Research Repository

A query suggestion method combining TF-IDF and Jaccard Coefficient for interactive web search

Plansangket, S and Gan, JQ (2015) 'A query suggestion method combining TF-IDF and Jaccard Coefficient for interactive web search.' Artificial Intelligence Research, 4 (2). ISSN 1927-6974

[img]
Preview
Text
6978-24739-1-PB.pdf - Published Version
Available under License Creative Commons Attribution.

Download (495kB) | Preview

Abstract

This paper proposes a query suggestion method combining two ranked retrieval methods: TF-IDF and Jaccard coefficient. Four performance criteria plus user evaluation have been adopted to evaluate this combined method in terms of ranking and relevance from different perspectives. Two experiments have been conducted using carefully designed eighty test queries which are related to eight topics. One experiment aims to evaluate the quality of the query suggestions generated by the proposed method, and the other aims to evaluate the improvement of the relevance of retuned documents in interactive web search by using thequery suggestions so as to evaluate the effectiveness of the developed method. The experimental results show that the method developed in this paper is the best method for query suggestion among the methods evaluated, significantly outperforming the most popularly used TF-IDF method. In addition, the query suggestions generated by the proposed method significantly improve the relevance of returned documents in interactive web search in terms of increasing the precision or the number of highly relevant documents.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 13 Dec 2016 14:22
Last Modified: 17 Aug 2017 17:20
URI: http://repository.essex.ac.uk/id/eprint/18534

Actions (login required)

View Item View Item