Recommender Systems for E-Commerce: Challenges and Opportunities

Robert Driskill and John Riedl

Recommender systems are an AI technology that has become an essential part of business for many E-commerce sites. They serve many types of E-commerce applications, from direct product recommendation for an individual to helping someone find a gift for a third party. In this paper, we provide a brief overview of how recommender systems are being used in E-commerce today, and analyze four key challenges for recommender systems in the future: hybrid data, predictable recommendations, scalability, and incorporation of content. If recommender systems are able to surmount these challenges, they have the potential to become an essential component of doing business in E-commerce.

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