend products that users have purchased or browsed to users, and it is difficult to recommend products that users have not purchased or browsed to users.
[0005] Second, the recommendation accuracy rate is low and the conversion rate is low
In the existing product recommendation, the system only makes automatic recommendations based on user behavior, and the recommendations are often inaccurate

Method used

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  • Commodity recommendation method and system
  • Commodity recommendation method and system
  • Commodity recommendation method and system

Examples

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Embodiment Construction

[0035] Exemplary embodiments of the present invention are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present invention to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0036] It should be noted that, in the case of no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other.

[0037] figure 1 It is a schematic diagram of main steps of a product recommendation method according to an embodiment of the present invention. Such as figure 1 As shown, the product recommendation me...

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Abstract

The embodiments of the invention disclose a commodity recommendation method and system, which relate to the technical field of computer. The method includes the following steps: offering feature dataof commodities required by users to merchants to browse so merchants can set feature data of supply commodities; querying for relationship data between the features of the commodities required by users and users according to the feature data of the supply commodities of merchants to generate the corresponding relationship between users and supply commodities; and recommending commodities accordingto the corresponding relationship between users and supply commodities. Through the method, the accuracy and conversion rate of commodity recommendation can be improved, and the user experience can be improved.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a commodity recommendation method and system. Background technique [0002] At present, commodity recommendation systems mostly make recommendations based on several automatic recommendation algorithms. To put it simply, the existing product recommendation system mainly conducts statistical analysis on the purchasing and browsing behaviors of the current user or other users who have an intersection with the current user, and recommends products based on the analysis results. [0003] In the course of realizing the present invention, the inventor finds that there are at least the following problems in the prior art: [0004] First, the user experience is poor. Existing product recommendation systems often can only simply recommend products that users have purchased or browsed to users, and it is difficult to recommend products that users have not purchased or browsed t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02
Inventor 张之硕
Owner BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD
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