Characterizing Users Tagging Behavior in Academic Blogs
Authors: 
Lei Li, Chengzhi ZhangAuthors Info & Claims
Pages 215 - 216
Abstract
Along with popular of academic social media, academic blogs are one of the user generated academic information that can be annotated using social tags for user's information retrieval and organization. In order to improve the existing social tagging system to satisfy the users' needs, users' tagging behavior need to be understood. However, there is no researches on characterizing user tagging behaviors of academic resources. In this paper, using the tag of academic blog as the research object, the author analyze user's tagging behaviors based on the characteristics of tags (tags-based features) and those related to blog contents (content-based features). These characteristics can be used to the academic tagging system to promote organization and propagation of academic knowledge.
References
[1]
Sa, N. and Yuan, X., 2013. What motivates people use social tagging. InOnline Communities and Social Computing (pp. 86--93). Springer Berlin Heidelberg. DOI=10.1007/978--3--642--39371--6_10
[2]
Vander Wal, T., 2007. Folksonomy. online posting, Feb, 7.
[3]
Farooq, U., Kannampallil, T.G., Song, Y., Ganoe, C.H., Carroll, J.M. and Giles, L., 2007, November. Evaluating tagging behavior in social bookmarking systems: metrics and design heuristics. In Proceedings of the 2007 international ACM conference on Supporting group work (pp. 351--360). ACM.
[4]
Gupta, M., Li, R., Yin, Z. and Han, J., 2010. Survey on social tagging techniques. ACM SIGKDD Explorations Newsletter, 12(1), pp.58--72. DOI=10.1145/1882471.1882480
[5]
Kageura, K. and Umino, B., 1996. Methods of automatic term recognition: A review. Terminology, 3(2), pp.259--289. DOI=http://dx.doi.org/10.1075/term.3.2.03kag
[6]
Sood, S., Owsley, S., Hammond, K.J. and Birnbaum, L., 2007, March. TagAssist: Automatic Tag Suggestion for Blog Posts. In ICWSM
Index Terms
- Characterizing Users Tagging Behavior in Academic Blogs
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Information
Published In
June 2016
316 pages
ISBN:9781450342292
DOI:10.1145/2910896
- General Chairs:
- Nabil R. Adam,
- Boots Cassel,
- Yelena Yesha,
- Program Chairs:
- Richard Furuta,
- Michele C. Weigle
Copyright © 2016 Owner/Author.
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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- SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
- SIGIR: ACM Special Interest Group on Information Retrieval
- IEEE Technical Committee on Digital Libraries (TC DL)
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Association for Computing Machinery
New York, NY, United States
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Published: 19 June 2016
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JCDL '16: The 16th ACM/IEEE-CS Joint Conference on Digital Libraries
June 19 - 23, 2016
New Jersey, Newark, USA
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JCDL '16 Paper Acceptance Rate 15 of 52 submissions, 29%;
Overall Acceptance Rate 415 of 1,482 submissions, 28%
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