{"id":"https://openalex.org/W4392910965","doi":"https://doi.org/10.1145/3652854","title":"Distributional Fairness-aware Recommendation","display_name":"Distributional Fairness-aware Recommendation","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392910965","doi":"https://doi.org/10.1145/3652854"},"language":"en","primary_location":{"id":"doi:10.1145/3652854","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3652854","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-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/A5101551028","display_name":"Hao Yang","orcid":"https://orcid.org/0009-0008-5365-897X"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hao Yang","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100352418","display_name":"Xian Wu","orcid":"https://orcid.org/0000-0003-1118-9710"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian Wu","raw_affiliation_strings":["Tencent Youtu Lab, Jarvis Research Center, Tencent, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Youtu Lab, Jarvis Research Center, Tencent, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062726606","display_name":"Zhaopeng Qiu","orcid":"https://orcid.org/0000-0001-8622-2402"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaopeng Qiu","raw_affiliation_strings":["Tencent Youtu Lab, Jarvis Research Center, Tencent, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Youtu Lab, Jarvis Research Center, Tencent, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051649145","display_name":"Yefeng Zheng","orcid":"https://orcid.org/0000-0003-2195-2847"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yefeng Zheng","raw_affiliation_strings":["Tencent Youtu Lab, Jarvis Research Center, Tencent, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent Youtu Lab, Jarvis Research Center, Tencent, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101755392","display_name":"Xu Chen","orcid":"https://orcid.org/0000-0003-0144-1775"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Chen","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101551028"],"corresponding_institution_ids":["https://openalex.org/I78988378"],"apc_list":null,"apc_paid":null,"fwci":4.5806,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.94675862,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"42","issue":"5","first_page":"1","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9951000213623047,"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":0.9886999726295471,"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":0.5246220827102661},{"id":"https://openalex.org/keywords/fairness-measure","display_name":"Fairness measure","score":0.4118540585041046},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0629984438419342}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5246220827102661},{"id":"https://openalex.org/C11867375","wikidata":"https://www.wikidata.org/wiki/Q5430671","display_name":"Fairness measure","level":4,"score":0.4118540585041046},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0629984438419342},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3652854","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3652854","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2376276132","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2802911279","display_name":null,"funder_award_id":"Young","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3744313044","display_name":null,"funder_award_id":"Social","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4489811625","display_name":null,"funder_award_id":"201910","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G639102501","display_name":null,"funder_award_id":"62102420","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8740608253","display_name":null,"funder_award_id":"6210242","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8955107213","display_name":null,"funder_award_id":"Major","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320316083","display_name":"Tencent","ror":"https://ror.org/00hhjss72"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322499","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":85,"referenced_works":["https://openalex.org/W1995137594","https://openalex.org/W2054141820","https://openalex.org/W2069870183","https://openalex.org/W2125865219","https://openalex.org/W2130354913","https://openalex.org/W2170413097","https://openalex.org/W2604961496","https://openalex.org/W2605350416","https://openalex.org/W2617214882","https://openalex.org/W2618825949","https://openalex.org/W2749689103","https://openalex.org/W2783944588","https://openalex.org/W2788241675","https://openalex.org/W2798294275","https://openalex.org/W2798868970","https://openalex.org/W2888161220","https://openalex.org/W2897167574","https://openalex.org/W2897363137","https://openalex.org/W2897955056","https://openalex.org/W2911936302","https://openalex.org/W2923622379","https://openalex.org/W2942874577","https://openalex.org/W2950695840","https://openalex.org/W2963446520","https://openalex.org/W2964268978","https://openalex.org/W2971251505","https://openalex.org/W2972758308","https://openalex.org/W2989872778","https://openalex.org/W2990751682","https://openalex.org/W3005026984","https://openalex.org/W3024124733","https://openalex.org/W3035446616","https://openalex.org/W3035447285","https://openalex.org/W3035523484","https://openalex.org/W3045200674","https://openalex.org/W3080693863","https://openalex.org/W3096831136","https://openalex.org/W3101834264","https://openalex.org/W3102415183","https://openalex.org/W3106346154","https://openalex.org/W3115164309","https://openalex.org/W3115572006","https://openalex.org/W3122812581","https://openalex.org/W3126453897","https://openalex.org/W3127259869","https://openalex.org/W3142849873","https://openalex.org/W3153182568","https://openalex.org/W3153432523","https://openalex.org/W3153915279","https://openalex.org/W3154672276","https://openalex.org/W3156001311","https://openalex.org/W3156002164","https://openalex.org/W3156200279","https://openalex.org/W3156622960","https://openalex.org/W3157506437","https://openalex.org/W3158542648","https://openalex.org/W3163155381","https://openalex.org/W3164446335","https://openalex.org/W3167142517","https://openalex.org/W3195311662","https://openalex.org/W3195689301","https://openalex.org/W3198798629","https://openalex.org/W3206992626","https://openalex.org/W3210519732","https://openalex.org/W3213774197","https://openalex.org/W4206323856","https://openalex.org/W4212774754","https://openalex.org/W4214835294","https://openalex.org/W4224307605","https://openalex.org/W4255453707","https://openalex.org/W4280595799","https://openalex.org/W4284677642","https://openalex.org/W4284697165","https://openalex.org/W4287214037","https://openalex.org/W4288616732","https://openalex.org/W4300482433","https://openalex.org/W4321479992","https://openalex.org/W4367046619","https://openalex.org/W4367046988","https://openalex.org/W4367047007","https://openalex.org/W4367047157","https://openalex.org/W4367047268","https://openalex.org/W6678814708","https://openalex.org/W6792244340","https://openalex.org/W6802418890"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W2379331395"],"abstract_inverted_index":{"Fairness":[0],"has":[1],"been":[2],"gradually":[3],"recognized":[4],"as":[5,141,232],"a":[6,43,77,129,158,204],"significant":[7],"problem":[8],"in":[9,42,72,151],"the":[10,20,29,37,40,53,60,63,86,100,104,108,112,121,138,142,146,164,172,175,182,192,198,247],"recommendation":[11,225],"domain.":[12],"Previous":[13],"models":[14],"usually":[15],"achieve":[16,124],"fairness":[17],"by":[18,227],"reducing":[19],"average":[21,30,48],"performance":[22,31,49,87,102,147,165,194,235],"gap":[23],"between":[24],"different":[25,90,152],"user":[26,44,91,150],"groups.":[27],"However,":[28],"may":[32,50],"not":[33,51],"sufficiently":[34],"represent":[35],"all":[36],"characteristics":[38,106],"of":[39,62,80,107,213,234,249],"performances":[41,64],"group.":[45],"Thus,":[46],"equivalent":[47,193],"mean":[52],"recommender":[54,139,186],"model":[55,140],"is":[56,166],"fair,":[57],"for":[58,148,210],"example,":[59],"variance":[61],"can":[65,178,188],"be":[66,94],"different.":[67],"To":[68,123,196],"alleviate":[69],"this":[70,73],"problem,":[71],"article,":[74],"we":[75,83,127,136,156,177,202,217],"define":[76],"novel":[78,205],"type":[79],"fairness,":[81,126],"where":[82],"require":[84],"that":[85,98,181],"distributions":[88],"across":[89],"groups":[92],"should":[93],"similar.":[95],"We":[96,237],"prove":[97,180],"with":[99],"same":[101],"distribution,":[103],"numerical":[105],"group":[109,163],"performance,":[110],"including":[111],"expectation,":[113],"variance,":[114],"and":[115,131,154,174],"any":[116],"higher-order":[117],"moment,":[118],"are":[119],"also":[120],"same.":[122],"distributional":[125],"propose":[128,203],"generative":[130],"adversarial":[132,199],"training":[133,200,214],"framework.":[134],"Specifically,":[135],"regard":[137],"generator":[143,173,184],"to":[144,160,191,221,245],"compute":[145],"each":[149],"groups,":[153],"then":[155],"deploy":[157],"discriminator":[159],"judge":[161],"which":[162],"drawn":[167],"from.":[168],"By":[169],"iteratively":[170],"optimizing":[171],"discriminator,":[176],"theoretically":[179],"optimal":[183,211],"(the":[185],"model)":[187],"indeed":[189],"lead":[190],"distributions.":[195],"smooth":[197],"process,":[201],"dual":[206],"curriculum":[207],"learning":[208],"strategy":[209],"scheduling":[212],"samples.":[215],"Additionally,":[216],"tailor":[218],"our":[219,250],"framework":[220],"better":[222],"suit":[223],"top-N":[224],"tasks":[226],"incorporating":[228],"softened":[229],"ranking":[230],"metrics":[231],"measures":[233],"discrepancies.":[236],"conduct":[238],"extensive":[239],"experiments":[240],"based":[241],"on":[242],"real-world":[243],"datasets":[244],"demonstrate":[246],"effectiveness":[248],"model.":[251]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
