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Authors: Frederico Durao 1 ; Ricardo Lage 1 ; Peter Dolog 1 and Nilay Coşkun 2

Affiliations: 1 IWIS — Intelligent Web and Information Systems and Aalborg University, Denmark ; 2 Istanbul Technical University, Turkey

Keyword(s): Personalized, Search, Tagging, User learning, User preferences.

Related Ontology Subjects/Areas/Topics: Data Engineering ; Ontologies and the Semantic Web ; Personalized Web Sites and Services ; Searching and Browsing ; User Modeling ; Web Information Systems and Technologies ; Web Interfaces and Applications ; Web Personalization

Abstract: Coping with ambiguous queries has long been an important part in the research of Web Information Systems and Retrieval, but still remains to be a challenging task. Personalized search has recently got significant attention to address this challenge in the web search community, based on the premise that a user’s general preference may help the search engine disambiguate the true intention of a query. However, studies have shown that users are reluctant to provide any explicit input on their personal preference. In this paper, we study how a search engine can learn a user’s preference automatically based on a user’s tagging activity and how it can use the user preference to personalize search results. Our experiments show that users’ preferences can be learned from a multi-factor tagging data and personalized search based on user preference yields significant precision improvements over the existing ranking mechanisms in the literature.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Durao, F.; Lage, R.; Dolog, P. and Coşkun, N. (2011). EXPLORING MULTI-FACTOR TAGGING ACTIVITY FOR PERSONALIZED SEARCH. In Proceedings of the 7th International Conference on Web Information Systems and Technologies - WEBIST; ISBN 978-989-8425-51-5; ISSN 2184-3252, SciTePress, pages 212-220. DOI: 10.5220/0003300502120220

@conference{webist11,
author={Frederico Durao. and Ricardo Lage. and Peter Dolog. and Nilay Coşkun.},
title={EXPLORING MULTI-FACTOR TAGGING ACTIVITY FOR PERSONALIZED SEARCH},
booktitle={Proceedings of the 7th International Conference on Web Information Systems and Technologies - WEBIST},
year={2011},
pages={212-220},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003300502120220},
isbn={978-989-8425-51-5},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Web Information Systems and Technologies - WEBIST
TI - EXPLORING MULTI-FACTOR TAGGING ACTIVITY FOR PERSONALIZED SEARCH
SN - 978-989-8425-51-5
IS - 2184-3252
AU - Durao, F.
AU - Lage, R.
AU - Dolog, P.
AU - Coşkun, N.
PY - 2011
SP - 212
EP - 220
DO - 10.5220/0003300502120220
PB - SciTePress