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Performance evaluation of state-of-the-art ranked retrieval methods and their combinations for query suggestion

Plansangket, S and Gan, JQ (2014) Performance evaluation of state-of-the-art ranked retrieval methods and their combinations for query suggestion. In: UNSPECIFIED, ? - ?.

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Abstract

Copyright © 2014 SCITEPRESS - Science and Technology Publications All rights reserved. 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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: KDIR 2014 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval
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: 22 Jul 2015 14:26
Last Modified: 23 Jan 2019 00:16
URI: http://repository.essex.ac.uk/id/eprint/14409

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