research-article

Latent subject-centered modeling of collaborative tagging: An application in social search

Authors:

Daniel D. Zeng,

Zan HuangAuthors Info & Claims

ACM Transactions on Management Information Systems (TMIS), Volume 2, Issue 3

Article No.: 15, Pages 1 - 23

https://doi.org/10.1145/2019618.2019621

Published: 18 October 2008 Publication History

Abstract

Collaborative tagging or social bookmarking is a main component of Web 2.0 systems and has been widely recognized as one of the key technologies underpinning next-generation knowledge management platforms. In this article, we propose a subject-centered model of collaborative tagging to account for the ternary cooccurrences involving users, items, and tags in such systems. Extending the well-established probabilistic latent semantic analysis theory for knowledge representation, our model maps the user, item, and tag entities into a common latent subject space that captures the “wisdom of the crowd” resulted from the collaborative tagging process. To put this model into action, we have developed a novel way to estimate the probabilistic subject-centered model approximately in a highly efficient manner taking advantage of a matrix factorization method. Our empirical evaluation shows that our proposed approach delivers substantial performance improvement on the knowledge resource recommendation task over the state-of-the-art standard and tag-aware resource recommendation algorithms.

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Liaskos CTsioliaridou A(2016)Service Ratio-Optimal, Content Coherence-Aware Data Push SystemsACM Transactions on Management Information Systems10.1145/28504236:4(1-23)Online publication date: 13-Jan-2016
https://dl.acm.org/doi/10.1145/2850423
Hunag JYuan XZhong NYao Y(2015)Modeling Tag-Aware Recommendations Based on User PreferencesInternational Journal of Information Technology & Decision Making10.1142/S021962201550019414:05(947-970)Online publication date: Sep-2015
https://doi.org/10.1142/S0219622015500194
Zhang ZZeng DAbbasi APeng JZheng X(2013)A Random Walk Model for Item Recommendation in Social Tagging SystemsACM Transactions on Management Information Systems10.1145/24908604:2(1-24)Online publication date: 1-Aug-2013
https://dl.acm.org/doi/10.1145/2490860
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Index Terms

Latent subject-centered modeling of collaborative tagging: An application in social search
1. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Document filtering
      2. Information extraction

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cover image ACM Transactions on Management Information Systems

ACM Transactions on Management Information Systems Volume 2, Issue 3

October 2011

138 pages

ISSN:2158-656X

EISSN:2158-6578

DOI:10.1145/2019618

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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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Publication History

Accepted: 01 July 2011

Received: 01 June 2011

Published: 18 October 2008

Published in TMIS Volume 2, Issue 3

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Cited By

Liaskos CTsioliaridou A(2016)Service Ratio-Optimal, Content Coherence-Aware Data Push SystemsACM Transactions on Management Information Systems10.1145/28504236:4(1-23)Online publication date: 13-Jan-2016
https://dl.acm.org/doi/10.1145/2850423
Hunag JYuan XZhong NYao Y(2015)Modeling Tag-Aware Recommendations Based on User PreferencesInternational Journal of Information Technology & Decision Making10.1142/S021962201550019414:05(947-970)Online publication date: Sep-2015
https://doi.org/10.1142/S0219622015500194
Zhang ZZeng DAbbasi APeng JZheng X(2013)A Random Walk Model for Item Recommendation in Social Tagging SystemsACM Transactions on Management Information Systems10.1145/24908604:2(1-24)Online publication date: 1-Aug-2013
https://dl.acm.org/doi/10.1145/2490860
Adomavicius GZhang J(2012)Impact of data characteristics on recommender systems performanceACM Transactions on Management Information Systems10.1145/2151163.21511663:1(1-17)Online publication date: 10-Apr-2012
https://dl.acm.org/doi/10.1145/2151163.2151166

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