Personalized Recommendation of Web Resources Based on Topic Clustering

The PRWRTC(personalized recommendations of Web resource based on Topic clustering) algorithm is proposed in this paper. The Web resources based on the theme of Web resource which can improve the accuracy of Web resources clustering, and can enhance the accuracy of recommended Web resources. On the basis of the user's browsing behavior, the algonithm that gets users' preferences in real-time is given out. According to the dynamic evolution of user preferences, the concept of efficiency is put into the algorithm, and the dynamic recommendation of Web resources realized. And experiments verify the effectiveness of the algorithm.