Collaborative filtering is a general technique for exploiting the preference patterns of a group of users to predict the utility of items for a particular user. Three different co...
Collaborative filtering requires a centralized rating database. However, within a peer-to-peer network such a centralized database is not readily available. In this paper, we pro...
Jun Wang, Johan A. Pouwelse, Reginald L. Lagendijk...
Links between web sites can be seen as evidence of a type of emergent collaboration among web site authors. We report here on an empirical investigation into emergent collaboratio...
Rapid growth in the amount of data available on social networking sites has made information retrieval increasingly challenging for users. In this paper, we propose a collaborativ...
Collaborative Filtering systems suggest items to a user because it is highly rated by some other user with similar tastes. Although these systems are achieving great success on we...