Difference between revisions of "Context-aware recommendation"
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== Relevant Challenges and Workshops == | == Relevant Challenges and Workshops == | ||
* [[2010 Challenge on Context-aware Movie Recommendation|2010]] and [[2011 Challenge on Context-aware Movie Recommendation]] | * [[2010 Challenge on Context-aware Movie Recommendation|2010]] and [[2011 Challenge on Context-aware Movie Recommendation]] | ||
| − | * [[Workshop on Context-Aware Recommender Systems]] (CARS) | + | * [[http://cars-workshop.org/ Workshop on Context-Aware Recommender Systems]] (CARS) |
* [[Workshop on Context-awareness in Retrieval and Recommendation]] (CaRR 2011) | * [[Workshop on Context-awareness in Retrieval and Recommendation]] (CaRR 2011) | ||
Revision as of 17:42, 20 August 2012
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
