loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Suthira Plansangket and John Q. Gan

Affiliation: University of Essex, United Kingdom

ISBN: 978-989-758-048-2

Keyword(s): Query Suggestion, Query Expansion, Information Retrieval, Search Engine, Performance Evaluation.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Context Discovery ; Data Reduction and Quality Assessment ; Foundations of Knowledge Discovery in Databases ; Information Extraction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Structured Data Analysis and Statistical Methods ; Symbolic Systems

Abstract: This paper investigates several state-of-the-art ranked retrieval methods, adapts and combines them as well for query suggestion. Four performance criteria plus user evaluation have been adopted to evaluate these query suggestion methods in terms of ranking and relevance from different perspectives. Extensive experiments have been conducted using carefully designed eighty test queries which are related to eight topics. The experimental results show that the method developed in this paper, which combines the TF-IDF and Jaccard coefficient methods, is the best method for query suggestion among the six methods evaluated, outperforming the most popularly used TF-IDF method. Furthermore, it is shown that re-ranking query suggestions using Cosine similarity improves the performance of query suggestions.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.205.176.100

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:
Plansangket, S.; Plansangket, S. and Q. Gan, J. (2014). Performance Evaluation of State-of-the-Art Ranked Retrieval Methods and Their Combinations for Query Suggestion.In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2014) ISBN 978-989-758-048-2, pages 141-148. DOI: 10.5220/0005018401410148

@conference{kdir14,
author={Suthira Plansangket. and Suthira Plansangket. and John Q. Gan.},
title={Performance Evaluation of State-of-the-Art Ranked Retrieval Methods and Their Combinations for Query Suggestion},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2014)},
year={2014},
pages={141-148},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005018401410148},
isbn={978-989-758-048-2},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2014)
TI - Performance Evaluation of State-of-the-Art Ranked Retrieval Methods and Their Combinations for Query Suggestion
SN - 978-989-758-048-2
AU - Plansangket, S.
AU - Plansangket, S.
AU - Q. Gan, J.
PY - 2014
SP - 141
EP - 148
DO - 10.5220/0005018401410148

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.