2014 · 94 citations · 34 references
ComputingComputer ScienceInformation SystemsDecision AnalysisInformation RetrievalNatural Language ProcessingEvaluation Of Retrieval SystemsInformation SearchRelevance FeedbackRetrieval ModelsSearch SystemsWeb SearchDocument RelevanceInformation Retrieval EvaluationRelevance AssessmentRelevance JudgmentsSearch Relevance EvaluationSearch Result RelevanceSearch Task Evaluation
In this paper, we study one important source of the mis-match between user data and relevance judgments, those due to the high degree of effort required by users to identify and consume the information in a document. Information retrieval relevance judges are trained to search for evidence of relevance when assessing documents. For complex documents, this can lead to judges' spending substantial time considering each document. However, in practice, search users are often much more impatient: if they do not see evidence of relevance quickly, they tend to give up.
34
J. Peter Kincaid, P Fishburne Lieutenant Robert, L Rogers Richard et al. · 1975 · 743 citations
Education, Educational Assessment, Educational Measurement +13
Mark Claypool, Phong Le, Makoto Wased et al. · 2001 · 672 citations
Evaluating implicit measures to improve web search
Steve Fox, Kuldeep Karnawat, Mark Mydland et al. · ACM Transactions on Information Systems · 2005 · 565 citations