乐胖代购免代理版

{"id":"https://openalex.org/W3155713313","doi":"https://doi.org/10.1016/j.ins.2021.04.034","title":"A highly scalable algorithm for weak rankings aggregation","display_name":"A highly scalable algorithm for weak rankings aggregation","publication_year":2021,"publication_date":"2021-04-21","ids":{"openalex":"https://openalex.org/W3155713313","doi":"https://doi.org/10.1016/j.ins.2021.04.034","mag":"3155713313"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ins.2021.04.034","pdf_url":null,"source":{"id":"https://openalex.org/S192650101","display_name":"Information Sciences","issn_l":"0020-0255","issn":["0020-0255","1872-6291"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.ins.2021.04.034","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054628996","display_name":"Juan A. Aledo","orcid":"https://orcid.org/0000-0003-1786-8087"},"institutions":[{"id":"https://openalex.org/I79189158","display_name":"University of Castilla-La Mancha","ror":"https://ror.org/05r78ng12","country_code":"ES","type":"funder","lineage":["https://openalex.org/I79189158"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Juan A. Aledo","raw_affiliation_strings":["Departamento de Matem\u00e1ticas, Universidad de Castilla-La Mancha, Albacete 02071, Spain"],"affiliations":[{"raw_affiliation_string":"Departamento de Matem\u00e1ticas, Universidad de Castilla-La Mancha, Albacete 02071, Spain","institution_ids":["https://openalex.org/I79189158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047912788","display_name":"Jos\u00e9 A. G\u00e1mez","orcid":"https://orcid.org/0000-0003-1188-1117"},"institutions":[{"id":"https://openalex.org/I79189158","display_name":"University of Castilla-La Mancha","ror":"https://ror.org/05r78ng12","country_code":"ES","type":"funder","lineage":["https://openalex.org/I79189158"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jos\u00e9 A. G\u00e1mez","raw_affiliation_strings":["Departamento de Sistemas Inform\u00e1ticos, Universidad de Castilla-La Mancha, Albacete 02071, Spain"],"affiliations":[{"raw_affiliation_string":"Departamento de Sistemas Inform\u00e1ticos, Universidad de Castilla-La Mancha, Albacete 02071, Spain","institution_ids":["https://openalex.org/I79189158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102978153","display_name":"Alejandro Rosete Su\u00e1rez","orcid":"https://orcid.org/0000-0002-4579-3556"},"institutions":[{"id":"https://openalex.org/I908025542","display_name":"Polytechnic Jos\u00e9 Antonio Echeverr\u00eda","ror":"https://ror.org/0573cnq15","country_code":"CU","type":"education","lineage":["https://openalex.org/I908025542"]}],"countries":["CU"],"is_corresponding":false,"raw_author_name":"Alejandro Rosete","raw_affiliation_strings":["Universidad Tecnol\u00f3gica de la Habana Jos\u00e9 Antonio Echeverr\u00eda (Cujae), Marianao, 19390 Havana, Cuba"],"affiliations":[{"raw_affiliation_string":"Universidad Tecnol\u00f3gica de la Habana Jos\u00e9 Antonio Echeverr\u00eda (Cujae), Marianao, 19390 Havana, Cuba","institution_ids":["https://openalex.org/I908025542"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5054628996"],"corresponding_institution_ids":["https://openalex.org/I79189158"],"apc_list":{"value":3330,"currency":"USD","value_usd":3330},"apc_paid":{"value":3330,"currency":"USD","value_usd":3330},"fwci":2.243,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.999943,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":92,"max":93},"biblio":{"volume":"570","issue":null,"first_page":"144","last_page":"171"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.9977,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12288","display_name":"Optimization and Search Problems","score":0.9977,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11182","display_name":"Auction Theory and Applications","score":0.9959,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10991","display_name":"Game Theory and Voting Systems","score":0.995,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7032721},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4655232}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8143045},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7774294},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7032721},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.69312376},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.6426896},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.6269208},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.6215857},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.55981725},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.55238646},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4982345},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.49092582},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4747601},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4655232},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.44063544},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37780964},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23388353},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14252895},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11524251},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ins.2021.04.034","pdf_url":null,"source":{"id":"https://openalex.org/S192650101","display_name":"Information Sciences","issn_l":"0020-0255","issn":["0020-0255","1872-6291"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ins.2021.04.034","pdf_url":null,"source":{"id":"https://openalex.org/S192650101","display_name":"Information Sciences","issn_l":"0020-0255","issn":["0020-0255","1872-6291"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.49}],"grants":[{"funder":"https://openalex.org/F4320327216","funder_display_name":"Junta de Comunidades de Castilla-La Mancha","award_id":null},{"funder":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n","award_id":null}],"datasets":[],"versions":[],"referenced_works_count":52,"referenced_works":["https://openalex.org/W1437742013","https://openalex.org/W1502125971","https://openalex.org/W178407265","https://openalex.org/W1968634175","https://openalex.org/W1968917429","https://openalex.org/W1971005895","https://openalex.org/W1971472788","https://openalex.org/W1973770389","https://openalex.org/W1998567555","https://openalex.org/W2000851114","https://openalex.org/W2003616327","https://openalex.org/W2004617458","https://openalex.org/W2020400482","https://openalex.org/W2025887164","https://openalex.org/W2036910311","https://openalex.org/W2037166173","https://openalex.org/W2039568841","https://openalex.org/W2051834357","https://openalex.org/W2071698610","https://openalex.org/W2107853397","https://openalex.org/W2111629426","https://openalex.org/W2134297689","https://openalex.org/W2139816113","https://openalex.org/W2140897975","https://openalex.org/W2150107436","https://openalex.org/W2153335797","https://openalex.org/W2158856152","https://openalex.org/W2169347424","https://openalex.org/W2170566678","https://openalex.org/W2264681986","https://openalex.org/W2321316659","https://openalex.org/W2397580213","https://openalex.org/W2416400532","https://openalex.org/W2465547404","https://openalex.org/W2476919546","https://openalex.org/W2481151430","https://openalex.org/W2492271620","https://openalex.org/W2497663052","https://openalex.org/W2562703594","https://openalex.org/W2563497845","https://openalex.org/W2582225880","https://openalex.org/W2588105310","https://openalex.org/W2603527563","https://openalex.org/W2625966074","https://openalex.org/W2745739893","https://openalex.org/W2798198862","https://openalex.org/W2799381231","https://openalex.org/W2802006459","https://openalex.org/W2802314900","https://openalex.org/W2901570260","https://openalex.org/W2914959486","https://openalex.org/W4230906437"],"related_works":["https://openalex.org/W927337369","https://openalex.org/W4319430205","https://openalex.org/W3198265738","https://openalex.org/W3160516639","https://openalex.org/W3121711078","https://openalex.org/W2362374543","https://openalex.org/W2353068449","https://openalex.org/W2348196682","https://openalex.org/W2116295091","https://openalex.org/W2095055219"],"abstract_inverted_index":{"The":[0,78,154],"Optimal":[1],"Bucket":[2],"Order":[3],"Problem":[4],"(OBOP)":[5],"is":[6,60,162,181],"a":[7,15,22,95,104],"rank":[8],"aggregation":[9],"problem":[10],"which":[11,112],"consists":[12],"in":[13,37,67,166],"finding":[14],"consensus":[16],"ranking":[17],"(with":[18],"ties)":[19],"that":[20,114,159],"generalizes":[21],"set":[23],"of":[24,33,72,98,108,116,136,146,168],"input":[25],"rankings.":[26],"In":[27],"this":[28],"paper,":[29],"with":[30,84,170,177],"the":[31,35,57,63,68,85,91,109,117,121,129,137,141,144,147,171,178],"aim":[32],"solving":[34,90],"OBOP":[36,92],"an":[38],"efficient":[39],"and":[40,52,133,184],"scalable":[41],"way,":[42],"we":[43,102],"propose":[44],"several":[45,115],"greedy":[46,87,124],"algorithms":[47,88,119,138],"based":[48,61],"on":[49,62],"different":[50],"sort-first":[51],"cluster-second":[53],"strategies.":[54],"More":[55],"specifically,":[56],"sorting":[58],"step":[59],"Borda":[64],"method,":[65],"whereas":[66],"cluster":[69],"step,":[70],"pairs":[71],"adjacent":[73],"buckets":[74],"are":[75,81],"suitably":[76],"joined.":[77],"proposed":[79,118],"methods":[80],"experimentally":[82],"compared":[83],"state-of-the-art":[86,123,172],"for":[89,150,175],"by":[93],"using":[94],"large":[96],"benchmark":[97],"real-world":[99],"databases.":[100],"Furthermore,":[101],"provide":[103],"complete":[105],"statistical":[106],"analysis":[107],"experimental":[110],"study,":[111],"shows":[113,158],"outperform":[120],"current":[122],"algorithms.":[125],"We":[126],"also":[127,182],"analyze":[128],"trade-off":[130],"between":[131],"accuracy":[132,169],"execution":[134],"time":[135],"to":[139],"guide":[140],"users":[142],"regarding":[143],"selection":[145],"best":[148],"option":[149],"each":[151],"particular":[152],"case.":[153],"study":[155],"carried":[156],"out":[157],"our":[160],"proposal":[161],"not":[163],"only":[164],"competitive":[165],"terms":[167],"evolutionary":[173],"strategy":[174],"dealing":[176],"OBOP,":[179],"but":[180],"fast":[183],"scalable.":[185]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3155713313","counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2025-04-20T22:17:38.811539","created_date":"2021-04-26"}