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Salton Award Lecture
Do batch and user evaluations give the same results?
Evaluating evaluation measure stability
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algorithm analysis anchor text answer approach automatically average precision baseline Bayesian Boolean Brown Corpus cache classifier clustering collaborative filtering combination commercial advan computed copy otherwise corpus database dataset docs docu document retrieval effectiveness error rate evaluation example experiments extracted Figure filtering frequency improve indexing information retrieval interactive keywords lemmatizer machine learning match measure ments method n-gram non-relevant noun number of documents optimal personal or classroom phrases post on servers prior specific permission problem Proceedings profit or commercial quality metrics query expansion query plans query terms question ranking recall redistribute to lists relevant documents replica requires prior specific retrieval systems score search engine selection semantic SIGIR similarity Spoken Document Retrieval statistical summary Table task techniques text categorization Text REtrieval Conference tfidf threshold tion topic track TREC types variables vector vector space model weight WordNet words