Journal of Documentation · 1977 · 1.1K citations · 41 references
ComputingComputer ScienceInformation RetrievalNatural Language ProcessingText AnalyticsEvaluation Of Retrieval SystemsProbabilistic RetrievalRanking ProblemsRelevance FeedbackRelevance RankingRetrieval ModelsDocument RelevanceDocument RetrievalProbabilistic Relevance RankingProbabilistic Retrieval ModelsProbability Ranking PrincipleRelevance AssessmentRetrievalSearch Result Ranking
The principle that, for optimal retrieval, documents should be ranked in order of the probability of relevance or usefulness has been brought into question by Cooper. It is shown that the principle can be justified under certain assumptions, but that in cases where these assumptions do not hold, the principle is not valid. The major problem appears to lie in the way the principle considers each document independently of the rest. The nature of the information on the basis of which the system decides whether or not to retrieve the documents determines whether the document‐by‐document approach is valid.
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On Relevance, Probabilistic Indexing and Information Retrieval
M. E. Maron, J. L. Kuhns · Journal of the ACM · 1960 · 901 citations · Full text
Developments in Automatic Text Retrieval
Gerard Salton · Science · 1991 · 623 citations
ON TERM SELECTION FOR QUERY EXPANSION
Stephen Robertson · Journal of Documentation · 1990 · 318 citations