2000 · 132 citations · 9 references
Batch EvaluationsInstance RecallEngineeringExploratory SearchInstance Recall TaskEducationProgram EvaluationInformation RetrievalData ScienceMemoryEvaluation MethodologyDo BatchRetrieval TechniqueCognitive ScienceUser ExperienceUser EvaluationEvaluationComputer ScienceEvaluation MeasureEvaluation TechniqueTest Collection
Do improvements in system performance demonstrated by batch evaluations confer the same benefit for real users? We carried out experiments designed to investigate this question. After identifying a weighting scheme that gave maximum improvement over the baseline in a non-interactive evaluation, we used it with real users searching on an instance recall task. Our results showed the weighting scheme giving beneficial results in batch studies did not do so with real users. Further analysis did identify other factors predictive of instance recall, including number of documents saved by the user, document recall, and number of documents seen by the user.
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Pivoted Document Length Normalization
Amit Singhal, Chris Buckley, Manclar Mitra · ACM SIGIR Forum · 2017 · 857 citations
Engineering, Intelligent Information Retrieval, Corpus Linguistics +19
Pivoted document length normalization
Amit Singhal, Chris Buckley, Mandar Mitra · 1996 · 544 citations · Full text
Exploring the similarity space
Justin Zobel, Alistair Moffat · ACM SIGIR Forum · 1998 · 386 citations · Full text
Engineering, Intelligent Information Retrieval, Similarity Measure +20
Overview of the first TREC conference
Donna Harman · 1993 · 175 citations · Full text
Hybrid Event, Engineering, Collaborative Information Retrieval +22