Method and system for recommending video traffic through using support vector machine

A technology of support vector machine and video recommendation, which is applied in the computer field to reduce network load, optimize service quality, and reduce traffic load increase.

Inactive Publication Date: 2018-11-16
广东互通宽带网络服务有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For example, image classification and speech recognition are suitable for using neural network learning models, but how to realize the research on the attributes of video objects on the client side, and how to implement a method of video traffic push with support vector machines has not yet been well realized. The present invention researches and realizes based on the existing network architecture

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  • Method and system for recommending video traffic through using support vector machine
  • Method and system for recommending video traffic through using support vector machine

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Embodiment Construction

[0044] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0045] The method for recommending video traffic using a support vector machine according to the present invention includes: acquiring video attribute data of each user terminal based on crawler technology, and the video attribute data includes: video loading page URI, total number of video visits, video access weighted score Value, video title, number of hot words, video type, total number of video comments, overall video views, album to which the video belongs, vide...

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Abstract

The invention discloses a method and a system for recommending video traffic through using a support vector machine, wherein the method comprises the following steps: acquiring video attribute data ofeach user side through a crawler technology; performing data cleansing and processing for the video attribute data based on word segmentation technology; based on the support vector machine, predicting a video object, which a user likes, for the video attribute data subjected to data cleansing and processing; and sending the video object which the user likes to a caching unit of the user side based on a video traffic strategy. By implementation of the method and the system provided by the invention, pushing of the video data needed for the user side is realized, access of the user can be accelerated, and outward bandwidth traffic of a local network is saved.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method and system for recommending video traffic using a support vector machine. Background technique [0002] With the development of computer software, Internet, and data storage technology, the connection between computer sub-disciplines and technology is getting closer and closer. Today's computer software has accumulated a large amount of data by virtue of the advantages of the Internet, and advanced database technology is becoming more and more mature, supporting the storage of large amounts of data, and efficient retrieval and processing of data. This lays the foundation for a branch of artificial intelligence called machine learning. Machine learning finds certain potential rules or methods by counting a large amount of accumulated data, and is widely used in various computer data mining fields, such as shopping behavior analysis, social behavior analysis, financial ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N21/231H04N21/234H04N21/24H04N21/442H04N21/45H04N21/466G06F17/30
CPCH04N21/23106H04N21/23406H04N21/23418H04N21/2402H04N21/44204H04N21/4532H04N21/4668
Inventor 刘宇
Owner 广东互通宽带网络服务有限公司
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