MovieLens unplugged: experiences with an occasionally connected recommender system
Proceedings of the 8th international conference on Intelligent user interfaces
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
TiVo: making show recommendations using a distributed collaborative filtering architecture
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Listening in: practices surrounding iTunes music sharing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Improving recommendation lists through topic diversification
WWW '05 Proceedings of the 14th international conference on World Wide Web
IEEE Transactions on Knowledge and Data Engineering
Learning user preferences for sets of objects
ICML '06 Proceedings of the 23rd international conference on Machine learning
PolyLens: a recommender system for groups of users
ECSCW'01 Proceedings of the seventh conference on European Conference on Computer Supported Cooperative Work
Evaluation of automatic mobile playlist generator
Mobility '07 Proceedings of the 4th international conference on mobile technology, applications, and systems and the 1st international symposium on Computer human interaction in mobile technology
Hierarchical organization and description of music collections at the artist level
ECDL'05 Proceedings of the 9th European conference on Research and Advanced Technology for Digital Libraries
Rush: repeated recommendations on mobile devices
Proceedings of the 15th international conference on Intelligent user interfaces
Curator: a game with a purpose for collection recommendation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Creating collections with automatic suggestions and example-based refinement
UIST '10 Proceedings of the 23nd annual ACM symposium on User interface software and technology
Recommending Rides: Psychometric Profiling in the Theme Park
Computers in Entertainment (CIE) - Theoretical and Practical Computer Applications in Entertainment
Who needs interaction anyway: exploring mobile playlist creation from manual to automatic
Proceedings of the 16th international conference on Intelligent user interfaces
Personalizing the theme park: psychometric profiling and physiological monitoring
UMAP'11 Proceedings of the 19th international conference on User modeling, adaption, and personalization
On slide-based contextual cues for presentation reuse
Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
Collaborative Filtering Recommender Systems
Foundations and Trends in Human-Computer Interaction
Beyond rating prediction accuracy: on new perspectives in recommender systems
Proceedings of the 7th ACM conference on Recommender systems
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Recommender systems traditionally recommend individual items. We introduce the idea of collection recommender systems and describe a design space for them including 3 main aspects that contribute to the overall value of a collection: the value of the individual items, co-occurrence interaction effects, and order effects including placement and arrangement of items. We then describe an empirical study examining how people create mix tapes. The study found qualitative and quantitative evidence for order effects (e.g., first songs are rated higher than later songs; some songs go poorly together sequentially). We propose several ideas for research in this space, hoping to start a much longer conversation on collection recommender systems.