Dynamic video recommendation device

A recommendation device and video recommendation technology, applied in the field of video mining and analysis of social media, can solve the problems of inability to capture users' dynamic interests, reducing the accuracy of video recommendation, and inability to accurately describe user interests, etc.

Active Publication Date: 2018-04-13
INST OF AUTOMATION CHINESE ACAD OF SCI
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AI Technical Summary

Problems solved by technology

However, in the case of rapid updates of online videos, the user's interest will continue to drift dynamically, and the current video recommendation algorithm cannot capt

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Embodiment Construction

[0058] Preferred embodiments of the present invention are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention, and are not intended to limit the protection scope of the present invention.

[0059] In this embodiment, the video dynamic recommendation device may include a video recommendation model, and the video recommendation model may obtain the recommended video at the current moment according to the video information at the historical moment. Specifically, the video recommendation model can acquire multiple recommended videos at the current moment based on video information at multiple historical moments. For example, the video recommendation model obtains 5 recommended videos based on video information at 5 historical moments.

[0060] See attached figure 1 , figure 1 The structure of the video recommendation model in this...

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Abstract

The invention relates to the technical field of video mining and analysis of social media and specifically provides a dynamic video recommendation device so that problems of depicting the dynamic interest of the user and carrying out video recommendation accurately can be solved. The dynamic video recommendation device comprises a video recommendation model that is capable of obtaining a recommended video at a current time according to video information of one or more historical times. To be specific, the video recommendation model consists of a semantic learning unit, a user behavior analysisunit, a recurrent neural network, a user relevance mining unit, and a model training unit. With the units, video semantic information, user interest information, and correlation degrees of differentuser interests are dug out fully and video recommendation is carried out based on the information, so that dynamic description of video watching preferences of the users is realized, the video recommendation accuracy is improved, and the accuracy of on-line dynamic video recommendation of the internet network is enhanced.

Description

technical field [0001] The invention relates to the technical field of video mining and analysis of social media, in particular to a video dynamic recommendation device. Background technique [0002] The popularization of the Internet has driven the comprehensive development of informatization and digitalization, and online video has also developed rapidly. At present, in order to ensure that Internet users can quickly obtain the video information they are interested in from a large number of online videos, video recommendation algorithms can be used to characterize user interests and then realize video recommendation. However, in the case of rapid updates of online videos, the user's interest will continue to drift dynamically, and the current video recommendation algorithm cannot capture the dynamic interest of the user over time, so it cannot accurately describe the user's interest, which in turn reduces the effectiveness of video recommendation. accuracy. Contents of ...

Claims

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Application Information

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IPC IPC(8): H04N21/25H04N21/258H04N21/466H04N21/45G06F17/30G06N3/08
CPCG06F16/735G06N3/08H04N21/251H04N21/25891H04N21/4532H04N21/4662H04N21/4666H04N21/4667H04N21/4668
Inventor 徐常胜张天柱高君宇
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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