Journal of the American Society for Information Science · 1977 · 93 citations · 9 references
ComputingComputer ScienceInformation SystemsDatabasesInformation RetrievalNatural Language ProcessingBoolean RetrievalEvaluation Of Retrieval SystemsRanking ProblemsRelevance RankingSearch SystemsSearching AlgorithmsBoolean Query ProcessingBoolean QueryingBoolean Search DesignDocument RetrievalInverted IndexesQuery EvaluationRanking AlgorithmsSearch Result Ranking
Abstract This study examined the effectiveness and efficiency of employing a fully automatic algorithm for ranking the results of Boolean searches of an inverted file design document retrieval system. The study indicated that with minor modification of file designs, such as those implemented in the Syracuse Information Retrieval Experiment (SIRE), document retrieval systems could efficiently provide users with output lists on which the rank order of a document is a good indicator of its probable relevance to the user's information need. The study found that relevant documents were ranked significantly higher than nonrelevant documents in the set of documents retrieved in response to a Boolean query. By utilizing an augmented inverted file design the variable incremental cost for ranked output was only ten cents per query. There was no increased user effort.
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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
OPENING THE BLACK BOX OF ‘RELEVANCE’
Carlos A. Cuadra, Robert V. Katter · Journal of Documentation · 1967 · 121 citations
Gerard Salton · Information Storage and Retrieval · 1974 · 89 citations