{"id":"https://openalex.org/W1973500996","doi":"https://doi.org/10.1145/1277741.1277810","title":"A combined component approach for finding collection-adapted ranking functions based on genetic programming","display_name":"A combined component approach for finding collection-adapted ranking functions based on genetic programming","publication_year":2007,"publication_date":"2007-07-23","ids":{"openalex":"https://openalex.org/W1973500996","doi":"https://doi.org/10.1145/1277741.1277810","mag":"1973500996"},"language":"en","primary_location":{"id":"doi:10.1145/1277741.1277810","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1277741.1277810","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-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/A5091689931","display_name":"Humberto Mossri de Almeida","orcid":null},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Humberto Mossri de Almeida","raw_affiliation_strings":["Federal University of Minas Gerais, Belo Horizonte, Brazil","Federal University of Minas Gerais, Belo Horizonte; Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Minas Gerais, Belo Horizonte, Brazil","institution_ids":["https://openalex.org/I110200422"]},{"raw_affiliation_string":"Federal University of Minas Gerais, Belo Horizonte; Brazil","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046370637","display_name":"Marcos Andr\u00e9 Gon\u00e7alves","orcid":"https://orcid.org/0000-0002-2075-3363"},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marcos Andr\u00e9 Gon\u00e7alves","raw_affiliation_strings":["Federal University of Minas Gerais, Belo Horizonte, Brazil","Federal University of Minas Gerais, Belo Horizonte; Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Minas Gerais, Belo Horizonte, Brazil","institution_ids":["https://openalex.org/I110200422"]},{"raw_affiliation_string":"Federal University of Minas Gerais, Belo Horizonte; Brazil","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015927757","display_name":"Marco Cristo","orcid":"https://orcid.org/0000-0001-8948-4192"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marco Cristo","raw_affiliation_strings":["FUCAPI - Analysis, Research and Tech. Innovation Center, Manaus, Brazil"],"affiliations":[{"raw_affiliation_string":"FUCAPI - Analysis, Research and Tech. Innovation Center, Manaus, Brazil","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011911239","display_name":"P\u00e1vel Calado","orcid":"https://orcid.org/0000-0001-6478-229X"},"institutions":[{"id":"https://openalex.org/I121345201","display_name":"Instituto de Engenharia de Sistemas e Computadores Investiga\u00e7\u00e3o e Desenvolvimento","ror":"https://ror.org/04mqy3p58","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I121345201","https://openalex.org/I4210125590"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"P\u00e1vel Calado","raw_affiliation_strings":["IST/INESC-ID, Lisboa, Portugal","IST/INESC-ID Lisboa, Portugal#TAB#"],"affiliations":[{"raw_affiliation_string":"IST/INESC-ID, Lisboa, Portugal","institution_ids":["https://openalex.org/I121345201"]},{"raw_affiliation_string":"IST/INESC-ID Lisboa, Portugal#TAB#","institution_ids":["https://openalex.org/I121345201"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5091689931"],"corresponding_institution_ids":["https://openalex.org/I110200422"],"apc_list":null,"apc_paid":null,"fwci":12.6696,"has_fulltext":false,"cited_by_count":77,"citation_normalized_percentile":{"value":0.98598329,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"399","last_page":"406"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.996999979019165,"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"}},"topics":[{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.996999979019165,"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"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9833999872207642,"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"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9799000024795532,"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/genetic-programming","display_name":"Genetic programming","score":0.8194609880447388},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6851202845573425},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.641915500164032},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6183274984359741},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.6020517349243164},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.5682684183120728},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5135440826416016},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5129689574241638},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4659949541091919},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4190024137496948},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18045279383659363},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13558968901634216}],"concepts":[{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.8194609880447388},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6851202845573425},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.641915500164032},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6183274984359741},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6020517349243164},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.5682684183120728},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5135440826416016},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5129689574241638},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4659949541091919},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4190024137496948},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18045279383659363},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13558968901634216},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1277741.1277810","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1277741.1277810","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W116688291","https://openalex.org/W129655323","https://openalex.org/W191231183","https://openalex.org/W1482214997","https://openalex.org/W1492713888","https://openalex.org/W1529388454","https://openalex.org/W1546195864","https://openalex.org/W1554385128","https://openalex.org/W1557757161","https://openalex.org/W1576818901","https://openalex.org/W1587004086","https://openalex.org/W1591855329","https://openalex.org/W1598424196","https://openalex.org/W1660390307","https://openalex.org/W1965657003","https://openalex.org/W1978394996","https://openalex.org/W1984349431","https://openalex.org/W2000569744","https://openalex.org/W2012327829","https://openalex.org/W2020088675","https://openalex.org/W2020237802","https://openalex.org/W2023613961","https://openalex.org/W2043909051","https://openalex.org/W2081079967","https://openalex.org/W2102882034","https://openalex.org/W2154800598","https://openalex.org/W2160484851","https://openalex.org/W2170907675","https://openalex.org/W2621280964","https://openalex.org/W2917706499","https://openalex.org/W4234200495","https://openalex.org/W6628905179","https://openalex.org/W6632942987","https://openalex.org/W6635083746","https://openalex.org/W6637101025","https://openalex.org/W6646522093"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2040545019","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W4206560911"],"abstract_inverted_index":{"In":[0,41],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,60],"new":[6],"method":[7],"to":[8,43,78,100,128,142],"discover":[9],"collection-adapted":[10],"ranking":[11,39],"functions":[12],"based":[13,23,54],"on":[14,24,55,64],"Genetic":[15],"Programming":[16],"(GP).":[17],"Our":[18],"Combined":[19],"Component":[20],"Approach":[21],"(CCA)is":[22],"the":[25,46,103,109,118,130,146],"combination":[26],"of":[27,59],"several":[28],"term-weighting":[29],"components":[30],"(i.e.,term":[31],"frequency,":[32,34],"collection":[33,111],"normalization)":[35],"extracted":[36],"from":[37],"well-known":[38],"functions.":[40,120],"contrast":[42],"related":[44],"work,":[45],"GP":[47],"terminals":[48],"in":[49,88,95,134],"our":[50,74],"CCA":[51,92,122],"are":[52],"not":[53],"simple":[56],"statistical":[57],"information":[58],"document":[61],"collection,":[62,105],"but":[63],"meaningful,":[65],"effective,":[66],"and":[67,84,106,141],"proven":[68],"components.":[69],"Experimental":[70],"results":[71],"show":[72],"that":[73],"approach":[75,87,149],"was":[76,126],"able":[77,127],"outper":[79],"form":[80],"standard":[81],"TF-IDF,":[82],"BM25":[83],"another":[85],"GP-based":[86,148],"two":[89],"different":[90],"collections.":[91],"obtained":[93],"improvements":[94],"mean":[96],"average":[97],"precision":[98],"up":[99],"40.87%":[101],"for":[102,108,151],"TREC-8":[104],"24.85%":[107],"WBR99":[110],"(a":[112],"large":[113],"Brazilian":[114],"Web":[115],"collection),":[116],"over":[117],"baseline":[119],"The":[121],"evolution":[123],"process":[124],"also":[125],"reduce":[129],"overtraining,":[131],"commonly":[132],"found":[133],"machine":[135],"learning":[136],"methods,":[137],"especially":[138],"genetic":[139],"programming,":[140],"converge":[143],"faster":[144],"than":[145],"other":[147],"used":[150],"comparison.":[152]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}