User Interest Modeling for P2P Document Sharing Systems Based on K-Medoids Clustering Algorithm
Chunxiu Qin, Zhimo Yang, Huailiang Liu · 2014
User interest modeling is an important way for P2P document sharing systems to improve the level of information service such as personalized information retrieval and document recommendation. Based on K-medoids clustering, the paper presents a method of user interest modeling for P2P document sharing systems. Staring from the perspective of the shared document, the proposed approach creates the initial user interest model with k-mediods clustering algorithm. Then, combining with the related results of user's historical queries, the initial user interest model is improved and complete user interest model is obtained.