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

Lihi Naamani-Dery

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

Lihi Naamani-Dery

Department of Software and Information Systems Engineering

Research output: Contribution to conference › Paper › peer-review

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”.

Original language	English
Pages	2400-2401
Number of pages	2
State	Published - 1 Jan 2012
Event	26th AAAI Conference on Artificial Intelligence, AAAI 2012 - Toronto, Canada Duration: 22 Jul 2012 → 26 Jul 2012

Conference

Conference	26th AAAI Conference on Artificial Intelligence, AAAI 2012
Country/Territory	Canada
City	Toronto
Period	22/07/12 → 26/07/12

ASJC Scopus subject areas

Artificial Intelligence

Cite this

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title = "Iterative Voting under Uncertainty for Group Recommender Systems (Research Abstract)",

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”.",

author = "Lihi Naamani-Dery",

note = "Publisher Copyright: Copyright {\textcopyright} 2012, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.; 26th AAAI Conference on Artificial Intelligence, AAAI 2012 ; Conference date: 22-07-2012 Through 26-07-2012",

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T2 - 26th AAAI Conference on Artificial Intelligence, AAAI 2012

Y2 - 22 July 2012 through 26 July 2012

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

Abstract

Conference

ASJC Scopus subject areas

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