A Novel Representation of User Profile in Document Recommendation System
Peng Zhao, Cai Qing-sheng · Computer Technology and Development · 2007
After analyzing the disadvantages of the user profile based on keywords vector in the existing document recommendation system,a novel representation of user profile based on clustering was proposed.The representation firstly clustered the documents into clusters.Because of the disadvantage of the traditional partitioned clustering algorithm,a novel document clustering algorithm based on complex networks feature was presented.Experimental results show the representation of user profile proposed can represent user multi-interests better and improves the performance of document recommendation system greatly.