Ricardo: integrating R and Hadoop
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
TopRecs: Top-k algorithms for item-based collaborative filtering
Proceedings of the 14th International Conference on Extending Database Technology
Making interval-based clustering rank-aware
Proceedings of the 14th International Conference on Extending Database Technology
Design guidelines for mobile group recommender systems to handle inaccurate or missing location data
Proceedings of the fifth ACM conference on Recommender systems
Key design considerations for recommendation systems
Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services
Vizier: a generic and multidimensional agent-based recommendation framework
Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services
Recommend at opportune moments
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
Recommending multimedia web services in a multi-device environment
Information Systems
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Recommender systems help users find the information, products, and other people they most want to find. This tutorial provides participants with a hands-on learning experience about using recommender system technologies. After completing this tutorial, participants will understand the range of technologies being used for recommender systems, including collaborative filtering, rules-based systems, and information filtering.