Parsimonious and Adaptive Contextual Information Acquisition in Recommender Systems

IntRS@RecSys, pp. 2-8, 2015.

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Abstract:

Context-Aware Recommender System (CARS) models are trained on datasets of context-dependent user preferences (ratings and context information). Since the number of context-dependent preferences increases exponentially with the number of contextual factors, and certain contextual information is still hard to acquire automatically (e.g., th...More

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