Up close and personalized: a marketing view of recommendation systems

Authors:
Michel Wedel;Roland T. Rust;Tuck Siong Chung
Affiliations:
University of Maryland, College Park, MD, USA;University of Maryland, College Park, MD, USA;College of Business, Singapore, Singapore
Venue:
Proceedings of the third ACM conference on Recommender systems
Year:
2009

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Abstract

Developments in the marketing literature on recommendation systems are reviewed and an illustration of an Adaptive Personalization System is provided in the context of music. This illustration reveals that Adaptive Personalization Systems have the potential to significantly increase the effectiveness of personal recommendations, and perform better than extant methods.