{"id":"https://openalex.org/W2028250954","doi":"https://doi.org/10.1108/eb026717","title":"THE ESTIMATION OF TERM RELEVANCE WEIGHTS USING RELEVANCE FEEDBACK","display_name":"THE ESTIMATION OF TERM RELEVANCE WEIGHTS USING RELEVANCE FEEDBACK","publication_year":1981,"publication_date":"1981-04-01","ids":{"openalex":"https://openalex.org/W2028250954","doi":"https://doi.org/10.1108/eb026717","mag":"2028250954"},"language":"en","primary_location":{"id":"doi:10.1108/eb026717","is_oa":false,"landing_page_url":"https://doi.org/10.1108/eb026717","pdf_url":null,"source":{"id":"https://openalex.org/S10082577","display_name":"Journal of Documentation","issn_l":"0022-0418","issn":["0022-0418","1758-7379"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Documentation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044669489","display_name":"Harry Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"HARRY WU","raw_affiliation_strings":["Department of Computer Science, Cornell University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Cornell University","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109936506","display_name":"Gerard Salton","orcid":null},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"GERARD SALTON","raw_affiliation_strings":["Department of Computer Science, Cornell University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Cornell University","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5044669489"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":10.0626,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.97786076,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"37","issue":"4","first_page":"194","last_page":"214"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.892784595489502},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.7876757979393005},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.7648149728775024},{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.7046521902084351},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6563683748245239},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6451155543327332},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6215637922286987},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4330568313598633},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4121239185333252},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1880647838115692},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.08053421974182129}],"concepts":[{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.892784595489502},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7876757979393005},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.7648149728775024},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.7046521902084351},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6563683748245239},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6451155543327332},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6215637922286987},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4330568313598633},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4121239185333252},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1880647838115692},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.08053421974182129},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/eb026717","is_oa":false,"landing_page_url":"https://doi.org/10.1108/eb026717","pdf_url":null,"source":{"id":"https://openalex.org/S10082577","display_name":"Journal of Documentation","issn_l":"0022-0418","issn":["0022-0418","1758-7379"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Documentation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6000000238418579}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W65608117","https://openalex.org/W1966365186","https://openalex.org/W1966880694","https://openalex.org/W1970095591","https://openalex.org/W1998041663","https://openalex.org/W2017917301","https://openalex.org/W2022516005","https://openalex.org/W2026937586","https://openalex.org/W2043909051","https://openalex.org/W2072804212","https://openalex.org/W2076690132","https://openalex.org/W2102046030","https://openalex.org/W2107605823","https://openalex.org/W2144211451","https://openalex.org/W2156502285"],"related_works":["https://openalex.org/W1986056603","https://openalex.org/W2276271130","https://openalex.org/W1971071004","https://openalex.org/W2009716188","https://openalex.org/W1518380457","https://openalex.org/W2001985945","https://openalex.org/W1973132420","https://openalex.org/W1921936017","https://openalex.org/W2078482661","https://openalex.org/W2017917301"],"abstract_inverted_index":{"The":[0,124],"term":[1,55,93,130],"relevance":[2,19,56,67,94,104,131],"weighting":[3],"method":[4,51],"has":[5],"been":[6],"shown":[7],"to":[8,76,127,142],"produce":[9],"optimal":[10],"information":[11,59],"retrieval":[12],"queries":[13],"under":[14],"well\u2010defined":[15],"conditions.":[16],"Unfortunately,":[17],"the":[18,25,31,35,38,54,86,103,109,113,116,129,144,147],"weights":[20,57,89,98,132],"cannot":[21],"be":[22],"determined":[23],"in":[24,37,61,115,135],"absence":[26],"of":[27,30,34,43,112,146],"accurate":[28],"knowledge":[29],"occurrence":[32,110],"frequencies":[33,111],"terms":[36,114],"relevant":[39],"and":[40,137],"non\u2010relevant":[41],"documents":[42,118],"a":[44,49],"collection.":[45],"This":[46],"study":[47],"presents":[48],"realistic":[50],"for":[52,69,84],"estimating":[53],"from":[58,120],"derived":[60],"an":[62,121],"interactive":[63],"search":[64],"environment":[65],"where":[66],"assessments":[68],"previously":[70],"retrieved":[71,117],"items":[72],"are":[73,82,99,133],"used":[74,126],"later":[75],"construct":[77,128],"improved":[78],"query":[79,88],"statements.":[80],"Procedures":[81],"introduced":[83],"constructing":[85],"initial":[87,97],"by":[90,107],"using":[91],"estimated":[92],"factors.":[95],"These":[96],"then":[100],"modified":[101],"during":[102],"feedback":[105],"process":[106],"utilizing":[108],"obtained":[119],"earlier":[122],"search.":[123],"procedures":[125],"covered":[134],"detail,":[136],"experimental":[138],"output":[139],"is":[140],"included":[141],"illustrate":[143],"effectiveness":[145],"methods.":[148]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}