Addressing the Item Cold-start Problem by Attribute-driven Active Learning

Yu Zhu, Jinhao Lin, Shibi He +4

In recommender systems, cold-start issues are situations where no previous events, e.g. ratings, are known for certain users or items. In this paper, we focus on the item cold-star…