{"id":"https://openalex.org/W7154570477","doi":"https://doi.org/10.1109/tkde.2026.3683437","title":"Intra-Group Individual Item Fairness-Aware Recommendation","display_name":"Intra-Group Individual Item Fairness-Aware Recommendation","publication_year":2026,"publication_date":"2026-04-16","ids":{"openalex":"https://openalex.org/W7154570477","doi":"https://doi.org/10.1109/tkde.2026.3683437"},"language":null,"primary_location":{"id":"doi:10.1109/tkde.2026.3683437","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2026.3683437","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","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/A5120955408","display_name":"Ruijia Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruijia Ma","raw_affiliation_strings":["School of Computer Science, TJ Key Lab of NDST, DISSec, TMCC, TBI Center, AAIS, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0009-0008-2972-9897","affiliations":[{"raw_affiliation_string":"School of Computer Science, TJ Key Lab of NDST, DISSec, TMCC, TBI Center, AAIS, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002324931","display_name":"L Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Zhang","raw_affiliation_strings":["School of Computer Science, TJ Key Lab of NDST, DISSec, TMCC, TBI Center, AAIS, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0009-0007-6509-1651","affiliations":[{"raw_affiliation_string":"School of Computer Science, TJ Key Lab of NDST, DISSec, TMCC, TBI Center, AAIS, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116498723","display_name":"Rongbo Qi","orcid":null},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongbo Qi","raw_affiliation_strings":["School of Computer Science, TJ Key Lab of NDST, DISSec, TMCC, TBI Center, AAIS, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0009-0002-0879-3140","affiliations":[{"raw_affiliation_string":"School of Computer Science, TJ Key Lab of NDST, DISSec, TMCC, TBI Center, AAIS, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133784728","display_name":"Chunyao Song","orcid":null},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyao Song","raw_affiliation_strings":["School of Computer Science, TJ Key Lab of NDST, DISSec, TMCC, TBI Center, AAIS, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-5715-5092","affiliations":[{"raw_affiliation_string":"School of Computer Science, TJ Key Lab of NDST, DISSec, TMCC, TBI Center, AAIS, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048219544","display_name":"Tingjian Ge","orcid":"https://orcid.org/0000-0003-2225-8291"},"institutions":[{"id":"https://openalex.org/I133738476","display_name":"University of Massachusetts Lowell","ror":"https://ror.org/03hamhx47","country_code":"US","type":"education","lineage":["https://openalex.org/I133738476"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tingjian Ge","raw_affiliation_strings":["Department of Computer Science, University of Massachusetts Lowell, Lowell, MA, USA"],"raw_orcid":"https://orcid.org/0000-0003-2225-8291","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Massachusetts Lowell, Lowell, MA, USA","institution_ids":["https://openalex.org/I133738476"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.47087278,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":"7","first_page":"4449","last_page":"4463"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.46309998631477356,"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"}},"topics":[{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.46309998631477356,"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"}},{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.22859999537467957,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.11559999734163284,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.3896999955177307},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.303600013256073},{"id":"https://openalex.org/keywords/electronic-mail","display_name":"Electronic mail","score":0.27410000562667847},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.21660000085830688}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7268999814987183},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.3896999955177307},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.349700003862381},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3052999973297119},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.303600013256073},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27720001339912415},{"id":"https://openalex.org/C3020028006","wikidata":"https://www.wikidata.org/wiki/Q9158","display_name":"Electronic mail","level":2,"score":0.27410000562667847},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.26820001006126404},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.25999999046325684},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.21660000085830688}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2026.3683437","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2026.3683437","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"recommendation":[1,52,83,113],"system,":[2],"as":[3,99,169],"a":[4,79,109,120,130,150,183],"widely":[5],"used":[6],"and":[7,24,219,231],"effective":[8],"tool":[9],"to":[10,60,125,163,189,225],"alleviate":[11],"information":[12,138],"overload,":[13],"has":[14],"been":[15],"receiving":[16],"increasing":[17],"attention":[18],"regarding":[19],"its":[20],"issues":[21],"of":[22,44,92,136,208,215],"bias":[23],"fairness.":[25],"Many":[26],"studies":[27],"have":[28],"focused":[29],"on":[30,33,201],"addressing":[31],"fairness":[32,39,82,88],"the":[34,72,134,145,160,195,206],"item":[35,38,81,101],"side,":[36],"targeting":[37],"by":[40],"minimizing":[41],"exposure":[42,59,122,127],"discrepancies":[43],"items":[45,56,158,177],"among":[46],"similar":[47,58],"individuals.":[48],"However,":[49],"in":[50,140,217,221],"real-world":[51,203],"scenarios,":[53],"many":[54],"relevant":[55],"requiring":[57],"users":[61],"may":[62,173],"exhibit":[63],"certain":[64],"dissimilarities":[65],"while":[66],"existing":[67],"methods":[68],"could":[69],"not":[70],"solve":[71,104],"problem.":[73],"To":[74,103],"address":[75],"this,":[76],"we":[77,97,107,118,148,181],"define":[78],"broader":[80],"issue":[84],"aimed":[85],"at":[86,129,144,237],"improving":[87],"within":[89,159,194],"specified":[90],"groups":[91],"related":[93],"individual":[94,157,191],"items,":[95],"which":[96],"term":[98],"\u201cintra-group":[100],"fairness\u201d.":[102],"this":[105],"issue,":[106],"propose":[108,149,182],"Group-oriented":[110],"Individual":[111],"Fairness":[112],"model":[114,179],"called":[115],"GIFRec.":[116],"First,":[117],"introduce":[119],"global":[121,131],"balance":[123],"module":[124],"mitigate":[126],"imbalances":[128],"level,":[132,147],"with":[133,211],"help":[135],"multimodal":[137],"contained":[139],"each":[141],"item.":[142],"Then,":[143],"group":[146,151,162,166],"fusion":[152],"embedding":[153],"representation":[154],"method,":[155],"allowing":[156],"same":[161,196],"adaptively":[164],"share":[165],"information.":[167],"Additionally,":[168],"unfair":[170],"training":[171,192],"opportunities":[172],"arise":[174],"for":[175],"different":[176],"during":[178],"training,":[180],"general":[184],"fair":[185,222],"intra-group":[186],"optimization":[187],"method":[188],"reduce":[190],"biases":[193],"group.":[197],"Extensive":[198],"experiments":[199],"conducted":[200],"four":[202],"datasets":[204],"demonstrate":[205],"effectiveness":[207],"our":[209],"approach":[210],"an":[212],"average":[213],"improvement":[214],"11.27%":[216],"accuracy":[218],"24.91%":[220],"ness":[223],"compared":[224],"eight":[226],"SOTA":[227],"methods.":[228],"Our":[229],"implementation":[230],"some":[232],"details":[233],"can":[234],"be":[235],"found":[236],"https://github.com/xderui/GIFRec.":[238]},"counts_by_year":[],"updated_date":"2026-06-06T06:22:57.294733","created_date":"2026-04-17T00:00:00"}