Personalized Recommendation Of Social Network

With the rapid development of the Internet, online information resources have come into explosive growth stage. The development of the Internet brings in people much convenient, but at the same time, it also caused some problems. So that it is difficult for people to find the information they needed on the massive amounts of data. The search engine can’t meet the increasing information demand. So that, personalized recommendation system has obtained a rapid development.In recent years, social network websites became more and more popular. However, the increased users of microblog lead to the information expanded rapidly. So we need personalized recommendation system of microblog. At the same time, some company realized the importance of microblog, they want a customer service system of microblog.The main research contents and working are listed below:1) Research the personalized recommendation related algorithms and their advantages, disadvantages, application scene.2) Applied the personalized recommendation algorithm which based on the influence and text similarity to microblog. Do some experiments on the real microblog data.3) Designed a personalized recommendation system of microblog which used the algorithm we proposed.4) Participated in the work that designed and developed the customer service system of microblog. It can help the staff of customer service to process microblog tasks more convenient, and monitoring the company related information, So they can process the tasks which belong to powerful user.