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

Lihi Naamani-Dery

doi:10.1609/aaai.v26i1.8185

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

Authors

Lihi Naamani-Dery Beu-Gurion University of the Negev

DOI:

https://doi.org/10.1609/aaai.v26i1.8185

Keywords:

group recommender systems, probabilistic preference elicitation, probabilistic range voting

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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Published

2021-09-20

How to Cite

Naamani-Dery, L. (2021). Iterative Voting under Uncertainty for Group Recommender Systems (Research Abstract). Proceedings of the AAAI Conference on Artificial Intelligence, 26(1), 2400-2401. https://doi.org/10.1609/aaai.v26i1.8185