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Content recommendation method, device and equipment and storage medium

A content recommendation and content technology, applied in the fields of instrumentation, computing, electrical digital data processing, etc., can solve the problems of slow recommendation system recommendation speed and long time-consuming calculation of the recommendation model, so as to reduce the time-consuming scoring, reduce the task volume, The effect of improving efficiency

Active Publication Date: 2020-07-24
深圳市雅阅科技有限公司
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AI Technical Summary

Problems solved by technology

[0004] In the above-mentioned related technologies, when there are many features acquired, it will take a long time to calculate the score of the recommendation model, and the recommendation speed of the recommendation system is slow.

Method used

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

Examples

Experimental program
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Embodiment Construction

[0029] 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.

[0030] In the method provided in the embodiment of the present application, each step may be executed by a computer device, and the computer device refers to an electronic device capable of data calculation, processing and storage, such as a PC (Personal Computer, personal computer) or a server.

[0031] The technical solution provided by the embodiment of the present application implements content recommendation by means of machine learning technology in the field of AI (Artificial Intelligence, artificial intelligence), thereby reducing the time-consuming scoring, further reducing the time-consuming content recommendation, and improving the efficiency of content recommendation .

[0032] The above-mentioned artificial intellige...

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Abstract

The invention provides a content recommendation method, apparatus and device, and a storage medium, and relates to the technical field of AI. The method comprises the steps of obtaining a first recommendation request; obtaining candidate content corresponding to the first recommendation request through a first working thread; the candidate content is scored in parallel through n scoring threads, ascoring result corresponding to the first recommendation request is obtained, and n is an integer larger than 1; and performing content recommendation to the target user account through the second working thread according to the scoring result corresponding to the first recommendation request. Compared with the prior art, when more features are obtained, the recommendation model consumes longer time to calculate the score, and the recommendation speed of the recommendation system is slow. According to the technical scheme provided by the embodiment of the invention, the candidate content is scored in parallel through the plurality of scoring threads, so that the task load of executing scoring processing by a single thread is reduced, the scoring time consumption is reduced, and the content recommendation efficiency is improved.

Description

technical field [0001] The embodiments of the present application relate to the technical field of AI (Artificial Intelligence, artificial intelligence), and in particular to a content recommendation method, device, device, and storage medium. Background technique [0002] As a massive information screening system, the recommendation system is widely used in scenarios such as shopping recommendation, music recommendation, and news recommendation. [0003] In related technologies, taking news recommendation as an example, the recommendation of the recommendation system mainly includes the following steps: obtaining article features, user features, and cross features between articles and users; inputting the obtained series of features into the recommendation model, obtaining and For articles that match the user's characteristics, the score is usually used as the output of the recommendation model to measure the degree of matching between the article and the user's characteris...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06F16/335
CPCG06F16/9535G06F16/335
Inventor 何婷婷
Owner 深圳市雅阅科技有限公司
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