Identifying and Utilizing Contextual Data in Hybrid Recommender Systems

摘要

Context-aware recommender systems are becoming a popular topic, still, there are many untouched aspects. In this paper, research involving context identification and the concepts related to hybrid and context-aware systems is presented. Furthermore, a conceptual architecture for a context-aware recommender system for movies and TV shows is introduced. The system consists of a number of processes for context identification and recommendation. Key contextual features are identified and used for the creation of several sets of recommendations, based on the predicted context. The main focus of the research presented here is the identification of context, which in turn is used for recommendation. The approach will be incorporated and evaluated in the recommendation engine of movie recommendation website Moviepilot.