Research and development of recommender systems has been a vibrant field for over a decade, having produced proven methods for "preference-aware" computing. Recommenders use community opinion histories to help users identify interesting items from a considerably large search space (e.g., inventory from Amazon [7], movies from Netflix [9]). Personalization, recommendation, and the "human side" of data-centric applications are also becoming important topics in the data management community [3].
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