A New Query Suggestion Algorithm for Taxonomy-based Search Engines

Roberto Zanon; Simone Albertini; Moreno Carullo; Ignazio Gallo

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

A New Query Suggestion Algorithm for Taxonomy-based Search Engines

Topics: Data Mining in Electronic Commerce

In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 0IC3K, 151-156, 2012 , Barcelona, Spain

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

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.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 3.139.108.99

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

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 (IC3K 2012) - KDIR; ISBN 978-989-8565-29-7; ISSN 2184-3228, SciTePress, 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 (IC3K 2012) - KDIR},
year={2012},
pages={151-156},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004108001510156},
isbn={978-989-8565-29-7},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2012) - KDIR
TI - A New Query Suggestion Algorithm for Taxonomy-based Search Engines
SN - 978-989-8565-29-7
IS - 2184-3228
AU - Zanon, R.
AU - Albertini, S.
AU - Carullo, M.
AU - Gallo, I.
PY - 2012
SP - 151
EP - 156
DO - 10.5220/0004108001510156
PB - SciTePress