We propose a hybridization of collaborative filtering and content based recommendation system. Attributes used for content based recommendations are assigned weights depending on ...
The social impact from the World Wide Web cannot be underestimated, but technologies used to build the Web are also revolutionizing the sharing of business and government informat...
Ronald Fagin, Ravi Kumar, Kevin S. McCurley, Jasmi...
We present and evaluate various content-based recommendation models that make use of user and item profiles defined in terms of weighted lists of social tags. The studied approach...
The so-called social Web has helped to change the very nature of the Internet by emphasising the role of our online experiences as new forms of content and service knowledge. User...
Pierre-Antoine Champin, Peter Briggs, Maurice Coyl...
Collaborative tagging used in online social content systems is naturally characterized by many synonyms, causing low precision retrieval. We propose a mechanism based on user pref...
Maarten Clements, Arjen P. de Vries, Marcel J. T. ...