Intelligent traffic caching prediction method and system for support vector machine (SVM)

Abstract

The invention discloses an intelligent traffic caching prediction method and system for a support vector machine (SVM). The method comprises the following steps: acquiring video attribute data of clients based on the crawler technology; carrying out data sorting and processing on the video attribute data based on the word segmentation technology; carrying out prediction analysis on the video attribute data subjected to the data sorting and processing based on the SVM; and arranging lists of recommended videos favored by the clients based on prediction analysis results, pushing the corresponding lists of the recommended videos to the clients, and caching corresponding video contents based on the lists of the recommended videos. The method and system provided by the invention has the advantages that the video attribute data of the clients is acquired through the crawler technology, and word segmentation processing is then carried out on the video attribute data, so that the SVM can achieve traffic prediction, and buffered contents can be pushed for video data required by the clients, which can accelerate user accesses and reduce outward bandwidth traffics of a local network.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method and system for intelligent traffic cache prediction by 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, fin...

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

Images