Research And Design Of News Intelligent Recommendation And Subscribe System

In recent years, with the rapid development of the Internet, mobile market is growing rapidly, and will continue to maintain high growth in the coming years. Along with the surging tide of mobile Internet hit, to survival and development of enterprises must constantly change and innovation, and as a news subject for the operation of the Internet companies will seize the opportunity, need to continue to develop their potential and constantly meet the market, meet the reading needs of users. We need diversified development, product integration, and sustainable micro-innovation and improve user experience, working with cooperation partners in order to win greater market and work together to create a win-win situation.News of the system intelligent recommendation and subscription system development including Web site system at the front desk, back-end admin system and database. Site users can access them directly at the front desk, and user operation includes a subscription column, the query column, read, and management programs, background application system is for use by editors, main function module including new news, review news, press release, deletes news operation, back-end database is used to store data.This papers described has mobile Internet phone reading of development history and status, more angle full of detailed described and analysis paper by research of news intelligent recommended and the subscription system, articles from intelligent recommended and personality subscription news of function needs points starting, research has intelligent news recommended of several items key technology, including data acquisition and the pretreatment, data built die and using Bell leaves Republika principle for classification, to proposed has reasonable of algorithm, and new of analysis thought and achieved method, and developed has for website of effective of recommended algorithm. Data analysis the results of the final report can be seen intelligent recommendation was very obvious, can improve the user's access and consistency.