Abstract: In order to solve the problem that obtaining effective information is difficult for users due to serious network information overload，a new method of network information recommendation is proposed． Firstly，a topic model for each user is built，the establishment of theme model which combines Newton cooling rate is to balance the effect of the time factor on the user interest． Then，collaborative filtering algorithm and content-based recommendation algorithm are used to meet the user's needs for information diversity and personalization． The experimental results show that the algorithm can effectively improve the accuracy and recall of recommendation，and the prediction of user preference effect is good． It is an effective recommendation method．

Key words: hybrid recommendation, collaborative filtering, network information recommendation, content-based recommendation