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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Hybrid Solution of the Cold-Start Problem in Context-Aware Recommender Systems
verfasst von : Matthias Braunhofer
Erschienen in: User Modeling, Adaptation, and Personalization
Verlag: Springer International Publishing
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A challenge of Context-Aware Recommender Systems (CARSs) is the cold-start problem, i.e., the usual poor recommendation of new items to new users in new contextual situations. In this research, we aim at solving this problem by developing a switching hybrid CARS, which exploits different context-aware recommendation techniques, each of which has its own strengths and weaknesses, and switches between these techniques depending on the current recommendation situation (i.e., new user, new item and/or new context).