A novel interesting recommendation system based on tags mining

With the rapid growth of social network on Internet, many people can make friends through smartphone easily. But when young guys use smart phone to browse web pages which has huge content to display, they can hardly choose what they really like unless spending much time for limited input capability. This paper designs an interesting recommendation system to recommend something or someone to the people who login to our website. With Recommendation system people can easily found something they wanted from large data with little input. This character is very important to smartphone whose input capability is poor. Recommendation algorithm in the paper is based on the tags mining through Baidu encyclopedia database and Sina microblogging. When two people have interesting with high similar degree, we recommend one to the other. Experiment shows the recommendation algorithm in the paper has good precision.