Iterative Voting under Uncertainty for Group Recommender Systems (Research 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