Qualitative decision making in adaptive presentation of structured information
ACM Transactions on Information Systems (TOIS)
DD-PREF: a language for expressing preferences over sets
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Journal of Artificial Intelligence Research
On graphical modeling of preference and importance
Journal of Artificial Intelligence Research
Learning user preferences for sets of objects
ICML '06 Proceedings of the 23rd international conference on Machine learning
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Generic preferences over subsets of structured objects
Journal of Artificial Intelligence Research
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Learning optimal subsets with implicit user preferences
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Evaluating, combining and generalizing recommendations with prerequisites
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
On manipulation in multi-winner elections based on scoring rules
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
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Research on preference elicitation and reasoning typically focuses on preferences over single objects of interest. However, in a number of applications the "outcomes" of interest are sets of such atomic objects. For instance, when creating the program for a film festival, editing a newspaper, or putting together a team, we need to select a set of films (resp. articles, members) that is optimal with respect to quality, diversity, cohesiveness, etc. This paper describes an intuitive approach for specifying preferences over sets of objects. An algorithm for computing an optimal subset, given a set of candidate objects and a preference specification, is developed and evaluated.