A method and system for intelligent traffic buffer prediction by support vector machine

Abstract

The invention discloses a method and system for intelligent traffic cache prediction by a support vector machine. The method includes: obtaining video attribute data of each user end based on crawler technology; performing data sorting and processing on the video attribute data based on word segmentation technology; The support vector machine predicts and analyzes the results of the video attribute data after data sorting and processing; arranges the video recommendation list preferred by the user terminal based on the prediction analysis results, and pushes the corresponding video recommendation list to the user terminal, and based on the video recommendation The list caches the corresponding video content. By implementing the method and system provided by the present invention, it obtains the video attribute data of each user terminal through crawler technology, and then performs word segmentation processing for these video attribute data, so as to facilitate the support vector machine to realize traffic prediction and realize the video data push required by the user terminal Buffering content can speed up user access and save external bandwidth traffic of the local network.

Description

Technical field [0001] The present invention relates to the field of computer technology, and more particularly to a method and system for supporting vector machines for intelligent flow cache prediction. Background technique [0002] With the development of computer software, the Internet, data storage technology, the connection between computer sub-disciplines and technology is getting closer. Today's computer software has accumulated a lot of data with the advantages of the Internet, and advanced database technologies are increasingly mature, supporting a large amount of data store, support efficient retrieval data and processing data. This is a foundation for the branch of artificial intelligence - machine learning. Machine learning to find some potential rules or methods by statistically accumulated data, large-scale application to computer various data mining fields, such as shopping behavior analysis, social behavior analysis, financial data analysis, etc. When an applicat...

AI Technical Summary

Problems solved by technology

For example, image classification and speech recognition are suitable for using neural network learning models. However, how to realize the research on the attributes of video objects on the client side and realize a method of intelligent traffic prediction of 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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