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

Understand

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-start problem.
• Both content information (e.g.