{"id":"https://openalex.org/W4284713500","doi":"https://doi.org/10.1145/3477495.3531718","title":"Experiments on Generalizability of User-Oriented Fairness in Recommender Systems","display_name":"Experiments on Generalizability of User-Oriented Fairness in Recommender Systems","publication_year":2022,"publication_date":"2022-07-06","ids":{"openalex":"https://openalex.org/W4284713500","doi":"https://doi.org/10.1145/3477495.3531718"},"language":"en","primary_location":{"id":"doi:10.1145/3477495.3531718","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477495.3531718","pdf_url":null,"source":{"id":"https://openalex.org/S4363608773","display_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 45th 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/A5044972686","display_name":"Hossein A. Rahmani","orcid":"https://orcid.org/0000-0002-2779-4942"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Hossein A. Rahmani","raw_affiliation_strings":["University College London, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University College London, London, United Kingdom","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034477887","display_name":"Mohammadmehdi Naghiaei","orcid":"https://orcid.org/0000-0003-1667-2779"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammadmehdi Naghiaei","raw_affiliation_strings":["University of Southern California, California, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California, California, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103108861","display_name":"Mahdi Dehghan","orcid":"https://orcid.org/0000-0001-8843-4652"},"institutions":[{"id":"https://openalex.org/I48379061","display_name":"Shahid Beheshti University","ror":"https://ror.org/0091vmj44","country_code":"IR","type":"education","lineage":["https://openalex.org/I48379061"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mahdi Dehghan","raw_affiliation_strings":["Shahid Beheshti University, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Shahid Beheshti University, Tehran, Iran","institution_ids":["https://openalex.org/I48379061"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063466614","display_name":"Mohammad Aliannejadi","orcid":"https://orcid.org/0000-0002-9447-4172"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]},{"id":"https://openalex.org/I4210135670","display_name":"Amsterdam University of the Arts","ror":"https://ror.org/04dde1554","country_code":"NL","type":"education","lineage":["https://openalex.org/I4210135670"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Mohammad Aliannejadi","raw_affiliation_strings":["University of Amsterdam, Amsterdam, Netherlands"],"affiliations":[{"raw_affiliation_string":"University of Amsterdam, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I4210135670","https://openalex.org/I887064364"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5044972686"],"corresponding_institution_ids":["https://openalex.org/I45129253"],"apc_list":null,"apc_paid":null,"fwci":4.8308,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.96138996,"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":"2755","last_page":"2764"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9860000014305115,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9309999942779541,"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/computer-science","display_name":"Computer science","score":0.8611242771148682},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7833983898162842},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7244725823402405},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.5761567950248718},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.48036250472068787},{"id":"https://openalex.org/keywords/disadvantaged","display_name":"Disadvantaged","score":0.4701417088508606},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4480326175689697},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.4391229450702667},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.4167678952217102},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36632204055786133}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8611242771148682},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7833983898162842},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7244725823402405},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.5761567950248718},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.48036250472068787},{"id":"https://openalex.org/C2780623907","wikidata":"https://www.wikidata.org/wiki/Q106394435","display_name":"Disadvantaged","level":2,"score":0.4701417088508606},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4480326175689697},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.4391229450702667},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.4167678952217102},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36632204055786133},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3477495.3531718","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477495.3531718","pdf_url":null,"source":{"id":"https://openalex.org/S4363608773","display_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:dare.uva.nl:openaire_cris_publications/f6c619db-a486-4667-9496-8ecf5ae3f013","is_oa":false,"landing_page_url":"https://handle.uba.uva.nl/personal/pure/en/publications/experiments-on-generalizability-of-useroriented-fairness-in-recommender-systems(f6c619db-a486-4667-9496-8ecf5ae3f013).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Rahmani, H A, Naghiaei, M, Dehghan, M & Aliannejadi, M 2022, Experiments on Generalizability of User-Oriented Fairness in Recommender Systems. in SIGIR '22 : proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 11-15, 2022, Madrid, Spain. New York, NY, pp. 2755-2764, 45th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2022, Madrid, Spain, 11/07/22. https://doi.org/10.1145/3477495.3531718","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:dare.uva.nl:publications/f6c619db-a486-4667-9496-8ecf5ae3f013","is_oa":false,"landing_page_url":"https://hdl.handle.net/11245.1/f6c619db-a486-4667-9496-8ecf5ae3f013","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Rahmani, H A, Naghiaei, M, Dehghan, M & Aliannejadi, M 2022, Experiments on Generalizability of User-Oriented Fairness in Recommender Systems. in SIGIR '22 : proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 11-15, 2022, Madrid, Spain. New York, NY, pp. 2755-2764, 45th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2022, Madrid, Spain, 11/07/22. https://doi.org/10.1145/3477495.3531718","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1593806347","https://openalex.org/W2027731328","https://openalex.org/W2101409192","https://openalex.org/W2133266261","https://openalex.org/W2155912844","https://openalex.org/W2605350416","https://openalex.org/W2728796024","https://openalex.org/W2748058847","https://openalex.org/W2911802745","https://openalex.org/W2950344037","https://openalex.org/W2957191877","https://openalex.org/W2963085847","https://openalex.org/W2963189767","https://openalex.org/W2973094059","https://openalex.org/W2973172293","https://openalex.org/W2997398218","https://openalex.org/W3012903288","https://openalex.org/W3017158675","https://openalex.org/W3088329504","https://openalex.org/W3094546485","https://openalex.org/W3105114834","https://openalex.org/W3115487106","https://openalex.org/W3134330728","https://openalex.org/W3135583098","https://openalex.org/W3153182568","https://openalex.org/W3153906321","https://openalex.org/W3155877950","https://openalex.org/W3156001311","https://openalex.org/W3163155381","https://openalex.org/W3164238513","https://openalex.org/W3164446335","https://openalex.org/W3175865138","https://openalex.org/W3197548413","https://openalex.org/W3207360442","https://openalex.org/W4213170381","https://openalex.org/W4251597219","https://openalex.org/W4284677642","https://openalex.org/W4297971002"],"related_works":["https://openalex.org/W2118717649","https://openalex.org/W410723623","https://openalex.org/W2413243053","https://openalex.org/W2015341305","https://openalex.org/W4225593417","https://openalex.org/W2035068594","https://openalex.org/W2573498121","https://openalex.org/W3022298670","https://openalex.org/W3160494304","https://openalex.org/W1549477351"],"abstract_inverted_index":{"Recent":[0],"work":[1,31],"in":[2,9,158,180,208],"recommender":[3,21],"systems":[4],"mainly":[5],"focuses":[6],"on":[7,32,50,64,105,222],"fairness":[8,34,60,91,107,185],"recommendations":[10,17,130],"as":[11],"an":[12],"important":[13,202],"aspect":[14],"of":[15,39,66,101,116,160,171,183,193],"measuring":[16],"quality.":[18],"A":[19],"fairness-aware":[20],"system":[22],"aims":[23],"to":[24,71,97],"treat":[25],"different":[26,161],"user":[27,46,79,122,174],"groups":[28,175],"similarly.":[29],"Relevant":[30],"user-oriented":[33,90],"highlights":[35],"the":[36,99,112,117,128,133,155,169,172,181,184,191,213,218],"discriminant":[37],"behavior":[38,75],"fairness-unaware":[40],"recommendation":[41,109,113],"algorithms":[42],"towards":[43,76],"a":[44,58,67,77,89,177],"certain":[45,78],"group,":[47],"defined":[48],"based":[49],"users'":[51],"activity":[52],"level.":[53],"Typical":[54],"solutions":[55],"include":[56],"proposing":[57],"user-centered":[59],"re-ranking":[61,134],"framework":[62,135],"applied":[63],"top":[65],"base":[68,118,195],"ranking":[69,119,196],"model":[70],"mitigate":[72],"its":[73],"unfair":[74],"group":[80],"i.e.,":[81],"disadvantaged":[82],"group.":[83],"In":[84],"this":[85,209],"paper,":[86],"we":[87,126,166,199],"re-produce":[88],"study":[92],"and":[93,108,121,142,152,187,205,217],"provide":[94],"extensive":[95],"experiments":[96],"analyze":[98],"dependency":[100],"their":[102],"proposed":[103],"method":[104],"various":[106],"aspects,":[110],"including":[111],"domain,":[114],"nature":[115],"model,":[120],"grouping":[123],"method.":[124],"Moreover,":[125],"evaluate":[127],"final":[129],"provided":[131],"by":[132],"from":[136],"both":[137],"user-":[138],"(e.g.,":[139,144],"NDCG,":[140],"user-fairness)":[141],"item-side":[143],"novelty,":[145],"item-fairness)":[146],"metrics.":[147,163],"We":[148,211],"discover":[149],"interesting":[150],"trends":[151],"trade-offs":[153],"between":[154],"model's":[156],"performance":[157,192],"terms":[159],"evaluation":[162,215],"For":[164],"instance,":[165],"see":[167],"that":[168],"definition":[170],"advantaged/disadvantaged":[173],"plays":[176],"crucial":[178],"role":[179],"effectiveness":[182],"algorithm":[186],"how":[188],"it":[189],"improves":[190],"specific":[194],"models.":[197],"Finally,":[198],"highlight":[200],"some":[201],"open":[203],"challenges":[204],"future":[206],"directions":[207],"field.":[210],"release":[212],"data,":[214],"pipeline,":[216],"trained":[219],"models":[220],"publicly":[221],"https://github.com/rahmanidashti/FairRecSys.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-15T09:29:46.208133","created_date":"2025-10-10T00:00:00"}
