Search term relevance weighting- some recent results
Journal of Information SciencePublished 1 December 1979
Karen Spärck Jones
Citations14
SJR quartileQ1
SJR score0.63
SNIP1.31
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TL;DR
The results show that relevance weighting can improve retrieval performance substantially in the stringent conditions implied by large document sets and little relevance assessment information.
Abstract
This paper describes a series of experiments designed to test the value of search term relevance weighting schemes in the conditions typical of operational retrieval systems. The results show that relevance weighting can improve retrieval performance substantially in the stringent conditions implied by large document sets and little relevance assessment information.
Keywords
Computer Science
Journal of the American Society for Information ScienceRelevance weighting of search terms
2,068 Citations1976Stephen Robertson, Karen Spärck Jones
This paper examines statistical techniques for exploiting relevance information to weight search terms using information about the distribution of index terms in documents in general and shows that specific weighted search methods are implied by a general probabilistic theory of retrieval.
Journal of DocumentationAN EVALUATION OF FEEDBACK IN DOCUMENT RETRIEVAL USING CO‐OCCURRENCE DATA
160 Citations1978David J. Harper, C. J. van Rijsbergen
This paper reports experiments with a term weighting model incorporating relevance information in which it is assumed that index terms are distributed dependently and argues that if high recall searches are required, relevance feedback based on the modified dependence model may be superior to the widely used Boolean search.
Information Processing & ManagementExperiments in relevance weighting of search terms
93 Citations1979Karen Spärck Jones
Very striking improvements in retrieval performance were obtained, especially for the theoretically best-founded weighting formula, which illustrates a much more promising application of statistical methods to indexing and searching than any studied hitherto.
Journal of DocumentationSEARCH TERM RELEVANCE WEIGHTING GIVEN LITTLE RELEVANCE INFORMATION
72 Citations1979Karen Spärck Jones
The tests simulated iterative searching, as in an on‐line system, and show that even very little relevance information can be of considerable value in relation to relevance weighting.
Information Processing & ManagementAutomatic indexing using term discrimination and term precision measurements
36 Citations1976Gerard Salton, Anita M.-Y. Wong +1 more
These two indexing systems are briefly described and experimental evidence is cited showing that a combination of both theories produces better retrieval performance than either one alone.