Abstract. Many researchers have focused their efforts on developing collaborative recommender systems. It has been proved that the use of collaboration in such systems improves per...
This work addresses a particular kind of cross domain personalization task consisting of selecting simultaneously two items in two different domains and recommending them togethe...
The majority of recommender systems are designed to make recommendations for individual users. However, in some circumstances the items to be selected are not intended for persona...
Linas Baltrunas, Tadas Makcinskas, Francesco Ricci
Application of hybrid recommendation enables overcoming disadvantages of the basic recommendation methods: demographic, collaborative and content-based. In this paper the two cons...
We propose a novel sequential decision approach to modeling ordinal ratings in collaborative filtering problems. The rating process is assumed to start from the lowest level, eva...