Methodologies for Designing and Evaluating Information Retrieval Experiments

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Australian researchers have been highly successful in the area of information searching for more than two decades. This project will reinforce that position. By developing better measures of how retrieval systems such as web search engines perform, we will be able to advise the providers of such services on how to structure software so as to maximize the utility gained by their customers. Targeted access to the right information is a goal of all organizations, regardless of their type, and improved methodologies for conducting information retrieval experiments will have widespread and tangible benefits. The techniques developed will also be applicable in fields such as document categorization, text summarization, and machine learning.