Research And Implementation Of Network User Preference Trend Prediction System

The Internet is in the high speed development period in China,as the network users,Internet penetration increasing continuously improve,growing number of web sites and information on the spread of the Internet information explosion problem,wide coverage of information and level,from a certain Angle on increasing the difficulty of the user to obtain information from the Internet,search engine high usage illustrates the user needs to use external tools for information.Vast amounts of information,will be the line of sight of people in a small local at all times.There is an urgent need from overall and comprehensive point of view to understand public opinion.Based on the above problems,this paper,a thorough analysis of the business needs of the user preferences,functional requirements and technical feasibility.Decided to adopt the Java programming language,the J2 EE development platform,MyEclipse as development tools,Tomcat as the server,MySQL for database to realize network user preference trend prediction system.This system mainly divided into three parts,one is the collection of information,this system USES multithreading breadth-first web crawler access to the network to collect information.After the second is the analysis of information,access to information,to use Lucene indexing,keywords,and by using bayes classifier to a certain extent,forecast its developing trend.Three is an expression of public opinion,using the MVC pattern and the Struts framework,the message address,time,appears the frequency is at the front desk interface display.This paper implements a to analyze network public opinion for the purpose of network user preference trend prediction system,through the analysis of user preferences to promote the development of the subject development trend prediction technology is power.By improving the access of the Internet information,increase in the number of users,user groups to expand and appeared more new user needs,can facilitate users to more easily communicate,more quickly find the information you need,more accurate search you need to commodities,which provide help for the work and life.To improve the efficiency of Internet users search for information via the Internet,on the basis of information index,an analysis of the strong preference for information on Internet users for Internet users "customize" the personalized information service,and the successful application.