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

AAAI 2012 pp. 2400-2401

doi:10.1609/AAAI.V26I1.8185 /aaai/2012/dery2012aaai-iterative/

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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Cite

Text

Dery. "Iterative Voting Under Uncertainty for Group Recommender Systems (Research Abstract)." AAAI Conference on Artificial Intelligence, 2012. doi:10.1609/AAAI.V26I1.8185

Markdown

[Dery. "Iterative Voting Under Uncertainty for Group Recommender Systems (Research Abstract)." AAAI Conference on Artificial Intelligence, 2012.](https://mlanthology.org/aaai/2012/dery2012aaai-iterative/) doi:10.1609/AAAI.V26I1.8185

BibTeX

@inproceedings{dery2012aaai-iterative,
  title     = {{Iterative Voting Under Uncertainty for Group Recommender Systems (Research Abstract)}},
  author    = {Dery, Lihi Naamani},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2012},
  pages     = {2400-2401},
  doi       = {10.1609/AAAI.V26I1.8185},
  url       = {https://mlanthology.org/aaai/2012/dery2012aaai-iterative/}
}