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Authors: Roberto Zanon 1 ; Simone Albertini 2 ; Moreno Carullo 1 and Ignazio Gallo 2

Affiliations: 1 7Pixel S.r.l., Italy ; 2 University of Insubria, Italy

ISBN: 978-989-8565-29-7

Keyword(s): Query Suggestion, Query Log, Query Session, User Experience.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data Mining in Electronic Commerce ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Symbolic Systems

Abstract: The objective of this work is the realization of an algorithm to provide a query suggestion feature in order to support the search engine of a commercial web site. Starting from web server logs, our solution creates a model analyzing the queries submitted by the users. Given a submitted query, the system searches the most adequate queries to suggest. Our method implements an already known session based proposal enriching it by exploiting specific information available in the current context: the category the user is browsing on the web site and a solution to overcome the limits of a pure session based approach considering also similarity between queries. Quantitative and qualitative experiments show that the proposed model is suitable in terms of resources employed and user’s satisfaction degree.

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Paper citation in several formats:
Zanon, R.; Albertini, S.; Carullo, M. and Gallo, I. (2012). A New Query Suggestion Algorithm for Taxonomy-based Search Engines.In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012) ISBN 978-989-8565-29-7, pages 151-156. DOI: 10.5220/0004108001510156

@conference{kdir12,
author={Roberto Zanon. and Simone Albertini. and Moreno Carullo. and Ignazio Gallo.},
title={A New Query Suggestion Algorithm for Taxonomy-based Search Engines},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012)},
year={2012},
pages={151-156},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004108001510156},
isbn={978-989-8565-29-7},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012)
TI - A New Query Suggestion Algorithm for Taxonomy-based Search Engines
SN - 978-989-8565-29-7
AU - Zanon, R.
AU - Albertini, S.
AU - Carullo, M.
AU - Gallo, I.
PY - 2012
SP - 151
EP - 156
DO - 10.5220/0004108001510156

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