Including item characteristics in the probabilistic latent semantic analysis model for collaborative filtering
Martijn Kagie, Matthijs J. H. M. van der Loos, Michiel van Wezel · AI Communications · 2009
We propose a new hybrid recommender system that combines some advantages of collaborative and content-based recommender systems. While it uses ratings data of all users, as do collaborative recommender systems, it is also able to recommend new items