The user's interest model is the core component in a personalized services system.Considering the impact of context information on user interests, this paper deeply studies the user behavior log data based on context information, and proposes a user interest modeling method based on context information.First, we get the user's context set by calculating the context similarity, and reduce the dimension of the "user-interest item-context" 3D model through the method of context pre-filtering.Second, user browsing content forms interest topic, and web page content forms interest keyword.Then a hierarchical vector space model is set up based on the user profile.The experimental result shows that the prediction error of user interest degree is controlled within 9%, which is effective.