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Video recommendation method, target service providing end, service calling end and system

A video recommendation and target service technology, applied in the field of video recommendation, can solve the problems of high delay in recommended video and low ability to process video

Active Publication Date: 2020-09-18
BEIJING SOHU NEW MEDIA INFORMATION TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the embodiment of the present invention provides a video recommendation method, a target service provider, a service caller and a system to solve the problems of low video processing capability and high delay of recommended video existing in current video recommendation methods.

Method used

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  • Video recommendation method, target service providing end, service calling end and system
  • Video recommendation method, target service providing end, service calling end and system
  • Video recommendation method, target service providing end, service calling end and system

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Embodiment Construction

[0045] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0046] In this application, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus comprising a set of elements includes not only those elements, but also includes none. other elements specifically listed, or also include elements inherent in such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "com...

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PUM

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Abstract

The invention provides a video recommendation method, a target service providing end, a service calling end and a system. The method comprises the steps that the service calling end obtains a serviceend instance list, and determines the target service providing end from the service end instance list according to a preset load balancing strategy; and the service calling end sends the user id of the to-be-processed user and the video ids of the plurality of to-be-recommended videos to the target service providing end; the target service providing end obtains user features according to the userid and obtains video features according to the video id, processes the user features and the plurality of video features by using a preset video recommendation model to obtain predicted click rates ofthe plurality of to-be-recommended videos, and feeds back the predicted click rates of the plurality of to-be-recommended videos to the service calling end. According to the invention, the pluralityof service providers are arranged, and the corresponding target service provider is selected for video recommendation processing by using the load balancing strategy, so that the video processing capability is improved, and the delay of recommended videos is reduced.

Description

technical field [0001] The invention relates to the technical field of video recommendation, in particular to a video recommendation method, a target service provider, a service caller and a system. Background technique [0002] With the development of the Internet, more and more video software appears in the application market. When using the video software, the corresponding video will be recommended to the user according to the user characteristics of the user and the video characteristics of the video. [0003] The current method of video recommendation is: combining user characteristics and video characteristics, using a machine learning model to predict the click-through rate of the video, and recommending videos based on the predicted click-through rate. However, as the number of videos increases and the length of video features becomes longer, it takes a long time to process videos when recommending videos to users, and cannot handle a large number of videos. The ab...

Claims

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Application Information

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IPC IPC(8): G06F9/50G06F16/71G06F16/783G06N20/00
CPCG06F9/505G06F16/71G06F16/783G06N20/00
Inventor 余关祥王蕾
Owner BEIJING SOHU NEW MEDIA INFORMATION TECH