Recommender Systems
88 Citations•2007•
B. Mobasher
Künstliche Intell.
A brief characterization of the recommendation problem, in general, is provided, and various approaches used for recommendation generation are summarized.
Abstract
Recommender systems have become an important part users' everyday interactions with Web based applications, particularly those driving e-commerce. Businesses have come to realize the potential of these personalized and adap-tive systems in order to increase sales and to retain customers. Likewise, Web users have come to rely on such systems to help them in more efficiently finding items of interest in large information spaces. We provide a brief characterization of the recommendation problem, in general, and summarize various approaches used for recommendation generation.