1998 · 99 citations · 31 references
ComputingComputer ScienceInformation SystemsData ManagementDatabasesInformation RetrievalEvaluation Of Retrieval SystemsQuery ExpansionQuery ProcessingRetrieval ModelsAutomatic Query ExpansionInformation Retrieval EvaluationQuery Expansion EvaluationRetrieval
The effects of query structures and query expansion (QE) on retrieval performance were tested with a best match retrieval system (INQUERY'). Query structure means the use of operators to express the relations between search keys. Eight different structures were tested, representing weak structures (averages and weighted averages of the weights of the keys) and strong structures (e.g., queries with more elaborated search key relations). QE was based on concepts, which were first selected from a conceptual model, and then expanded by semantic relationships given in the model. The expansion levels were (a) no expansion, (b) a synonym expansion, (c) a narrower concept expansion, (d) an associative concept expansion, and (e) a cumulative expansion of all other expansions.
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Practical Nonparametric Statistics
David J. Groggel, W. J. Conover · Technometrics · 2000 · 11.1K citations
Stephen Robertson, Steve Walker, Susan Jones et al. · Text REtrieval Conference · 1994 · 2.2K citations
Quary Expansion Using Local and Global Document Analysis
Jinxi Xu, W. Bruce Croft · ACM SIGIR Forum · 2017 · 1.3K citations
Extended Boolean information retrieval
Gerard Salton, Edward A. Fox, Harry Wu · Communications of the ACM · 1983 · 1K citations · Full text