{"id":"https://openalex.org/W4409671447","doi":"https://doi.org/10.1145/3696410.3714528","title":"Unmasking Gender Bias in Recommendation Systems and Enhancing Category-Aware Fairness","display_name":"Unmasking Gender Bias in Recommendation Systems and Enhancing Category-Aware Fairness","publication_year":2025,"publication_date":"2025-04-22","ids":{"openalex":"https://openalex.org/W4409671447","doi":"https://doi.org/10.1145/3696410.3714528"},"language":"en","primary_location":{"id":"doi:10.1145/3696410.3714528","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714528","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714528","source":null,"license":"cc-by-nd","license_id":"https://openalex.org/licenses/cc-by-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714528","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5094272536","display_name":"Tahsin Alamgir Kheya","orcid":"https://orcid.org/0009-0001-2481-2877"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Tahsin Alamgir Kheya","raw_affiliation_strings":["Deakin University, Geelong, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Deakin University, Geelong, VIC, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018899731","display_name":"Mohamed Reda Bouadjenek","orcid":"https://orcid.org/0000-0003-1807-430X"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mohamed Reda Bouadjenek","raw_affiliation_strings":["Deakin University, Geelong, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Deakin University, Geelong, VIC, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038741954","display_name":"Sunil Aryal","orcid":"https://orcid.org/0000-0002-6639-6824"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sunil Aryal","raw_affiliation_strings":["Deakin University, Geelong, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Deakin University, Geelong, VIC, Australia","institution_ids":["https://openalex.org/I149704539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5094272536"],"corresponding_institution_ids":["https://openalex.org/I149704539"],"apc_list":null,"apc_paid":null,"fwci":15.7638,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.98661231,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"5127","last_page":"5138"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9957000017166138,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9842000007629395,"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":0.6230747699737549}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6230747699737549}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3696410.3714528","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714528","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714528","source":null,"license":"cc-by-nd","license_id":"https://openalex.org/licenses/cc-by-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2502.17921","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2502.17921","pdf_url":"https://arxiv.org/pdf/2502.17921","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:figshare.com:article/28916846","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nd","license_id":"https://openalex.org/licenses/cc-by-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference contribution"}],"best_oa_location":{"id":"doi:10.1145/3696410.3714528","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714528","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714528","source":null,"license":"cc-by-nd","license_id":"https://openalex.org/licenses/cc-by-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409671447.pdf","grobid_xml":"https://content.openalex.org/works/W4409671447.grobid-xml"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W1648303880","https://openalex.org/W1996283866","https://openalex.org/W2054141820","https://openalex.org/W2219888463","https://openalex.org/W2604961496","https://openalex.org/W2605350416","https://openalex.org/W2704480242","https://openalex.org/W2730550703","https://openalex.org/W2809878087","https://openalex.org/W2897363137","https://openalex.org/W2909212904","https://openalex.org/W2911936302","https://openalex.org/W2912638141","https://openalex.org/W2950173087","https://openalex.org/W2952517774","https://openalex.org/W2963085847","https://openalex.org/W2965074186","https://openalex.org/W2983882879","https://openalex.org/W2997538502","https://openalex.org/W3027373771","https://openalex.org/W3032340379","https://openalex.org/W3033954622","https://openalex.org/W3035446616","https://openalex.org/W3035523484","https://openalex.org/W3040516071","https://openalex.org/W3102092462","https://openalex.org/W3103741452","https://openalex.org/W3103891807","https://openalex.org/W3116873649","https://openalex.org/W3134330728","https://openalex.org/W3153182568","https://openalex.org/W3153432523","https://openalex.org/W3154833091","https://openalex.org/W3155422163","https://openalex.org/W3155476465","https://openalex.org/W3156001311","https://openalex.org/W3156200279","https://openalex.org/W3158542648","https://openalex.org/W3158897490","https://openalex.org/W3163155381","https://openalex.org/W3164446335","https://openalex.org/W3175865138","https://openalex.org/W3180187578","https://openalex.org/W3207360442","https://openalex.org/W4205438669","https://openalex.org/W4226357341","https://openalex.org/W4282027681","https://openalex.org/W4282813715","https://openalex.org/W4284677642","https://openalex.org/W4297814280","https://openalex.org/W4360765050","https://openalex.org/W4382929818","https://openalex.org/W4385768144","https://openalex.org/W4386729347","https://openalex.org/W4386729866","https://openalex.org/W4392460468","https://openalex.org/W4393855546","https://openalex.org/W4396736140","https://openalex.org/W4400525617"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Recommendation":[0],"systems":[1,56],"are":[2,43],"now":[3],"an":[4,193],"integral":[5],"part":[6],"of":[7,64,91,105,126,182],"our":[8,118,183,206,211],"daily":[9],"lives.":[10],"We":[11,163],"rely":[12],"on":[13,24,76,108,165],"them":[14],"for":[15,80,94,131,220],"tasks":[16],"such":[17,52],"as":[18,72,142],"discovering":[19],"new":[20],"movies,":[21],"finding":[22],"friends":[23],"social":[25],"media,":[26],"and":[27,50],"connecting":[28],"job":[29],"seekers":[30],"with":[31,147],"relevant":[32],"opportunities.":[33],"Given":[34],"their":[35],"vital":[36],"role,":[37],"we":[38,87,101,134],"must":[39],"ensure":[40],"these":[41],"recommendations":[42,219],"free":[44],"from":[45],"societal":[46],"stereotypes.":[47],"Therefore,":[48],"evaluating":[49,61,106,186],"addressing":[51],"biases":[53],"in":[54,98,159,185,198,218,226],"recommendation":[55,150,228],"is":[57],"crucial.":[58],"Previous":[59],"work":[60],"the":[62,103,148,160,180,216],"fairness":[63,107,140,217],"recommended":[65,127,199],"items":[66,128,200],"fails":[67],"to":[68,120,178,202],"capture":[69,121],"certain":[70],"nuances":[71],"they":[73],"mainly":[74],"focus":[75],"comparing":[77],"performance":[78],"metrics":[79,93,119,184,190],"different":[81,221],"sensitive":[82],"groups.":[83],"In":[84],"this":[85],"paper,":[86],"introduce":[88],"a":[89,109,138,143],"set":[90],"comprehensive":[92],"quantifying":[95],"gender":[96,122,187],"bias":[97,123,158,197],"recommendations.":[99],"Specifically,":[100],"show":[102,135,179],"importance":[104],"more":[110],"granular":[111],"level,":[112],"which":[113],"can":[114,154],"be":[115],"achieved":[116],"using":[117,124,169],"categories":[125,222],"like":[129],"genres":[130],"movies.":[132],"Furthermore,":[133],"that":[136],"employing":[137],"category-aware":[139],"metric":[141],"regularization":[144,212],"term":[145,213],"along":[146],"main":[149],"loss":[151],"during":[152],"training":[153],"help":[155,191],"effectively":[156],"minimize":[157],"models'":[161],"output.":[162],"experiment":[164],"three":[166],"real-world":[167],"datasets,":[168],"five":[170],"baseline":[171],"models":[172],"alongside":[173],"two":[174],"popular":[175],"fairness-aware":[176],"models,":[177],"effectiveness":[181],"bias.":[188],"Our":[189],"provide":[192],"enhanced":[194],"insight":[195],"into":[196],"compared":[201],"previous":[203],"metrics.":[204],"Additionally,":[205],"results":[207],"demonstrate":[208],"how":[209],"incorporating":[210],"significantly":[214],"improves":[215],"without":[223],"substantial":[224],"degradation":[225],"overall":[227],"performance.":[229]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}