A Flexible Framework for Offline Effectiveness Metrics
Alistair Moffat, Joel Mackenzie, Paul Thomas, Leif Azzopardi
2022Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval41 citationsDOI
Abstract
The use of offline effectiveness metrics is one of the cornerstones of evaluation in information retrieval. Static resources that include test collections and sets of topics, the corresponding relevance judgments connecting them, and metrics that map document rankings from a retrieval system to numeric scores have been used for multiple decades as an important way of comparing systems. The basis behind this experimental structure is that the metric score for a system can serve as a surrogate measurement for user satisfaction.
Topics & Concepts
Computer scienceRelevance (law)Metric (unit)Information retrievalData miningTest (biology)User satisfactionMachine learningHuman–computer interactionEngineeringBiologyLawPaleontologyPolitical scienceOperations managementInformation Retrieval and Search BehaviorData Quality and ManagementSemantic Web and Ontologies