{"id":"https://openalex.org/W4400528725","doi":"https://doi.org/10.1145/3626772.3657737","title":"Hypergraph Convolutional Network for User-Oriented Fairness in Recommender Systems","display_name":"Hypergraph Convolutional Network for User-Oriented Fairness in Recommender Systems","publication_year":2024,"publication_date":"2024-07-10","ids":{"openalex":"https://openalex.org/W4400528725","doi":"https://doi.org/10.1145/3626772.3657737"},"language":"en","primary_location":{"id":"doi:10.1145/3626772.3657737","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3626772.3657737","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 47th 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/A5044163944","display_name":"Zhongxuan Han","orcid":"https://orcid.org/0000-0001-9957-7325"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhongxuan Han","raw_affiliation_strings":["Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9957-7325","affiliations":[{"raw_affiliation_string":"Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028791879","display_name":"Chaochao Chen","orcid":"https://orcid.org/0000-0003-1419-964X"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaochao Chen","raw_affiliation_strings":["Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1419-964X","affiliations":[{"raw_affiliation_string":"Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074603286","display_name":"Xiaolin Zheng","orcid":"https://orcid.org/0000-0001-5483-0366"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolin Zheng","raw_affiliation_strings":["Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5483-0366","affiliations":[{"raw_affiliation_string":"Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103325715","display_name":"Li Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210132079","display_name":"Hangzhou Wanxiang Polytechnic","ror":"https://ror.org/03sxnxp24","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210132079"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Zhang","raw_affiliation_strings":["Polytechnic Institute, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0007-0307-379X","affiliations":[{"raw_affiliation_string":"Polytechnic Institute, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4210132079","https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101535331","display_name":"Yuyuan Li","orcid":"https://orcid.org/0000-0003-4896-2885"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuyuan Li","raw_affiliation_strings":["Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4896-2885","affiliations":[{"raw_affiliation_string":"Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5044163944"],"corresponding_institution_ids":["https://openalex.org/I168879160"],"apc_list":null,"apc_paid":null,"fwci":3.73,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.93851948,"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":"903","last_page":"913"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9898999929428101,"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":0.8511391878128052},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.8188650012016296},{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.8121010065078735},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4309973120689392},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.377618670463562},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0727626383304596},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.06541186571121216}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8511391878128052},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8188650012016296},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.8121010065078735},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4309973120689392},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.377618670463562},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0727626383304596},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.06541186571121216}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3626772.3657737","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3626772.3657737","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2054141820","https://openalex.org/W2100960835","https://openalex.org/W2128700566","https://openalex.org/W2133266261","https://openalex.org/W2584805976","https://openalex.org/W2599025709","https://openalex.org/W2605350416","https://openalex.org/W2728796024","https://openalex.org/W2809878087","https://openalex.org/W2892880750","https://openalex.org/W2963085847","https://openalex.org/W2972570554","https://openalex.org/W3045200674","https://openalex.org/W3080365325","https://openalex.org/W3080566854","https://openalex.org/W3084675360","https://openalex.org/W3134672395","https://openalex.org/W3153182568","https://openalex.org/W3155496675","https://openalex.org/W3164446335","https://openalex.org/W3173365306","https://openalex.org/W3173671550","https://openalex.org/W3180187578","https://openalex.org/W3182348457","https://openalex.org/W3186549233","https://openalex.org/W4206255050","https://openalex.org/W4224307896","https://openalex.org/W4224317071","https://openalex.org/W4230091358","https://openalex.org/W4284713500","https://openalex.org/W4288616732","https://openalex.org/W4288617757","https://openalex.org/W4304080519","https://openalex.org/W4367047393","https://openalex.org/W4386501886","https://openalex.org/W4387560482","https://openalex.org/W4393148135"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W4376608589","https://openalex.org/W1537073411","https://openalex.org/W3138003926","https://openalex.org/W1630514295","https://openalex.org/W4300037846","https://openalex.org/W4288275998","https://openalex.org/W2963081352","https://openalex.org/W4376608938"],"abstract_inverted_index":{"The":[0],"service":[1,22,38],"system":[2],"involves":[3],"multiple":[4],"stakeholders,":[5],"making":[6],"it":[7],"crucial":[8],"to":[9,27,30,103,127,139,178,198],"ensure":[10],"fairness.":[11],"In":[12,112],"this":[13,113],"paper,":[14,114],"we":[15,115],"take":[16],"the":[17,24,37,58,81,85,129,157,200],"example":[18],"of":[19,84,160,202],"a":[20,46,117,135,170],"typical":[21],"system,":[23,26],"recommender":[25],"investigate":[28],"how":[29],"identify":[31],"and":[32,96],"tackle":[33],"fairness":[34],"issues":[35],"within":[36],"system.":[39],"Recommender":[40],"systems":[41],"often":[42],"exhibit":[43],"bias":[44],"towards":[45],"small":[47],"user":[48],"group,":[49],"resulting":[50],"in":[51,54,69,79,109,175],"pronounced":[52],"unfairness":[53],"recommendation":[55,142,196],"performance,":[56],"specifically":[57],"User-Oriented":[59,123],"Fairness":[60],"(UOF)":[61],"issue.":[62],"Existing":[63],"research":[64],"on":[65,188,193],"UOF":[66,86],"faces":[67],"limitations":[68],"addressing":[70,80],"two":[71],"pivotal":[72],"challenges:":[73],"CH1:":[74],"Current":[75,100],"methods":[76,101],"fall":[77],"short":[78],"root":[82],"cause":[83],"issue,":[87],"stemming":[88],"from":[89],"an":[90,152],"unfair":[91],"training":[92,158],"process":[93,159],"between":[94],"advantaged":[95],"disadvantaged":[97,161],"users.":[98,183],"CH2:":[99],"struggle":[102],"unveil":[104],"compelling":[105],"correlations":[106,181],"among":[107,182],"users":[108,162],"sparse":[110,176],"datasets.":[111],"propose":[116],"novel":[118],"Hypergraph":[119],"Convolutional":[120],"Network":[121],"for":[122,144],"Fairness,":[124],"namely":[125],"HyperUOF,":[126],"address":[128,148],"aforementioned":[130],"challenges.":[131],"HyperUOF":[132,150,168],"serves":[133],"as":[134],"versatile":[136],"framework":[137],"applicable":[138],"various":[140],"backbone":[141,195],"models":[143,197],"achieving":[145],"UOF.":[146],"To":[147,166],"CH1,":[149],"employs":[151],"in-processing":[153],"method":[154],"that":[155],"enhances":[156],"during":[163],"model":[164],"training.":[165],"addressCH2,":[167],"incorporates":[169],"hypergraph-based":[171],"approach,":[172],"proven":[173],"effective":[174],"datasets,":[177],"explore":[179],"high-order":[180],"We":[184],"conduct":[185],"extensive":[186],"experiments":[187],"three":[189],"real-world":[190],"datasets":[191],"based":[192],"four":[194],"prove":[199],"effectiveness":[201],"our":[203],"proposed":[204],"HyperUOF.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
