AAAI Publications, Twenty-Sixth AAAI Conference on Artificial Intelligence

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Iterative Voting under Uncertainty for Group Recommender Systems (Research Abstract)
Lihi Naamani-Dery

Last modified: 2012-07-14


Group Recommendation Systems (GRS's) assist groups when trying to reach a joint decision. I use probabilistic data and apply voting theory to GRS’s in order to minimize user interaction and output an approximate or definite “winner item


group recommender systems, probabilistic preference elicitation, probabilistic range voting

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