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Users Tagging Behavior and the Effect of Recommendation

Authors:

Angelina Ziesemer,

James Blustein,

Milene SilveiraAuthors Info & Claims

IHC '16: Proceedings of the 15th Brazilian Symposium on Human Factors in Computing Systems

Article No.: 36, Pages 1 - 4

https://doi.org/10.1145/3033701.3033738

Published: 04 October 2016 Publication History

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Abstract

Users' tagging behavior has evolved. Formerly, the majority of users employed tags to label explicit content presented in resources. Now many users assign tags to express more than mere content description. The primary goal of this paper is to investigate how recommender systems change users' tagging behavior. We focused our investigation in the tagging task, modeling tags from a semiotic point of view. The results of a user experiment we conducted show that recommender systems can drive users to change the tag structure adopted.

References

[1]

Angelina de CA Ziesemer and Joao Batista S de Oliveira. 2013. Keep Querying and Tag on: Collaborative Folksonomy Using Model-Based Recommendation. In International Conference on Collaboration and Technology. Springer, 10--17.

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[2]

Ferdinand De Saussure. 1916; 2011. Course in general linguistics. Columbia University Press.

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[3]

Manish Gupta, Rui Li, Zhijun Yin, and Jiawei Han. 2010. Survey on Social Tagging Techniques. SIGKDD Explor. Newsl. 12, 1 (Nov. 2010), 58--72.

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[4]

Kaja Silverman. 1984. The subject of semiotics. Oxford University Press.

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[5]

Csaba Veres. 2006. The language of folksonomies: What tags reveal about user classification. In Natural language processing and information systems. Springer, 58--69.

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Index Terms

Users Tagging Behavior and the Effect of Recommendation
1. Human-centered computing
  1. Collaborative and social computing

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IHC '16: Proceedings of the 15th Brazilian Symposium on Human Factors in Computing Systems

October 2016

431 pages

ISBN:9781450352352

DOI:10.1145/3033701

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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SBC: Sociedade Brasileira de Computação
CNPq: Conselho Nacional de Desenvolvimento Cientifico e Tecn
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
CGIBR: Comite Gestor da Internet no Brazil

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Association for Computing Machinery

New York, NY, United States

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Published: 04 October 2016

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IHC '16

IHC '16: XV Brazilian Symposium on Human Factors in Computing Systems

October 4 - 7, 2016

São Paulo, Brazil

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IHC '16 Paper Acceptance Rate 58 of 158 submissions, 37%;

Overall Acceptance Rate 331 of 973 submissions, 34%

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Recommendations

Survey on social tagging techniques

I tag, you tag: translating tags for advanced user models

A hybrid approach to item recommendation in folksonomies

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Recommendations

Survey on social tagging techniques

I tag, you tag: translating tags for advanced user models

A hybrid approach to item recommendation in folksonomies

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