{"id":"https://openalex.org/W3155690528","doi":"https://doi.org/10.1145/3404835.3462830","title":"Computationally Efficient Optimization of Plackett-Luce Ranking Models for Relevance and Fairness","display_name":"Computationally Efficient Optimization of Plackett-Luce Ranking Models for Relevance and Fairness","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3155690528","doi":"https://doi.org/10.1145/3404835.3462830","mag":"3155690528"},"language":"en","primary_location":{"id":"doi:10.1145/3404835.3462830","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3404835.3462830","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3404835.3462830","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3404835.3462830","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002072527","display_name":"Harrie Oosterhuis","orcid":"https://orcid.org/0000-0002-0458-9233"},"institutions":[{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Harrie Oosterhuis","raw_affiliation_strings":["Radboud University, Nijmegen, Netherlands"],"affiliations":[{"raw_affiliation_string":"Radboud University, Nijmegen, Netherlands","institution_ids":["https://openalex.org/I145872427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5002072527"],"corresponding_institution_ids":["https://openalex.org/I145872427"],"apc_list":null,"apc_paid":null,"fwci":13.0032,"has_fulltext":true,"cited_by_count":58,"citation_normalized_percentile":{"value":0.98362399,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1023","last_page":"1032"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10841","display_name":"Economic and Environmental Valuation","score":0.972599983215332,"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"}},"topics":[{"id":"https://openalex.org/T10841","display_name":"Economic and Environmental Valuation","score":0.972599983215332,"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"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9473999738693237,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9254999756813049,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/ranking","display_name":"Ranking (information retrieval)","score":0.8378747701644897},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6870932579040527},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6638151407241821},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6150776743888855},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5558809638023376},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5518919229507446},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.5463644862174988},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5359941720962524},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.47797533869743347},{"id":"https://openalex.org/keywords/differentiable-function","display_name":"Differentiable function","score":0.45197391510009766},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4298694431781769},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3522413969039917},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28242287039756775},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2659478783607483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22379708290100098}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.8378747701644897},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6870932579040527},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6638151407241821},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6150776743888855},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5558809638023376},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5518919229507446},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.5463644862174988},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5359941720962524},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.47797533869743347},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.45197391510009766},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4298694431781769},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3522413969039917},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28242287039756775},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2659478783607483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22379708290100098},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3404835.3462830","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3404835.3462830","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3404835.3462830","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.ubn.ru.nl:2066/244779","is_oa":false,"landing_page_url":"https://hdl.handle.net/2066/244779","pdf_url":null,"source":{"id":"https://openalex.org/S4306401067","display_name":"Radboud Repository (Radboud University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I145872427","host_organization_name":"Radboud University Nijmegen","host_organization_lineage":["https://openalex.org/I145872427"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article in monograph or in proceedings"},{"id":"pmh:ru:oai:repository.ubn.ru.nl:2066/244779","is_oa":true,"landing_page_url":"http://hdl.handle.net/2066/244779","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Diaz, F. (ed.), SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval Virtual Event Canada July 11 - 15, 2021, 1023 - 1032. New York : ACM","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1145/3404835.3462830","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3404835.3462830","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3404835.3462830","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3155690528.pdf","grobid_xml":"https://content.openalex.org/works/W3155690528.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W10548402","https://openalex.org/W43928053","https://openalex.org/W69540849","https://openalex.org/W1973435495","https://openalex.org/W1992549066","https://openalex.org/W2047221353","https://openalex.org/W2059001985","https://openalex.org/W2091158010","https://openalex.org/W2108862644","https://openalex.org/W2119717200","https://openalex.org/W2143160289","https://openalex.org/W2143331230","https://openalex.org/W2149427297","https://openalex.org/W2156541733","https://openalex.org/W2566147423","https://openalex.org/W2739916191","https://openalex.org/W2740384884","https://openalex.org/W2769473018","https://openalex.org/W2784672094","https://openalex.org/W2884475480","https://openalex.org/W2890291106","https://openalex.org/W2898073868","https://openalex.org/W2953384591","https://openalex.org/W2955669675","https://openalex.org/W2970971581","https://openalex.org/W2971071571","https://openalex.org/W2994069334","https://openalex.org/W3023202929","https://openalex.org/W3028722847","https://openalex.org/W3044556022","https://openalex.org/W3099878876","https://openalex.org/W3104474754","https://openalex.org/W3104475013","https://openalex.org/W3105035347","https://openalex.org/W3105997200","https://openalex.org/W3112511105","https://openalex.org/W3118555138","https://openalex.org/W3135277963","https://openalex.org/W4212898980","https://openalex.org/W4300482433","https://openalex.org/W4400530533","https://openalex.org/W6697648974","https://openalex.org/W6747597888"],"related_works":["https://openalex.org/W3160516639","https://openalex.org/W2895097035","https://openalex.org/W4206903459","https://openalex.org/W2754816816","https://openalex.org/W4366280654","https://openalex.org/W3160167280","https://openalex.org/W3020853991","https://openalex.org/W4362706668","https://openalex.org/W4231621013","https://openalex.org/W3171021120"],"abstract_inverted_index":{"Recent":[0],"work":[1],"has":[2,131],"proposed":[3],"stochastic":[4,43],"Plackett-Luce":[5],"(PL)":[6],"ranking":[7,40,95,123,166],"models":[8,29,121,159],"as":[9],"a":[10,84,93,132],"robust":[11],"choice":[12],"for":[13,160],"optimizing":[14],"relevance":[15,99],"and":[16,100,122,135,163],"fairness":[17,101],"metrics.":[18,102,124],"Unlike":[19,103],"their":[20],"deterministic":[21],"counterparts":[22],"that":[23,88,106,129],"require":[24],"heuristic":[25],"optimization":[26],"algorithms,":[27],"PL":[28,94,120,158],"are":[30,107],"fully":[31],"differentiable.":[32],"Theoretically,":[33],"they":[34],"can":[35],"be":[36],"used":[37],"to":[38,60,156],"optimize":[39],"metrics":[41],"via":[42,76],"gradient":[44,53,75,91],"descent.":[45],"However,":[46],"in":[47,145],"practice,":[48],"the":[49,52,74,90,116,154],"computation":[50],"of":[51,66,92,115,119],"is":[54,136],"infeasible":[55],"because":[56],"it":[57],"requires":[58],"one":[59],"iterate":[61],"over":[62],"all":[63],"possible":[64],"permutations":[65],"items.":[67],"Consequently,":[68],"actual":[69],"applications":[70],"rely":[71],"on":[72,109],"approximating":[73],"sampling":[77],"techniques.":[78],"In":[79],"this":[80],"paper,":[81],"we":[82],"introduce":[83],"novel":[85],"algorithm:":[86],"PL-Rank,":[87],"estimates":[89],"model":[96],"w.r.t.":[97],"both":[98],"existing":[104,141],"approaches":[105],"based":[108],"policy":[110,142],"gradients,":[111,143],"PL-Rank":[112,130,151],"makes":[113],"use":[114],"specific":[117],"structure":[118],"Our":[125],"experimental":[126],"analysis":[127],"shows":[128],"greater":[133],"sample-efficiency":[134],"computationally":[137],"less":[138],"costly":[139],"than":[140],"resulting":[144],"faster":[146],"convergence":[147],"at":[148],"higher":[149],"performance.":[150],"further":[152],"enables":[153],"industry":[155],"apply":[157],"more":[161],"relevant":[162],"fairer":[164],"real-world":[165],"systems.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-24T08:02:53.985720","created_date":"2025-10-10T00:00:00"}
