A Contextual Modeling Approach to Context-Aware Recommender Systems

Methods for generating context-aware recommendations were classified into the pre-filtering, post-filtering and contextual modeling approaches. This paper proposes a novel type of contextual modeling (CM) based on the contextual neighbors approach and introduces four specific contextual neighbors methods. It compares these four types of contextual neighbors techniques to determine the best-performing alternative among them. Then it compares this best-of-breed method with the contextual pre-filtering, post-filtering and un-contextual methods to determine how well the CM approach compares with other context-aware recommendation techniques