The Feasibility of Machine Learning for Query Answering - An Experiment in Two Domains

Authors:
Richard F. E. Sutcliffe;Kieran White
Affiliations:
-;-
Venue:
AICS '02 Proceedings of the 13th Irish International Conference on Artificial Intelligence and Cognitive Science
Year:
2002

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Abstract

We present an experiment in which an information retrieval system usinga forest of decision trees was trained usingUtg off's ITI algorithm on two test collections. The system was then compared with a conventional inverted indexing engine and found to give a superior performance. We argue that the method has the potential to be used in real applications where the task domain is homogeneous.