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A method and apparatus for performing commodity recommendation

A product recommendation and product technology, applied in the field of data processing, can solve problems such as decreased user experience and a lot of time spent

Active Publication Date: 2019-01-11
北京九狐时代智能科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0002] In recent years, with the continuous expansion of the scale of e-commerce, the number and types of products have grown rapidly. When users choose products, they usually need to spend a lot of time to filter out the products they want to buy from a large number of irrelevant products. Decrease user experience

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  • A method and apparatus for performing commodity recommendation
  • A method and apparatus for performing commodity recommendation
  • A method and apparatus for performing commodity recommendation

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Embodiment Construction

[0046] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only It is a part of the embodiments of this application, not all of them. The components of the embodiments of the application generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of the application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without...

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Abstract

The invention provides a method and apparatus for performing commodity recommendation, wherein, the method comprises the following steps of: acquiring user behavior data generated by user behavior operation on electronic products, and determining user attention to the products of the electronic products according to the user behavior data; inputting the obtained user browsing behavior data to thesimilarity prediction model to obtain the similarity between different commodities output by the similarity prediction model; determining a user similarity between different users according to the commodity purchase data of the user; determining a commodity recommend to a user according to the commodity attention, the commodity similarity and the user similarity. Embodiments of the present application recommend commodities that may be of interest to a user through a similarity prediction model, saving browsing time for the user and providing a more accurate personalized commodity recommendation for the user.

Description

technical field [0001] The present application relates to the technical field of data processing, in particular, to a method and device for product recommendation. Background technique [0002] In recent years, with the continuous expansion of the scale of e-commerce, the number and types of products have increased rapidly. When users choose products, they usually need to spend a lot of time to filter out the products they want to buy from a large number of irrelevant products. Decrease user experience. [0003] In order to solve the above problems, e-commerce recommendation system came into being. The current e-commerce recommendation system on the Internet generally recommends products based on product sales rankings and user ratings on products. Contents of the invention [0004] In view of this, the purpose of this application is to provide a method and device for product recommendation, so as to provide users with more accurate personalized product recommendations, ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06
CPCG06Q30/0631
Inventor 韩亮翁谦张博宣刘玉明
Owner 北京九狐时代智能科技有限公司