Probabilistic and genetic algorithms for document retrieval
Inhaltsverzeichnis
Referenz
M. Gordon: Probabilistic and genetic algorithms for document retrieval. Communications of the ACM, 31 (10) (1988), pp. 1208–1218
DOI
http://dx.doi.org/10.1145/63039.63044
Abstract
Document retrieval systems are built to provide inquirers with computerized access to relevant documents. Such systems often miss many relevant documents while falsely identifying many non-relevant documents. Here, competing document descriptions are associated with a document and altered over time by a genetic algorithm according to the queries used and relevance judgments made during retrieval.
Extended Abstract
Bibtex
@article{Gordon:1988:PGA:63039.63044,
author = {Gordon, M.},
title = {Probabilistic and Genetic Algorithms in Document Retrieval},
journal = {Commun. ACM},
issue_date = {Oct. 1988},
volume = {31},
number = {10},
month = oct,
year = {1988},
issn = {0001-0782},
pages = {1208--1218},
numpages = {11},
url = {http://doi.acm.org/10.1145/63039.63044 http://de.evo-art.org/index.php?title=Probabilistic_and_genetic_algorithms_for_document_retrieval},
doi = {10.1145/63039.63044},
acmid = {63044},
publisher = {ACM},
address = {New York, NY, USA},
}
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