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Users Tagging Behavior and the Effect of Recommendation

Published:04 October 2016Publication History

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

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  1. Users Tagging Behavior and the Effect of Recommendation

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    • Published in

      cover image ACM Other conferences
      IHC '16: Proceedings of the 15th Brazilian Symposium on Human Factors in Computing Systems
      October 2016
      431 pages
      ISBN:9781450352352
      DOI:10.1145/3033701

      Copyright © 2016 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 4 October 2016

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      • short-paper
      • Research
      • Refereed limited

      Acceptance Rates

      IHC '16 Paper Acceptance Rate58of158submissions,37%Overall Acceptance Rate331of973submissions,34%
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