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Commodity recommendation method, device and equipment and storage medium

A product recommendation and product technology, applied in the field of artificial intelligence, to achieve the effect of improving accuracy and retaining stability

Pending Publication Date: 2022-06-03
华润数字科技有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the embodiments of the present invention is to propose a product recommendation method, device, equipment and storage medium, which overcomes the similarity measurement problem caused by homogeneity and randomness in the prior art, and improves the efficiency of product recommendation to users. accuracy

Method used

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  • Commodity recommendation method, device and equipment and storage medium
  • Commodity recommendation method, device and equipment and storage medium

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Embodiment Construction

[0037] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field of the invention; the terms used herein in the specification of the application are only used to describe specific embodiments It is not intended to limit the present invention; the terms "comprising" and "having" and any variations thereof in the description and claims of the present invention and the above description of the drawings are intended to cover non-exclusive inclusion. The terms "first", "second" and the like in the description and claims of the present invention or the above drawings are used to distinguish different objects, rather than to describe a specific order.

[0038] Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present invention. The appear...

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Abstract

The embodiment of the invention belongs to the field of artificial intelligence, and particularly relates to a commodity recommendation method, device and equipment and a storage medium, and the method comprises the steps: recognizing the data type of interaction information between a user and a commodity, selecting a corresponding commodity similarity algorithm according to the data type, and carrying out the commodity similarity calculation, the data type comprises a Boolean vector and a non-Boolean vector, and carrying out standardization processing on the calculated commodity similarity result, wherein the data type comprises a Boolean vector and a non-Boolean vector; according to the data type, selecting a corresponding user similarity algorithm to carry out user similarity calculation, and carrying out standardization processing on the user similarity; according to the commodity similarity and the user similarity, recommendation factors between each user and the commodity are calculated and sorted, N most relevant commodities are added into the corresponding user recommendation list according to the recommendation factors, and N is the capacity of the recommendation list. According to the invention, the accuracy of commodity recommendation to the user is improved.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, and in particular, to a product recommendation method, device, device and storage medium. Background technique [0002] In recent years, with the rapid development of Internet technology, various types of data on the network have been expanding, and personalized services to users have gradually become more important. For this reason, various recommendation algorithms have emerged. Collaborative filtering algorithm is the most commonly used, most influential, and most widely used algorithm in recommender systems. By calculating the similarity between users or between products, it can screen information and recommend products for users. It can realize personalized recommendation, and does not need to analyze the characteristics of the product itself at runtime, but relies on the interaction between the product and the user. Collaborative filtering algorithms are divided int...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06G06K9/62
CPCG06Q30/0631G06F18/22
Inventor 雷正涛陈娇娇杨华胜
Owner 华润数字科技有限公司