Power to the people : exploring neighbourhood formations in social recommender systems

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Title: Power to the people : exploring neighbourhood formations in social recommender systems
Authors: Bourke, Steven
McCarthy, Kevin
Smyth, Barry
Permanent link: http://hdl.handle.net/10197/3508
Date: Sep-2011
Abstract: The explosive growth of online social networks in recent times has presented a powerful source of information to be utilised in personalised recommendations. Unsurprisingly there has already been a large body of work completed in the recommender system field to incorporate this social in- formation into the recommendation process. In this paper we examine the practice of leveraging a user’s social graph in order to generate recommendations. Using various neighbourhood selection strategies, we examine the user satisfaction and the level of perceived trust in the recommendations received.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: ACM
Copyright (published version): 2011 ACM
Keywords: Recommender systemCollaborative filteringSocial networkFacebook
Subject LCSH: Recommender systems (Information filtering)
Online social networks
DOI: 10.1145/2043932.2043997
Other versions: http://dx.doi.org/10.1145/2043932.2043997
Language: en
Status of Item: Peer reviewed
Is part of: RecSys '11 : Proceedings of the fifth ACM conference on Recommender systems
Conference Details: Paper presented at RecSys-11, Chicago IL, USA, October 23-27, 2011
ISBN: 978-1-4503-0683-6
Appears in Collections:CLARITY Research Collection
Computer Science Research Collection

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