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Mining Information Retrieval Results Significant IR parameters

Authors:
Jonathan Compaoré
Adji Maïram Gueye
Sébastien Déjean
Josiane Mothe
Joelson Randriamparany

Keywords: information retrieval; data mining; parameter analysis; performance prediction

Abstract:
This paper presents the results of mining a large set of information retrieval results. The objective of this study is to determine which parameters significantly affect search engine performance. We focus on the main features of information retrieval: indexing parameters and search models. Statistical analysis identifies the retrieval model as the most important parameter to be tuned to improve the performance of an information retrieval system. We also show that the significant parameters depend on the difficulty of the topic.

Pages: 156 to 161

Copyright: Copyright (c) IARIA, 2011

Publication date: October 23, 2011

Published in: conference

ISSN: 2326-9332

ISBN: 978-1-61208-162-5

Location: Barcelona, Spain

Dates: from October 23, 2011 to October 29, 2011