Collaborative filtering identifies information interest of a particular user based on the information provided by other similar users. The memory-based approaches for collaborativ...
Collaborative filtering (CF) is valuable in e-commerce, and for direct recommendations for music, movies, news etc. But today's systems have several disadvantages, including ...
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...
Recommender systems based on user feedback rank items by aggregating users’ ratings in order to select those that are ranked highest. Ratings are usually aggregated using a weig...
Florent Garcin, Boi Faltings, Radu Jurca, Nadine J...
Memory-based approaches for collaborative filtering identify the similarity between two users by comparing their ratings on a set of items. In the past, the memory-based approache...