Boolean Query Formulation with Relevance Feedback. Fox, E. A, Voorhees, E. M, Salton, G., & Buckley, C. 1983. Series Number: TR83-539
abstract   bibtex   
The well-known relevance feedback process uses information extracted from previously retrieved relevant documents to generate improved search formulations for subsequent search iterations. Methods are outlined in this study for the automatic generation of Boolean search statements based on the natural language texts of initially available search requests and of previously retrieved document excerpts identified as relevant by the user population. The search requests are generated both in a conventional Boolean system and in an extended system in which the normal interpretation of the Boolean connectives is relaxed. Experimental output is included which shows that substantial improvements in retrieval effectiveness are obtainable using the automatic relevance feedback methods.
@article{Fox/etal:83,
	title = {Boolean {Query} {Formulation} with {Relevance} {Feedback}},
	abstract = {The well-known relevance feedback process uses information
extracted from previously retrieved relevant documents to generate
improved search formulations for subsequent search iterations. Methods
are outlined in this study for the automatic generation of Boolean
search statements based on the natural language texts of initially
available search requests and of previously retrieved document excerpts
identified as relevant by the user population. The search requests are
generated both in a conventional Boolean system and in an extended
system in which the normal interpretation of the Boolean connectives is
relaxed. Experimental output is included which shows that substantial
improvements in retrieval effectiveness are obtainable using the
automatic relevance feedback methods.},
	author = {Fox, Edward A and Voorhees, Ellen M and Salton, Gerard and Buckley, Chris},
	year = {1983},
	note = {Series Number: TR83-539},
	pages = {46},
}

Downloads: 0