TAG RECOMMENDATION BASED ON USER’S BEHAVIOR IN COLLABORATIVE TAGGING SYSTEMS

Nagehan Ilhan, Şule Gündüz-Öğüdücü

Abstract

Social bookmarking Web sites allow users submitting their resources and labeling them with arbitrary keywords, called tags, to create folksonomies. Tag recommendation is an important element of collaborative tagging systems which aims at providing relevant information to users by proposing a set of tags to each newly posted resource. In this paper, we focus on the task of tag recommendation when a user examines a document based on the user’s tagging behavior. We explore the use of this semantic relationship in modeling the user tagging behavior. The experiments are performed on the data set obtained from a social bookmarking site. Our experimental result show that our method is efficient in modeling users’ tagging behavior and it can be used to recommend tags for resources.

References

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Paper Citation


in Harvard Style

Ilhan N. and Gündüz-Öğüdücü Ş. (2011). TAG RECOMMENDATION BASED ON USER’S BEHAVIOR IN COLLABORATIVE TAGGING SYSTEMS . In Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-8425-40-9, pages 570-573. DOI: 10.5220/0003151005700573


in Bibtex Style

@conference{icaart11,
author={Nagehan Ilhan and Şule Gündüz-Öğüdücü},
title={TAG RECOMMENDATION BASED ON USER’S BEHAVIOR IN COLLABORATIVE TAGGING SYSTEMS},
booktitle={Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2011},
pages={570-573},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003151005700573},
isbn={978-989-8425-40-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - TAG RECOMMENDATION BASED ON USER’S BEHAVIOR IN COLLABORATIVE TAGGING SYSTEMS
SN - 978-989-8425-40-9
AU - Ilhan N.
AU - Gündüz-Öğüdücü Ş.
PY - 2011
SP - 570
EP - 573
DO - 10.5220/0003151005700573