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Improving recommendations using watching networks in a social tagging system

Lee, DH and Brusilovsky, P (2011) Improving recommendations using watching networks in a social tagging system. In: UNSPECIFIED UNSPECIFIED, 33 - 39. ISBN 9781450301213

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This paper aims to examine whether users' watching networks can improve collaborative filtering-based recommendations (CF). Watching networks are established by users upon their perceived usefulness or interests about other users' information collections. The networks do not require mutual agreement between a watching party and a watched party. The typical example of this network is'following' in Twitter,'watching' on CiteULike, or'contacts' on Flickr. Once a user declares that'I want to watch user A', the user A's information collection is displayed to the watching user, continuously. It can beinterpreted to mean that a watching user found some shared interests in user A's collection and want to refer to it in future. The approaches explored in this paper take advantage of this watching network as a part of user's preferences for recommendations. To evaluate the potential of these approaches, we focus on a social tagging system, CiteULike. Our data shows that in this context, a hybrid recommendation approachthat fusesCF and watching network-based recommendations outperforms both CF and network-based recommendations. Copyright © 2011 ACM.


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Item Type: Book Section
Status: Published
CreatorsEmailPitt UsernameORCID
Lee, DHhyl12@pitt.eduHYL12
Brusilovsky, Ppeterb@pitt.eduPETERB0000-0002-1902-1464
Date: 18 March 2011
Date Type: Publication
Journal or Publication Title: ACM International Conference Proceeding Series
Page Range: 33 - 39
Event Type: Conference
DOI or Unique Handle: 10.1145/1940761.1940766
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISBN: 9781450301213
Date Deposited: 25 Apr 2012 17:25
Last Modified: 04 Feb 2019 15:58


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