What Deliberately Degrading Search Quality Tells Us About Discount Functions

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Authors

Thomas, Paul
Jones, Timothy
Hawking, David

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Association for Computing Machinery Inc (ACM)

Abstract

Deliberate degradation of search results is a common tool in user experiments. We degrade high-quality search results by inserting non-relevant documents at different ranks. The effect of these manipulations, on a number of commonly-used metrics, is counter-intuitive: the discount functions implicit in P@k, MRR, NDCG, and others do not account for the true relationship between rank and value to the user. We propose an alternative, based on visibility data.

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Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval

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2037-12-31