Application of hybrid recommendation enables overcoming disadvantages of the basic recommendation methods: demographic, collaborative and content-based. In this paper the two cons...
Providing justification to a recommendation gives credibility to a recommender system. Some recommender systems (Amazon.com etc.) try to explain their recommendations, in an eff...
A major challenge in building recommender systems is organizing the recommendation space since, the underlying data organization scheme has a significant impact on the overall pe...
Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...
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...