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Resource recommendation method and device, computing equipment and storage medium

A recommendation method and technology for a recommendation device, which are applied in computing, instrumentation, electrical and digital data processing, etc., can solve problems such as singleness of recommended resources, inability to guarantee high-scoring optimal solutions, and feature extraction of multimedia resource content, etc. The effect of the degree of personalization

Inactive Publication Date: 2018-06-08
ALIBABA (CHINA) CO LTD
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AI Technical Summary

Problems solved by technology

Its shortcoming lies in the singleness of recommended resources and the problem of extracting content features of multimedia resources, so this technology is mostly used in the recommendation of web resources
However, in resource personalization scenarios with high scores as the goal, traditional collaborative filtering recommendation techniques define the similarity between items through cosine correlation coefficients, which cannot guarantee the optimal solution for high scores

Method used

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  • Resource recommendation method and device, computing equipment and storage medium
  • Resource recommendation method and device, computing equipment and storage medium
  • Resource recommendation method and device, computing equipment and storage medium

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Embodiment Construction

[0014] Preferred embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although preferred embodiments of the invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

[0015] Before the technical solution of the present invention is described in detail, firstly, the terms mentioned in the present invention are properly explained. The "resources" mentioned herein refer to software components or hardware mechanisms that enable computers or processors or other function execution devices to perform specific functions, including multimedia (such as audio, video, pictures, etc.), documents, applications and Other online web resour...

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Abstract

The invention discloses a resource recommendation method and device, computing equipment and a storage medium. The resource recommendation method includes the steps that a data model for resource recommendation is trained by using resources adopted by a user, a scoring model of the user for to-be-recommended resources is obtained; the scoring of the user for the to-be-recommended resources is calculated based on the scoring model; the to-be-recommended resources are sorted according to scoring orders from high to low; and the predetermined amount of resources sorting highest are recommended tothe user. The resource recommendation method and device based on a relief network is used, the maximum success rate of the recommended resource sets adopted by the user is ensured, and accordingly the individuation degree of the recommendation result is improved.

Description

technical field [0001] The present invention relates to the technical field of resource recommendation, in particular to a method and device for resource recommendation based on a belief network, a computing device and a storage medium. Background technique [0002] With the development of Internet technology, the amount of information on the Internet is increasing day by day. Facing the massive amount of information, it becomes very difficult for users to quickly search for the information they need. Resource recommendation technology is an important means of information filtering, which can automatically search for information that users are interested in through information filtering, so as to provide users with effective personalized services. For example, during the operation of the app store, there are some scenarios where it is necessary to recommend a batch of apps based on the user's hobbies, such as "guess you like it". [0003] Existing resource recommendation t...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06N5/02
CPCG06N5/02G06F16/9535
Inventor 潘岸腾
Owner ALIBABA (CHINA) CO LTD
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