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Object recommendation method and device based on recommendation model

A model and object technology, applied in the field of object recommendation methods and devices based on recommendation models, can solve problems such as no effective solutions, and achieve the effect of improving accuracy

Pending Publication Date: 2020-09-25
TENCENT CLOUD COMPUTING BEIJING CO LTD
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AI Technical Summary

Problems solved by technology

[0004] However, there is no effective solution for how to efficiently and accurately perform object recommendation in related technologies

Method used

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  • Object recommendation method and device based on recommendation model
  • Object recommendation method and device based on recommendation model
  • Object recommendation method and device based on recommendation model

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Embodiment Construction

[0069] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with the accompanying drawings, and the described embodiments should not be considered as limiting the present invention, and those of ordinary skill in the art do not make any All other embodiments obtained under the premise of creative labor belong to the protection scope of the present invention.

[0070] In the following description, references to "some embodiments" describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or a different subset of all possible embodiments, and Can be combined with each other without conflict.

[0071] In the following description, the term "first\second\third..." is only used to distinguish similar objects, and does not represent a specific ordering of objects. Understandably, "first\second\third... Wh...

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Abstract

The invention provides an object recommendation method and device based on a recommendation model, and the method comprises the steps: respectively carrying out the feature extraction of the user dataof a to-be-recommended user and the object data of a to-be-recommended object through a feature extraction model, and obtaining the corresponding features of the to-be-recommended user and features of the to-be-recommended object; performing depth feature extraction on the combined features of the to-be-recommended user features and the to-be-recommended object features through the depth featuremodel to obtain corresponding depth features; performing frequent sequence pattern mining on the features of the to-be-recommended user through a pattern mining model to obtain weighted features corresponding to the frequent sequence patterns of the to-be-recommended user; fusing the depth features and the weighted features through a prediction model to obtain fusion features corresponding to theto-be-recommended user, and performing conversion rate prediction based on the fusion features to obtain a prediction result; and when the prediction result represents that the conversion rate value of the to-be-recommended user exceeds a probability threshold, recommending the to-be-recommended object to the to-be-recommended user.

Description

technical field [0001] The invention relates to natural language processing technology of artificial intelligence technology, in particular to an object recommendation method and device based on a recommendation model. Background technique [0002] Natural language processing (Nature Language Processing, NLP) is an important direction in the field of artificial intelligence, which can realize effective communication between humans and computers in natural language, usually including text processing, semantic understanding, machine translation and other technologies. The recommendation system is one of the important applications in the field of natural language processing. It can automatically contact users and recommended objects, help users find information that interests them in an information overload environment, and push information to users who are interested in them. . [0003] With the rise of online consumption patterns and the rapid development of e-commerce platf...

Claims

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Application Information

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IPC IPC(8): G06Q30/06G06F16/9535
CPCG06Q30/0631G06F16/9535
Inventor 刘志煌
Owner TENCENT CLOUD COMPUTING BEIJING CO LTD
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