Key Takeway

Recommendation systems on platforms such as Amazon or Netflix face a “cold-start” problem when there is little or no historical data or when large numbers of users and attributes make it hard to scale.  A model that extends collaborative filtering with demographic and item attributes and uses multi-armed bandit techniques to reveal consumer preferences can overcome these challenges.