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Object recommendation method and device

A recommendation method and object technology, applied in the Internet field, can solve problems such as inability to meet user preferences, poor conversion rate, poor matching of object recommendation, etc., and achieve the effect of increasing the conversion rate of object recommendation and improving matching

Pending Publication Date: 2021-12-10
BEIJING WODONG TIANJUN INFORMATION TECH CO LTD
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Problems solved by technology

[0003] In the process of realizing the disclosed idea of ​​the present invention, the inventor found that when recommending objects based on user historical behaviors in related technologies, due to the increasing update of e-commerce services, users may have no historical behaviors or a small number of historical behaviors on the e-commerce platform. New requirements. At this time, the recommended objects determined based on the user's historical behavior may not meet the user's preferences, which in turn leads to poor matching of object recommendations and poor conversion rates.

Method used

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  • Object recommendation method and device
  • Object recommendation method and device
  • Object recommendation method and device

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Embodiment Construction

[0029] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. It should be understood, however, that these descriptions are illustrative only and are not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concepts of the present disclosure.

[0030] The terminology used herein is for the purpose of describing particular embodiments only, and is not intended to be limiting of the present disclosure. The terms "comprising", "comprising", etc. used herein indicate the presence of stated feature...

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Abstract

The invention provides an object recommendation method. The method comprises the following steps: determining a first search feature of search information from a user; determining historical behavior information of the user for the first search feature; determining average preference information associated with the first search feature; according to the historical behavior information and the average preference information, determining a predicted preference object of the user for the first search feature; and pushing the predicted preference object to the user. The invention further provides an object recommendation device, electronic equipment and a computer readable storage medium.

Description

technical field [0001] The present disclosure relates to the technical field of the Internet, and more specifically, to an object recommendation method, an object recommendation device, an electronic device, and a computer-readable storage medium. Background technique [0002] With the rapid development of Internet technology, the field of e-commerce has become increasingly mature. Users will generate a large number of user behaviors on the e-commerce platform, which contain a lot of fine-grained and real-time user preference information. Therefore, object recommendation based on user historical behavior is one of the important contents of e-commerce business activities. [0003] In the process of realizing the disclosed idea of ​​the present invention, the inventor found that when recommending objects based on user historical behaviors in related technologies, due to the increasing update of e-commerce services, users may have no historical behaviors or a small number of hi...

Claims

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Application Information

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IPC IPC(8): G06Q30/06G06F16/9535
CPCG06Q30/0631G06F16/9535
Inventor 刘鹄吕静武赛赵夕炜徐夙龙
Owner BEIJING WODONG TIANJUN INFORMATION TECH CO LTD
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