Addressing the user cold start with cross-domain collaborative filtering: exploiting item metadata in matrix factorization

Providing relevant personalized recommendations for new users is one of the major challenges in recommender systems. This problem, known as the user cold start has been approached from different perspectives. In particular, cross-domain recommendation methods exploit data from source domains to address the lack of user preferences in a ta...More