Context-aware recommendation

User preferences may differ with context (time of day, season, mood, device characteristics, location, options offered by the system etc.). A context-aware recommender system takes the context into account when computing suggestions.

Relevant Challenges and Workshops

• 2010 and 2011 Challenge on Context-aware Movie Recommendation
• Workshop on Context-Aware Recommender Systems (CARS)
• Workshop on Context-awareness in Retrieval and Recommendation (CaRR 2011)

Literature

• K. Cheverst, N. Davies, K. Mitchell: Developing a context-aware electronic tourist guide: some issues and experiences, 2000
• Gediminas Adomavicius, Alexander Tuzhilin: Context-aware recommender systems, RecSys 2008
• Shuang-Hong Yang, Bo Long, Alex Smola, Hongyuan Zha, Zhaohui Zheng: Collaborative Competitive Filtering: Learning Recommender using Context of User Choice, SIGIR 2011
• G. Adomavicius, B. Mobasher, F. Ricci, and A. Tuzhilin: Context-Aware Recommender Systems, AI Magazine, vol. 32, no. 3, 2011

External Links

• 1st Workshop on Context-Aware Recommender Systems
• 2nd Workshop on Context-Aware Recommender Systems
• 3rd Workshop on Context-Aware Recommender Systems
• 4th Workshop on Context-Aware Recommender Systems