{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,3]],"date-time":"2025-03-03T00:10:15Z","timestamp":1740960615829,"version":"3.38.0"},"reference-count":11,"publisher":"SAGE Publications","issue":"6","license":[{"start":{"date-parts":[[1997,12,1]],"date-time":"1997-12-01T00:00:00Z","timestamp":880934400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Information Science"],"published-print":{"date-parts":[[1997,12]]},"abstract":"<jats:p> We report here on preliminary work on the use of evolutionary computing techniques which aims to improve Boolean information retrieval system performance through relevance feedback. There are many evolutionary techniques in computing, such as neural networks and genetic algorithms. One specific form of genetic algorithm technique has been used in our study: that of genetic programming. Terms from relevant documents are used to randomly create Boolean queries. Boolean queries are thought of as genetic programming organisms and, as such, are used for breeding to produce new organisms. Organisms which perform well, in terms of how good they are at retrieval, are given a better chance of being selected for breeding, with the result being that the overall fitness of the organisms improve to some extent. The aim is to develop the best Boolean query for an information need, given a small corpus of test documents, and then to use that query on the full collection to retrieve yet more relevant documents. <\/jats:p>","DOI":"10.1177\/016555159702300603","type":"journal-article","created":{"date-parts":[[2004,12,18]],"date-time":"2004-12-18T01:36:35Z","timestamp":1103333795000},"page":"423-431","source":"Crossref","is-referenced-by-count":30,"title":["The use of genetic programming to build Boolean queries for text retrieval                 through relevance feedback"],"prefix":"10.1177","volume":"23","author":[{"given":"Martin P.","family":"Smith","sequence":"first","affiliation":[{"name":"National Institute of Standards and Technology, Maryland, USA"}]},{"given":"Martin","family":"Smith","sequence":"additional","affiliation":[{"name":"The University of Huddersfield, UK,"}]}],"member":"179","published-online":{"date-parts":[[1997,12,1]]},"reference":[{"key":"atypb1","first-page":"109","volume-title":"Annual Review of Information Science and Technology","author":"N.J. Belkin","year":"1987"},{"first-page":"459","volume-title":"Proceedings of the Fourth TREC Conference (TREC-4)","author":"X. Allan Lu","key":"atypb2"},{"key":"atypb3","doi-asserted-by":"publisher","DOI":"10.1108\/eb026696"},{"key":"atypb4","doi-asserted-by":"publisher","DOI":"10.1016\/0306-4573(83)90033-X"},{"volume-title":"The SMART Retrieval System: Experiments in Automatic Document Processing","year":"1971","author":"G. Salton","key":"atypb5"},{"volume-title":"Genetic Programming: On the Programming of Computers by Means of Natural Selection and Genetics","year":"1992","author":"R.J. Koza","key":"atypb6"},{"volume-title":"Proceedings of the 17th BCS IRSG Colloquium on Information Retrieval","author":"M. Smith","key":"atypb7"},{"key":"atypb7","first-page":"101","volume":"1","year":"1995","journal-title":"New Review of Documents and Text Management"},{"first-page":"468","volume-title":"First IEEE Conference on Evolutionary Computation","author":"D.H. Kraft","key":"atypb8"},{"first-page":"122","volume-title":"IEEE Symposium on Evolutionary Computing","author":"F.E. Petry","key":"atypb9"},{"first-page":"142","volume-title":"Proceedings of the 17th ACM SIGIR Conference","author":"M. Sanderson","key":"atypb10"}],"container-title":["Journal of Information Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/016555159702300603","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/016555159702300603","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,2]],"date-time":"2025-03-02T23:28:20Z","timestamp":1740958100000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/016555159702300603"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1997,12]]},"references-count":11,"journal-issue":{"issue":"6","published-print":{"date-parts":[[1997,12]]}},"alternative-id":["10.1177\/016555159702300603"],"URL":"https:\/\/doi.org\/10.1177\/016555159702300603","relation":{},"ISSN":["0165-5515","1741-6485"],"issn-type":[{"type":"print","value":"0165-5515"},{"type":"electronic","value":"1741-6485"}],"subject":[],"published":{"date-parts":[[1997,12]]}}}