research-article

Improving recommendations using WatchingNetworks in a social tagging system

Authors:

Danielle H. Lee,

Peter BrusilovskyAuthors Info & Claims

iConference '11: Proceedings of the 2011 iConference

Pages 33 - 39

https://doi.org/10.1145/1940761.1940766

Published: 08 February 2011 Publication History

Abstract

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.

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Cited By

Färber MCoutinho MYuan S(2023)Biases in scholarly recommender systems: impact, prevalence, and mitigationScientometrics10.1007/s11192-023-04636-2128:5(2703-2736)Online publication date: 21-Mar-2023
https://dl.acm.org/doi/10.1007/s11192-023-04636-2
Lee DBrusilovsky P(2018)Recommendations Based on Social LinksSocial Information Access10.1007/978-3-319-90092-6_11(391-440)Online publication date: 3-May-2018
https://doi.org/10.1007/978-3-319-90092-6_11
Alotaibi SVassileva J(2017)Implicit Social Networks for Social Recommendation of Scholarly PapersHighlighting the Importance of Big Data Management and Analysis for Various Applications10.1007/978-3-319-60255-4_7(79-92)Online publication date: 23-Aug-2017
https://doi.org/10.1007/978-3-319-60255-4_7
Show More Cited By

Index Terms

Improving recommendations using WatchingNetworks in a social tagging system
1. Human-centered computing
  1. Collaborative and social computing

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cover image ACM Other conferences

iConference '11: Proceedings of the 2011 iConference

February 2011

858 pages

ISBN:9781450301213

DOI:10.1145/1940761

Copyright © 2011 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 08 February 2011

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iConference '11: iConference 2011

February 8 - 11, 2011

Washington, Seattle, USA

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Cited By

Färber MCoutinho MYuan S(2023)Biases in scholarly recommender systems: impact, prevalence, and mitigationScientometrics10.1007/s11192-023-04636-2128:5(2703-2736)Online publication date: 21-Mar-2023
https://dl.acm.org/doi/10.1007/s11192-023-04636-2
Lee DBrusilovsky P(2018)Recommendations Based on Social LinksSocial Information Access10.1007/978-3-319-90092-6_11(391-440)Online publication date: 3-May-2018
https://doi.org/10.1007/978-3-319-90092-6_11
Alotaibi SVassileva J(2017)Implicit Social Networks for Social Recommendation of Scholarly PapersHighlighting the Importance of Big Data Management and Analysis for Various Applications10.1007/978-3-319-60255-4_7(79-92)Online publication date: 23-Aug-2017
https://doi.org/10.1007/978-3-319-60255-4_7
Alotaibi SVassileva JVassileva JBlustein JAroyo LD'Mello S(2016)Effect of Different Implicit Social Networks on Recommending Research PapersProceedings of the 2016 Conference on User Modeling Adaptation and Personalization10.1145/2930238.2930293(217-221)Online publication date: 13-Jul-2016
https://dl.acm.org/doi/10.1145/2930238.2930293

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