InCarMusic: Context-Aware Music Recommendations in a Car

摘要: Context aware recommender systems (CARS) adapt to the specific situation in which recommended item will be consumed. So, for instance, music recommendations while user is traveling by car should take into account current traffic condition or driver’s mood. This requires acquisition of ratings items several alternative contextual situations, extract from this data true dependency on situation. In paper, order simplify in-context rating process, we consider individual perceptions users about influence context their decisions. We have elaborated a system design methodology where assume that can requested judge: a) if factor (e.g., state) relevant decision making task, and b) how they would rate an assuming certain chaotic) holds. Using these evaluations show it possible build effective context-aware mobile system.