Learning to Effectively Select Topics For Information Retrieval Test Collections

arXiv: Information Retrieval, Volume abs/1701.07810, 2017.

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Abstract:

While test collections are commonly employed to evaluate the effectiveness of information retrieval (IR) systems, constructing these collections has become increasingly expensive in recent years as collection sizes have grown ever-larger. To address this, we propose a new learning-to-rank topic selection method which reduces the number of...More

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