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Video recommendation method and apparatus

A video recommendation and video technology, applied in the field of video processing, can solve the problems that the recommendation results cannot meet the actual needs of users, the online recommendation results are inaccurate, and the source data is small, and achieves the effect of improving user experience, enriching data sources, and expanding types.

Active Publication Date: 2017-08-11
HUAWEI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0004] In the existing video recommendation method, the online recommendation process is to collect the effective behavior data of the user within the preset time for online recommendation, but if the user does not generate a certain amount of effective behavior data within the preset time, then the The source data of online recommendation is relatively small, which leads to inaccurate online recommendation results, and ultimately leads to the overall recommendation results not meeting the actual needs of users

Method used

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  • Video recommendation method and apparatus
  • Video recommendation method and apparatus
  • Video recommendation method and apparatus

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Embodiment Construction

[0047] Embodiments of the present invention provide a method and device for video recommendation, which can enrich data sources for online video recommendation and improve user experience. The following describes in detail with reference to the accompanying drawings and specific embodiments.

[0048] refer to figure 1 as shown, figure 1 It is a schematic diagram of the system architecture applied to the video recommendation method in the embodiment of the present invention.

[0049] In this system architecture, the personal user behavior collection module collects the personal behavior data of the current user (ie, the target user) through the terminal device. The action behavior of selecting a certain video and watching it can be used as a piece of behavior data, or the action behavior of the user selecting a certain video and viewing the details of the video can also be used as a piece of behavior data. After the terminal collects the behavior data of the target user, it ...

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Abstract

An embodiment of the present invention discloses a video recommendation method. The method comprises: firstly, acquiring label information of a target user; distributing the user into a target interest group according to the label information of the target user; then acquiring behavior data of the target user and target behavior data of an online user in the target interest group; and according to the behavior data of the target user and the target behavior data of the online user, performing online recommendation of a video. Therefore, when online video recommendation is performed, not only online behavior data of the target user is considered, but also the behavior data of the online user in the target interest group where the target user belongs to is combined, so that the data source of online video recommendation is enriched, the type of recommendation results is extended, and the result of video recommendation more satisfies the actual needs of the target user, and user experience is enhanced.

Description

technical field [0001] The present invention relates to the field of video processing, in particular to a method and device for video recommendation. Background technique [0002] In recent years, online video users have shown a steady growth trend. For the video content industry chain, this means that both the number of users and content will surge. The explosive growth of video content not only brings more choices to users, but also makes users fall into the dilemma of choice. Users urgently need terminal devices to provide them with video content in line with their own interests, so personalized video recommendation technology emerges as the times require. As a large number of video features are uploaded to the Internet every day, how to combine user interests and how to recommend videos that users may be interested in is a big challenge. Video personalized recommendation is to use video content information, user basic information, and user's long-term video preference...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/735
Inventor 严细辉周爱彬
Owner HUAWEI TECH CO LTD
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