Iterative Voting under Uncertainty for Group Recommender Systems (Research Abstract)

AAAI Publications, Twenty-Sixth AAAI Conference on Artificial Intelligence

Lihi Naamani-Dery

Last modified: 2012-07-14

Abstract

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

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