Method and system for recommending mobile video based on flow analysis and user behavior analysis

A behavior analysis, mobile video technology, applied in selective content distribution, special data processing applications, instruments, etc., can solve the problem of high cost of streaming media traffic, solve the problem of excessive traffic consumption, reduce network load, and reduce video traffic loss Effect

Active Publication Date: 2013-04-17
CHINA YOUKE COMM TECH
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AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a mobile video recommendation method based on traffic analysis and user behavior analysis, which can dynamically change the video recommendation strategy according to user traffic usage habits and video-on-demand behavi...

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  • Method and system for recommending mobile video based on flow analysis and user behavior analysis
  • Method and system for recommending mobile video based on flow analysis and user behavior analysis
  • Method and system for recommending mobile video based on flow analysis and user behavior analysis

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Embodiment Construction

[0038] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0039] Such as figure 1 As shown, the present embodiment provides a mobile video recommendation method based on traffic analysis and user behavior analysis, characterized in that:

[0040] Step S01: using a crawler to capture video sources from major video sites by simulating the behavior of users browsing the sites;

[0041]Step S02: Extract the meta information of the video;

[0042] Step S03: After the meta information is weighted and intelligently processed, an index is established, and the index is stored and managed in a unified manner;

[0043] Step S04: The mobile terminal collects data on the size, time period, video classification and video length of the user's viewing video traffic;

[0044] Step S05: Generate the user video recommendation strategy according to the data collected by the mobile terminal, and update and save the user video r...

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Abstract

The invention relates to a method and a system for recommending a mobile video based on flow analysis and user behavior analysis. The method comprises the following steps of: capturing a video source from major video stations by simulating a station browsing behavior of a user by using a crawler; extracting the meta information of a video; intelligently weighting the meta information, and establishing an index; generating a user video recommendation policy according to data acquired by a mobile terminal; and when the user performs on-demand operation, transcoding a user video into an optimum video code stream according to a reported bandwidth applied by the mobile terminal in the user video recommendation policy, and providing the video code stream for the user for watching. The invention has the advantages that the optimum video code stream can be obtained by real-time transcoding according to the flow using habit of the user, a dynamic change video recommendation policy of a video on-demand behavior and the current customization flow package of the user, and then provided for the user for watching, so the problem of over-high flow cost for watching stream media by the user in the prior art is solved to a certain extent, and user experience is improved.

Description

technical field [0001] The invention relates to mobile video recommendation technology, in particular to a mobile video recommendation method and system based on traffic analysis and user behavior analysis. Background technique [0002] The existing traffic monitoring technology is traffic analysis, which is to monitor network traffic in real time. When the network is busy, it adopts changing the monitoring video resolution and frame extraction to reduce the bit rate of watching video, and minimize the consumption of network equipment resources (traffic ). When the network is busy, the definition of the video can be reasonably reduced to improve the network traffic. When the network is idle, it can be watched with a higher definition and better video viewing quality. [0003] Video recommendation technology (user behavior analysis) to establish a user model is the basis for personalized recommendation. Video recommendation technology is mainly to carry out research on vide...

Claims

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Application Information

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IPC IPC(8): H04N21/25H04N21/24H04N21/234G06F17/30
Inventor 江奕华陈宓蔡晓东
Owner CHINA YOUKE COMM TECH
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