Abstract:

Analyzing Web 3.0’s content, we know it is necessary to solve personalized information need, when we face numerous volumes of information. At present, it is only to study from 3 aspects: collaborative filtering、content analysis、associated rules，and two sides based on the user and on the goods, but it based on the individual records of history, or similar to record history of the user to dig the information,so it is necessary to base on user groups,and the balance of power of singer user information and user groups information is this new perspective. 

Key words: Web 3.0, Information recommendation, Personalized, User profile, Social network analysis