{"id":"https://openalex.org/W3207360442","doi":"https://doi.org/10.1145/3474085.3475706","title":"Pareto Optimality for Fairness-constrained Collaborative Filtering","display_name":"Pareto Optimality for Fairness-constrained Collaborative Filtering","publication_year":2021,"publication_date":"2021-10-17","ids":{"openalex":"https://openalex.org/W3207360442","doi":"https://doi.org/10.1145/3474085.3475706","mag":"3207360442"},"language":"en","primary_location":{"id":"doi:10.1145/3474085.3475706","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474085.3475706","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Multimedia","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/A5059820933","display_name":"Qianxiu Hao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qianxiu Hao","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences &amp; University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences &amp; University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089092566","display_name":"Qianqian Xu","orcid":"https://orcid.org/0000-0002-3512-7277"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianqian Xu","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009753955","display_name":"Zhiyong Yang","orcid":"https://orcid.org/0000-0002-4409-4999"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyong Yang","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028597017","display_name":"Qingming Huang","orcid":"https://orcid.org/0000-0001-7542-296X"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingming Huang","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences; &amp; Peng Cheng Laboratory, Beijing, China","University of Chinese Academy of Sciences","& Peng Cheng Laboratory, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences; &amp; Peng Cheng Laboratory, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038","https://openalex.org/I4210136793"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"& Peng Cheng Laboratory, Beijing, China","institution_ids":["https://openalex.org/I4210136793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5059820933"],"corresponding_institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":2.2033,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.90044296,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"5619","last_page":"5627"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9970999956130981,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9970999956130981,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9422000050544739,"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/computer-science","display_name":"Computer science","score":0.6695228815078735},{"id":"https://openalex.org/keywords/disadvantaged","display_name":"Disadvantaged","score":0.6679559350013733},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.6588735580444336},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6114322543144226},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.5541980862617493},{"id":"https://openalex.org/keywords/pareto-optimal","display_name":"Pareto optimal","score":0.5516371726989746},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.535872220993042},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5321850776672363},{"id":"https://openalex.org/keywords/fairness-measure","display_name":"Fairness measure","score":0.5217103362083435},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.47932708263397217},{"id":"https://openalex.org/keywords/constrained-optimization","display_name":"Constrained optimization","score":0.43335703015327454},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4210900664329529},{"id":"https://openalex.org/keywords/trust-region","display_name":"Trust region","score":0.4130541980266571},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.41052064299583435},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.2529718279838562},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22060829401016235},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19868579506874084},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.19277849793434143},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.11679673194885254}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6695228815078735},{"id":"https://openalex.org/C2780623907","wikidata":"https://www.wikidata.org/wiki/Q106394435","display_name":"Disadvantaged","level":2,"score":0.6679559350013733},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.6588735580444336},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6114322543144226},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.5541980862617493},{"id":"https://openalex.org/C2986314615","wikidata":"https://www.wikidata.org/wiki/Q36829","display_name":"Pareto optimal","level":3,"score":0.5516371726989746},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.535872220993042},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5321850776672363},{"id":"https://openalex.org/C11867375","wikidata":"https://www.wikidata.org/wiki/Q5430671","display_name":"Fairness measure","level":4,"score":0.5217103362083435},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.47932708263397217},{"id":"https://openalex.org/C55660270","wikidata":"https://www.wikidata.org/wiki/Q5164377","display_name":"Constrained optimization","level":2,"score":0.43335703015327454},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4210900664329529},{"id":"https://openalex.org/C89109886","wikidata":"https://www.wikidata.org/wiki/Q1535924","display_name":"Trust region","level":3,"score":0.4130541980266571},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.41052064299583435},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.2529718279838562},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22060829401016235},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19868579506874084},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19277849793434143},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.11679673194885254},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C178635117","wikidata":"https://www.wikidata.org/wiki/Q747499","display_name":"RADIUS","level":2,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"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/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3474085.3475706","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474085.3475706","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7300000190734863}],"awards":[{"id":"https://openalex.org/G72414852","display_name":null,"funder_award_id":"61931008, 61620106009, 61836002, 61976202","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1504943474","https://openalex.org/W1572469720","https://openalex.org/W1677182931","https://openalex.org/W2054141820","https://openalex.org/W2055975942","https://openalex.org/W2060727197","https://openalex.org/W2061212083","https://openalex.org/W2095705004","https://openalex.org/W2100717205","https://openalex.org/W2101409192","https://openalex.org/W2143381319","https://openalex.org/W2358178040","https://openalex.org/W2531315337","https://openalex.org/W2564125978","https://openalex.org/W2593414001","https://openalex.org/W2604961496","https://openalex.org/W2704480242","https://openalex.org/W2727285023","https://openalex.org/W2749689103","https://openalex.org/W2787991113","https://openalex.org/W2889634868","https://openalex.org/W2897955056","https://openalex.org/W2911448806","https://openalex.org/W2950173087","https://openalex.org/W2950673314","https://openalex.org/W2962851448","https://openalex.org/W2963085847","https://openalex.org/W2963189767","https://openalex.org/W2970470314","https://openalex.org/W2972510393","https://openalex.org/W2974446088","https://openalex.org/W3028722847","https://openalex.org/W3102092462","https://openalex.org/W3102518922","https://openalex.org/W3103891807","https://openalex.org/W3105035347","https://openalex.org/W4246999471","https://openalex.org/W4289548211","https://openalex.org/W4294241863","https://openalex.org/W4300482433","https://openalex.org/W6737016370"],"related_works":["https://openalex.org/W2351487514","https://openalex.org/W2392958831","https://openalex.org/W2387879781","https://openalex.org/W3020948674","https://openalex.org/W2587737421","https://openalex.org/W2393708956","https://openalex.org/W2105289772","https://openalex.org/W2010364290","https://openalex.org/W2377323308","https://openalex.org/W2357923150"],"abstract_inverted_index":{"The":[0],"well-known":[1],"collaborative":[2],"filtering":[3],"(CF)":[4],"models":[5],"typically":[6],"optimize":[7],"a":[8,29,86,144,153],"single":[9,96],"objective":[10],"summed":[11],"over":[12],"all":[13],"historical":[14],"user-item":[15],"interactions.":[16],"Due":[17],"to":[18,55,72,94,128,133,151],"inevitable":[19],"imbalances":[20],"and":[21,46,166],"biases":[22],"in":[23],"real-world":[24,167],"data,":[25],"they":[26],"may":[27,70],"develop":[28],"policy":[30],"that":[31,111,170],"unfairly":[32],"discriminates":[33],"against":[34],"certain":[35,59],"subgroups":[36],"with":[37],"low":[38],"sample":[39,115],"frequencies.":[40],"To":[41,80,138],"balance":[42],"overall":[43,186],"recommendation":[44,177],"performance":[45,60,69,74,101,160],"fairness,":[47],"prevalent":[48],"solutions":[49],"apply":[50],"fairness":[51,126],"constraints":[52,127],"or":[53],"regularizations":[54],"enforce":[56],"equality":[57,67],"of":[58,68,76,102,179],"across":[61],"different":[62],"subgroups.":[63,79],"However,":[64],"simply":[65],"enforcing":[66],"lead":[71],"large":[73],"degradation":[75],"those":[77],"advantaged":[78],"address":[81],"this":[82],"issue,":[83],"we":[84,98],"formulate":[85],"constrained":[87,141,146],"Multi-Objective":[88],"Optimization":[89],"(MOO)":[90],"problem.":[91],"In":[92],"contrast":[93],"the":[95,100,112,120,130,140,159,176,185],"objective,":[97],"treat":[99],"each":[103],"subgroup":[104,114],"equivalently":[105],"as":[106],"an":[107],"objective.":[108],"This":[109],"ensures":[110],"imbalanced":[113],"frequency":[116],"does":[117],"not":[118,183],"affect":[119],"gradient":[121],"information.":[122],"We":[123],"further":[124],"propose":[125],"limit":[129],"search":[131],"space":[132],"obtain":[134],"more":[135],"balanced":[136],"solutions.":[137],"solve":[139],"MOO":[142,147],"problem,":[143],"gradient-based":[145],"algorithm":[148],"is":[149],"proposed":[150],"seek":[152],"proper":[154],"Pareto":[155],"optimal":[156],"solution":[157],"for":[158],"trade-off.":[161],"Extensive":[162],"experiments":[163],"on":[164],"synthetic":[165],"datasets":[168],"show":[169],"our":[171],"approach":[172],"could":[173],"help":[174],"improve":[175],"accuracy":[178],"disadvantaged":[180],"groups,":[181],"while":[182],"damaging":[184],"performance.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
