In terms of the inherent detects in present information retrieval service, this paper proposed an approach to personalize recommendation based on desktop information extraction and introduced the algorithm to build the long-term user model based on desktop resources extraction, which provides information about the comprehensive interest preference of a user, and to establish the short-term user model based on working scenario information extraction, which serves as the basis to predict the user's current information need. The experiment result...