Incorporating contextual information in recommender systems using a multidimensional approach
ACM Transactions on Information Systems (TOIS)
From Web to Social Web: Discovering and Deploying User and Content Profiles
Context-awareness in recommender systems: research workshop and movie recommendation challenge
Proceedings of the fourth ACM conference on Recommender systems
Putting things in context: Challenge on Context-Aware Movie Recommendation
Proceedings of the Workshop on Context-Aware Movie Recommendation
Challenge on context-aware movie recommendation: CAMRa2011
Proceedings of the fifth ACM conference on Recommender systems
Context-aware movie recommendation based on signal processing and machine learning
Proceedings of the 2nd Challenge on Context-Aware Movie Recommendation
Group-aware prediction with exponential smoothing for collaborative filtering
Proceedings of the 2nd Challenge on Context-Aware Movie Recommendation
Informative household recommendation with feature-based matrix factorization
Proceedings of the 2nd Challenge on Context-Aware Movie Recommendation
SVD-based group recommendation approaches: an experimental study of Moviepilot
Proceedings of the 2nd Challenge on Context-Aware Movie Recommendation
Temporal rating habits: a valuable tool for rating discrimination
Proceedings of the 2nd Challenge on Context-Aware Movie Recommendation
Simple time-aware and social-aware user similarity for a KNN-based recommender system
Proceedings of the 2nd Challenge on Context-Aware Movie Recommendation
Identifying users from their rating patterns
Proceedings of the 2nd Challenge on Context-Aware Movie Recommendation
A heuristic approach to identifying the specific household member for a given rating
Proceedings of the 2nd Challenge on Context-Aware Movie Recommendation
Mining relational context-aware graph for rater identification
Proceedings of the 2nd Challenge on Context-Aware Movie Recommendation
Recommender systems challenge 2012
Proceedings of the sixth ACM conference on Recommender systems
Comparing context-aware recommender systems in terms of accuracy and diversity
User Modeling and User-Adapted Interaction
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The 2011 Challenge on Context-Aware Movie Recommendation (CAMRa2011) was held in conjunction with the Fifth ACM Conference on Recommender Systems (RecSys2011). The challenge focused on group-based recommendation for households, as well as identification of household members who had rated specific movies. The participants were provided with anonymized datasets from a real world online movie recommendation community and competed against each other for obtaining the highest recommendation accuracy. Over 45 teams from 23 countries participated in the challenge. Their participation was summarized by the nine papers accepted to the CAMRa2011 workshop. This paper presents an overview of the tracks and datasets of CAMRa2011.