Generating recommendations for consensus negotiation in group personalization services

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Title: Generating recommendations for consensus negotiation in group personalization services
Authors: Salamó, Maria
McCarthy, Kevin
Smyth, Barry
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Date: 17-Jun-2012
Abstract: There are increasingly many personalization services in ubiquitous computing environments that involve a group of users rather than individuals. Ubiquitous commerce is one example of these environments. Ubiquitous commerce research is highly related to recommender systems that have the ability to provide even the most tentative shoppers with compelling and timely item suggestions. When the recommendations are made for a group of users, new challenges and issues arise to provide compelling item suggestions. One of the challenges a group recommender system must cope with is the potentially conflicting preferences of multiple users when selecting items for recommendation. In this paper we focus on how individual user models can be aggregated to reach a consensus on recommendations. We describe and evaluate nine different consensus strategies and analyze them to highlight the benefits of group recommendation using live-user preference data. Moreover, we show that the performance is significantly different among strategies.
Funding Details: Science Foundation Ireland
Type of material: Journal Article
Publisher: Springer
Journal: Personal and Ubiquitous Computing
Volume: 16
Issue: 5
Start page: 597
End page: 610
Copyright (published version): 2011 Springer-Verlag London Limited
Keywords: ConsensusGroup recommendationUbiquitous personalization services
Subject LCSH: Consensus (Social sciences)
Recommender systems (Information filtering)
Web personalization
Ubiquitous computing
DOI: 10.1007/s00779-011-0413-1
Language: en
Status of Item: Peer reviewed
Appears in Collections:CLARITY Research Collection
Computer Science Research Collection

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