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Video recommendation method for display apparatus and display apparatus

A display device and video recommendation technology, applied in the field of data processing, can solve problems such as less video data, inaccurate recommendation, and inability to calculate similarity

Inactive Publication Date: 2016-01-20
HISENSE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a video recommendation method and a display device for a display device, which has solved the problem of inaccurate recommendation due to the lack of overlapping evaluation video data and the inability to calculate the similarity

Method used

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  • Video recommendation method for display apparatus and display apparatus
  • Video recommendation method for display apparatus and display apparatus
  • Video recommendation method for display apparatus and display apparatus

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Embodiment Construction

[0018] The technical solutions provided by the embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0019] The embodiment of the present invention provides a video recommendation method for a display device, such as figure 1 As shown, including the following operations:

[0020] Step 110: Determine an evaluation value threshold according to the obtained evaluation values ​​of each first video derived from the same evaluation subject; and determine the similarity between each second video and each first video according to the feature vector of the video. The second video is a video without an evaluation value derived from the evaluation subject.

[0021] Among them, the feature vector of the video reflects the hidden features of the video and can reflect the internal association between different videos.

[0022] In the embodiment of the present invention, there is no time sequence limitation between the step of determi...

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Abstract

The present invention discloses a video recommendation method for a display apparatus and the display apparatus. The method comprises: acquiring an evaluation value of each first video from a target evaluation subject, and determining an evaluation value threshold according to the evaluation value of each first video; determining the similarity between each second video and each first video according to a video feature vector, wherein the second video does not have the evaluation value from the target evaluation subject; predicting the evaluation value of each second video according to the similarity between each second video and each first video; and pushing the second videos having the evaluation values meeting a predetermined condition to the target evaluation subject. According to the technical scheme provided by embodiments of the present invention, the second videos interested by the target evaluation subject can be accurately pushed to the target evaluation subject on the basis of predicting the evaluation values of the second videos accurately, thereby improving the performance of a video recommendation system.

Description

Technical field [0001] The present invention relates to the field of data processing technology, and in particular to a video recommendation method and display device for a display device. Background technique [0002] With the development of the Internet, while the network provides users with more and more information and services, its structure has become more complex. Among the massive amounts of information on the network, it is more difficult for users to obtain what they need in time. The recommendation system came into being, taking the recommendation system of users recommending videos as an example, it can recommend videos for users according to their interests and hobbies (hereinafter referred to as preferences). Video recommendation system not only helps users find target videos, but also helps video websites effectively retain users, rebuild customer relationships, and increase click-through rates and user loyalty. [0003] Traditional personalized recommendation techn...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/9535
Inventor 王梦霜马军李海涛王勇进
Owner HISENSE
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