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A channel-based recommendation method, device, and storage medium

A recommendation method and channel technology, applied in the field of big data processing, can solve problems such as difficulty, TV program recommendation method is not suitable for TV channel recommendation scenarios, etc., and achieve the effect of improving user experience

Active Publication Date: 2021-04-27
SHANDONG UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Channel recommendation refers to recommending TV channels that users are interested in; however, TV channels will broadcast different video programs at different time periods, and the distribution of program content is more extensive, so channel recommendation is more difficult than program content recommendation, and the recommendation for TV programs The method is also not suitable for the recommendation scenario for TV channels

Method used

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  • A channel-based recommendation method, device, and storage medium
  • A channel-based recommendation method, device, and storage medium
  • A channel-based recommendation method, device, and storage medium

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Embodiment Construction

[0058] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0059] In some processes described in the specification and claims of the present invention and the above-mentioned drawings, a plurality of operations appearing in a specific order are contained, but it should be clearly understood that these operations may not be performed in the order in which they appear herein Execution or parallel execution, the serial numbers of the operations, such as 101, 102, etc., are only used to distinguish different operations, and the serial numbers themselves do not represent any execution order. Additionally, these processes can include more or fewer operations, and these operations can be performed sequentially or in parallel. It should ...

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Abstract

The embodiment of the present application discloses a channel-based recommendation method, device, and storage medium. The method includes: obtaining the period for at least one channel based on the acquired playback history data for the channel within at least one preset statistical period The feature model of the periodic playback video; based on the obtained viewing history data for the target user in at least one preset statistical period, the periodic video viewing feature model for the target user is obtained; the periodic playback video feature model for at least one channel The video feature distribution data of the video is matched with the video feature distribution data of the periodic viewing video feature model, and the recommendation data for the target user is obtained based on the matching result. In this way, personalized recommendations for users are realized on the basis of fully considering the periodic characteristics of video programs played by channels and watched by users.

Description

technical field [0001] The present invention relates to the field of big data processing, and more specifically, to a channel-based recommendation method, device, and storage medium. Background technique [0002] Channel recommendation refers to recommending TV channels that users are interested in; however, TV channels will broadcast different video programs at different time periods, and the distribution of program content is more extensive, so channel recommendation is more difficult than program content recommendation, and the recommendation for TV programs The method is also not applicable to the recommendation scenario for TV channels. Contents of the invention [0003] In view of the above problems, the present invention proposes a channel-based recommendation method, device, and storage medium. In this way, on the basis of fully considering the periodic characteristics of channel broadcast video programs and users watching video programs, personalized recommendatio...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N21/25H04N21/258H04N21/466
CPCH04N21/251H04N21/25891H04N21/4668
Inventor 倪维健刘彤曾庆田邵文倩
Owner SHANDONG UNIV OF SCI & TECH