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Prop recommendation method and device, equipment and medium

A technology for recommending methods and props, applied in the field of machine learning, which can solve the problems of dynamic changes of users and inability to capture changes in user interests, and achieves the effect of high accuracy.

Pending Publication Date: 2022-05-17
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the user's interest will change dynamically, and related technologies cannot capture the change of user's interest

Method used

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  • Prop recommendation method and device, equipment and medium
  • Prop recommendation method and device, equipment and medium
  • Prop recommendation method and device, equipment and medium

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Experimental program
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Embodiment Construction

[0033] In order to make the purpose, technical solution and advantages of the present application clearer, the implementation manners of the present application will be further described in detail below in conjunction with the accompanying drawings.

[0034] First of all, the nouns involved in the embodiments of this application are introduced:

[0035] Artificial Intelligence (AI): It is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. In other words, artificial intelligence is a comprehensive technique of computer science that attempts to understand the nature of intelligence and produce a new kind of intelligent machine that can respond in a similar way to human intelligence. Artificial intelligence is to study the design principles and implementation methods of...

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Abstract

The invention discloses a prop recommendation method and device, equipment and a medium, and relates to the field of machine learning. The method comprises the steps of performing statistics on similar props of historical purchase props in historical purchase records of a user account to obtain a candidate recommendation set; according to prop purchase time and prop similarity, recommendation weights of the historically purchased props are calculated, the prop purchase time is used for measuring the influence degree of the purchase time of the historically purchased props on the recommended props, and the prop similarity is used for measuring the influence degree of the similar props on the recommended props; according to the recommendation weight of each historical purchase prop and each candidate recommendation prop in the candidate recommendation set, determining a weighted recommendation degree of each candidate recommendation prop; and according to the sequence of the weighted recommendation degrees of the candidate recommendation props, determining the recommendation props recommended to the user account. According to the invention, the accuracy of prop recommendation can be improved.

Description

technical field [0001] The present application relates to the field of machine learning, in particular to an item recommendation method, device, equipment and medium. Background technique [0002] Providing recommended props to users allows users to purchase their favorite props conveniently and quickly, saving time and cost, and improving user experience. [0003] The related technology first obtains the user's historical purchase records, and determines a candidate recommendation set according to similar items of each historical purchased item in the historical purchase records. Calculate the similarity between the candidate recommended items in the candidate recommendation set and each historical purchase item, and then obtain the recommendation degree of the candidate recommended items. Take several candidate recommendation items with the highest recommendation degree and recommend them to users. [0004] However, the user's interest will change dynamically, and relate...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A63F13/79G06K9/62G06N3/04G06N3/08
CPCA63F13/79G06N3/08G06N3/045G06F18/22
Inventor 徐广根
Owner TENCENT TECH (SHENZHEN) CO LTD