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Authors: Irene Giakoumi 1 ; Christos Makris 2 and Yiannis Plegas 1

Affiliations: 1 University of Patras, Greece ; 2 University Of Patras, Greece

Keyword(s): Clustering, Information Retrieval, Kullback-Leibler Divergence, Language Models, Query Expansion, Redundant Elimination, Semantics.

Related Ontology Subjects/Areas/Topics: Ontology and the Semantic Web ; Web Information Systems and Technologies ; Web Interfaces and Applications

Abstract: In this paper, we describe two novel frameworks for improving search results. Both of them organize relevant documents into clusters utilizing a new soft clustering method and language models. The first framework is query-independent and takes into account only the inter-document lexical or semantic similarities in order to form clusters. Also, we try to locate the duplicated content inside the formed clusters. The second framework is query-dependent and uses a query expansion technique for the cluster formation. The experimental evaluation demonstrates that the proposed method performs well in the majority of the results.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Giakoumi, I.; Makris, C. and Plegas, Y. (2015). Language Model and Clustering based Information Retrieval. In Proceedings of the 11th International Conference on Web Information Systems and Technologies - WEBIST; ISBN 978-989-758-106-9; ISSN 2184-3252, SciTePress, pages 479-486. DOI: 10.5220/0005409804790486

@conference{webist15,
author={Irene Giakoumi. and Christos Makris. and Yiannis Plegas.},
title={Language Model and Clustering based Information Retrieval},
booktitle={Proceedings of the 11th International Conference on Web Information Systems and Technologies - WEBIST},
year={2015},
pages={479-486},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005409804790486},
isbn={978-989-758-106-9},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Web Information Systems and Technologies - WEBIST
TI - Language Model and Clustering based Information Retrieval
SN - 978-989-758-106-9
IS - 2184-3252
AU - Giakoumi, I.
AU - Makris, C.
AU - Plegas, Y.
PY - 2015
SP - 479
EP - 486
DO - 10.5220/0005409804790486
PB - SciTePress

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