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A method to predict social annotations

Authors:

Ming-Hung Hsu,

Hsin-Hsi ChenAuthors Info & Claims

CIKM '08: Proceedings of the 17th ACM conference on Information and knowledge management

Pages 1375 - 1376

https://doi.org/10.1145/1458082.1458287

Published: 26 October 2008 Publication History

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Abstract

This paper predicts the stabilized tag set of a resource, with feedback of a small amount of user annotations, aiming to reduce the requirement of sufficient user annotations and to resolve the cold-start problem in a social annotation system.

References

[1]

Bao, S. et al. Optimizing web search using social annotations. In Proceedings of the 16th International Conference on World Wide Web, pp. 501--510, 2007.

Digital Library

Google Scholar

[2]

Berger, A. and Lafferty, J. Information retrieval as statistical translation. In Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 222--229, 1999.

Digital Library

Google Scholar

[3]

Golder, S. A. and Huberman, B. A. Usage patterns of collaborative systems. Journal of Information Science. 32(2), pp. 198--208, 2006.

Digital Library

Google Scholar

[4]

Halpin, H. et al. The complex dynamics of collaborative tagging. In Proceedings of the 16th International Conference on World Wide Web, pp. 211--220, 2007.

Digital Library

Google Scholar

[5]

Hsu, M.-H., Tsai, M.-F., Chen, H.-H. Combining WordNet and ConceptNet for automatic query expansion: a learning approach. In Proceedings of 2008 Asia Information Retrieval Symposium, LNCS, vol. 4993, pp. 213--224, Springer, 2008.

Digital Library

Google Scholar

[6]

Salton, G. and Buckley, C. On the Use of spreading activation methods in automatic information retrieval. In Proceedings of the 11th Annual International ACM SIGIR, pp. 147--160, 1988.

Digital Library

Google Scholar

Cited By

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Martins EBelém FAlmeida JGonçalves M(2016)On cold start for associative tag recommendationJournal of the Association for Information Science and Technology10.1002/asi.2335367:1(83-105)Online publication date: 1-Jan-2016
https://dl.acm.org/doi/10.1002/asi.23353
Sun TZhang MYan FDeng Z(2013)Personalized search in digital libraries via spreading activation modelWeb Intelligence and Agent Systems10.5555/2590084.259008711:2(137-147)Online publication date: 1-Apr-2013
https://dl.acm.org/doi/10.5555/2590084.2590087
Jin YLi RCai YLi QDaud ALi Y(2010)Semantic grounding of hybridization for tag recommendationProceedings of the 11th international conference on Web-age information management10.5555/1884017.1884037(139-150)Online publication date: 15-Jul-2010
https://dl.acm.org/doi/10.5555/1884017.1884037
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Index Terms

A method to predict social annotations
1. Human-centered computing
  1. Collaborative and social computing
2. Information systems
  1. Information retrieval
  2. Information systems applications

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Information & Contributors

Information

Published In

CIKM '08: Proceedings of the 17th ACM conference on Information and knowledge management

October 2008

1562 pages

ISBN:9781595939913

DOI:10.1145/1458082

General Chair:
James G. Shanahan
Church and Duncan Group Inc, USA
,
Program Chairs:
Sihem Amer-Yahia
Yahoo! Research, USA
,
Ioana Manolescu
INRIA, France
,
Yi Zhang
University of California, Santa Cruz, USA
,
David A. Evans
JustSystems Evans Research, USA
,
Alek Kolcz
Microsoft Live Labs, USA
,
Key-Sun Choi
KAIST, Korea
,
Abdur Chowdury
Twitter, USA

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 October 2008

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October 26 - 30, 2008

California, Napa Valley, USA

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Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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Cited By

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Martins EBelém FAlmeida JGonçalves M(2016)On cold start for associative tag recommendationJournal of the Association for Information Science and Technology10.1002/asi.2335367:1(83-105)Online publication date: 1-Jan-2016
https://dl.acm.org/doi/10.1002/asi.23353
Sun TZhang MYan FDeng Z(2013)Personalized search in digital libraries via spreading activation modelWeb Intelligence and Agent Systems10.5555/2590084.259008711:2(137-147)Online publication date: 1-Apr-2013
https://dl.acm.org/doi/10.5555/2590084.2590087
Jin YLi RCai YLi QDaud ALi Y(2010)Semantic grounding of hybridization for tag recommendationProceedings of the 11th international conference on Web-age information management10.5555/1884017.1884037(139-150)Online publication date: 15-Jul-2010
https://dl.acm.org/doi/10.5555/1884017.1884037
Jin YLi RCai YLi QDaud ALi Y(2010)Semantic Grounding of Hybridization for Tag RecommendationWeb-Age Information Management10.1007/978-3-642-14246-8_16(139-150)Online publication date: 2010
https://doi.org/10.1007/978-3-642-14246-8_16

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