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Multimedia data recommendation method and device, server and storage medium

A multimedia data and data technology, applied in the Internet field, can solve the problems of lack of pertinence and poor recommendation effectiveness, and achieve the effect of high effectiveness and high reliability

Pending Publication Date: 2019-11-12
深圳市雅阅科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The above method of recommending multimedia data is not targeted. During the recommendation process, some users may be interested in popular multimedia data, and some users may not be interested in popular multimedia data, and the recommendation effectiveness is poor.

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  • Multimedia data recommendation method and device, server and storage medium
  • Multimedia data recommendation method and device, server and storage medium
  • Multimedia data recommendation method and device, server and storage medium

Examples

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Embodiment Construction

[0065] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present disclosure as recited in the appended claims.

[0066] This disclosure relates to the technical field of artificial intelligence (AI). Artificial intelligence is a theory 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. Methods, techniques and application systems. In ot...

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Abstract

The invention relates to a multimedia data recommendation method and device, a server and a storage medium, and belongs to the technical field of the Internet. The method comprises the following steps: acquiring account information of a target account, and acquiring attribute information of a plurality of multimedia data; for each multimedia data, inputting the attribute information and the account information of the multimedia data into a pre-trained account behavior prediction network model corresponding to a plurality of behavior types, outputting the behavior occurrence probability of thetarget account for different behavior types of the multimedia data, inputting the behavior occurrence probability of the target account for different behavior types of the multimedia data into a pre-trained interestingness evaluation network model, and outputting the interestingness of the target account for the multimedia data; sorting the multimedia data according to the sequence of the interestingness from high to low, and determining a preset number of target multimedia data sorted in the front; and sending the target multimedia data to a terminal logged in by the target account. By adopting the method, the recommendation effectiveness can be improved.

Description

technical field [0001] The present disclosure relates to the technical field of the Internet, in particular to a method, device, server and storage medium for recommending multimedia data. Background technique [0002] The server can recommend multimedia data such as news and short videos to the user through the terminal. If the user is interested in any multimedia data, the user is likely to have different behaviors for the multimedia data. For example, the user may click to view the multimedia data, and may further comment, like or share the multimedia data. [0003] The server usually recommends popular multimedia data to the user, and the popular multimedia data may be multimedia data with a high number of hits. [0004] In the process of realizing the present disclosure, the inventors found at least the following problems: [0005] The above method of recommending multimedia data is not targeted. During the recommendation process, some users may be interested in popul...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06F16/435
CPCG06F16/9535G06F16/435
Inventor 徐远东戴蔚群陈凯夏锋
Owner 深圳市雅阅科技有限公司
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