A Web Prediction Pattern Recommendation Algorithm

Recommender system can predict and recommend end users their probably most interesting commodities after abstracting their interest and preference through their browsing information. In this paper, we accordingly abstract user preference to predict the userspsila coming access Web page to prefetch them. Through an optimized clustering and sequence mining algorithm, a recommender system is realized to predict user preference Web page. Experiments prove the precision and applicability of system.