{"id":"https://openalex.org/W4213307348","doi":"https://doi.org/10.1007/s10115-022-01656-x","title":"Feature-blind fairness in collaborative filtering recommender systems","display_name":"Feature-blind fairness in collaborative filtering recommender systems","publication_year":2022,"publication_date":"2022-02-22","ids":{"openalex":"https://openalex.org/W4213307348","doi":"https://doi.org/10.1007/s10115-022-01656-x"},"language":"en","primary_location":{"id":"doi:10.1007/s10115-022-01656-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10115-022-01656-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10115-022-01656-x.pdf","source":{"id":"https://openalex.org/S81770430","display_name":"Knowledge and Information Systems","issn_l":"0219-1377","issn":["0219-1377","0219-3116"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge and Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10115-022-01656-x.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009320345","display_name":"Rodrigo Borges","orcid":"https://orcid.org/0000-0001-6920-3576"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Rodrigo Borges","raw_affiliation_strings":["Tampere University, Tampere, Finland"],"raw_orcid":"https://orcid.org/0000-0001-6920-3576","affiliations":[{"raw_affiliation_string":"Tampere University, Tampere, Finland","institution_ids":["https://openalex.org/I166825849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042740371","display_name":"Kostas Stefanidis","orcid":null},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Kostas Stefanidis","raw_affiliation_strings":["Tampere University, Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tampere University, Tampere, Finland","institution_ids":["https://openalex.org/I166825849"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5009320345"],"corresponding_institution_ids":["https://openalex.org/I166825849"],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":{"value":2290,"currency":"EUR","value_usd":2890},"fwci":3.8283,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.93957366,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"64","issue":"4","first_page":"943","last_page":"962"},"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":0.9681000113487244,"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/T11448","display_name":"Face recognition and analysis","score":0.9635999798774719,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.8106694221496582},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.795526385307312},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.7801653146743774},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.6912730932235718},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.5330459475517273},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48762694001197815},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.486390620470047},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.48337262868881226},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.45615166425704956},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4463804066181183},{"id":"https://openalex.org/keywords/harm","display_name":"Harm","score":0.42012789845466614},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36796334385871887},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36153557896614075},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07600650191307068}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8106694221496582},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.795526385307312},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.7801653146743774},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.6912730932235718},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.5330459475517273},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48762694001197815},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.486390620470047},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.48337262868881226},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.45615166425704956},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4463804066181183},{"id":"https://openalex.org/C2777363581","wikidata":"https://www.wikidata.org/wiki/Q15098235","display_name":"Harm","level":2,"score":0.42012789845466614},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36796334385871887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36153557896614075},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07600650191307068},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10115-022-01656-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10115-022-01656-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10115-022-01656-x.pdf","source":{"id":"https://openalex.org/S81770430","display_name":"Knowledge and Information Systems","issn_l":"0219-1377","issn":["0219-1377","0219-3116"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge and Information Systems","raw_type":"journal-article"},{"id":"pmh:oai:trepo.tuni.fi:10024/224008","is_oa":true,"landing_page_url":"https://trepo.tuni.fi/handle/10024/224008","pdf_url":null,"source":{"id":"https://openalex.org/S7407055260","display_name":"Trepo - Institutional Repository of Tampere University","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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s10115-022-01656-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10115-022-01656-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10115-022-01656-x.pdf","source":{"id":"https://openalex.org/S81770430","display_name":"Knowledge and Information Systems","issn_l":"0219-1377","issn":["0219-1377","0219-3116"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge and Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4213307348.pdf","grobid_xml":"https://content.openalex.org/works/W4213307348.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1992549066","https://openalex.org/W2046974451","https://openalex.org/W2100960835","https://openalex.org/W2101409192","https://openalex.org/W2704480242","https://openalex.org/W2740253077","https://openalex.org/W2748058847","https://openalex.org/W2897363137","https://openalex.org/W2948978827","https://openalex.org/W2963085847","https://openalex.org/W2999838088","https://openalex.org/W3003137157","https://openalex.org/W3014181903","https://openalex.org/W3035446616","https://openalex.org/W3102092462","https://openalex.org/W3123082925","https://openalex.org/W3205761523","https://openalex.org/W4288617781","https://openalex.org/W4300482433"],"related_works":["https://openalex.org/W4221158829","https://openalex.org/W2348159088","https://openalex.org/W4285173959","https://openalex.org/W3004927845","https://openalex.org/W2402445420","https://openalex.org/W1922162868","https://openalex.org/W1773619406","https://openalex.org/W4224438270","https://openalex.org/W4280534985","https://openalex.org/W189907281"],"abstract_inverted_index":{"Abstract":[0],"Recommender":[1],"systems":[2],"were":[3,30],"originally":[4],"proposed":[5],"for":[6,49,74,93,105,129,139,179],"suggesting":[7],"potentially":[8],"relevant":[9],"items":[10,41],"to":[11,59,110,146,222],"users,":[12],"with":[13,168],"the":[14,39,90,95,126,184,216,223],"unique":[15],"objective":[16],"of":[17,66,172,186,191,211],"providing":[18],"accurate":[19],"suggestions.":[20],"These":[21],"recommenders":[22],"started":[23],"being":[24,42],"adopted":[25],"in":[26,46,51,89,98,156,195,213,215],"several":[27],"domains,":[28],"and":[29,97,134,158,170,182],"identified":[31],"as":[32,125],"generating":[33],"biased":[34],"results":[35,189],"that":[36,82,107],"could":[37],"harm":[38],"data":[40,91],"recommended.":[43],"The":[44],"exposure":[45],"generated":[47],"rankings,":[48],"instance":[50],"a":[52,137,176,192,209],"job":[53],"candidate":[54],"selection":[55],"situation,":[56],"is":[57,87,102,204],"supposed":[58],"be":[60],"fairly":[61],"distributed":[62],"among":[63],"candidates,":[64],"regardless":[65],"their":[67],"sensitive":[68,85],"attributes":[69],"(gender,":[70],"race,":[71],"nationality,":[72],"age)":[73],"promoting":[75,187],"equal":[76],"opportunities.":[77],"It":[78],"can":[79,108],"happen,":[80],"however,":[81],"no":[83],"such":[84],"information":[86,147],"available":[88],"applied":[92],"training":[94],"recommender,":[96],"this":[99,117],"case,":[100],"there":[101],"still":[103],"space":[104],"biases":[106],"lead":[109],"unfair":[111],"treatment,":[112],"named":[113],"Feature-Blind":[114],"unfairness.":[115],"In":[116,198],"work,":[118],"we":[119,135,153,174],"adopt":[120],"Variational":[121],"Autoencoders":[122],"(VAE),":[123],"considered":[124],"state-of-the-art":[127],"technique":[128],"Collaborative":[130],"Filtering":[131],"(CF)":[132],"recommendations,":[133],"present":[136],"framework":[138],"addressing":[140],"fairness":[141,228],"when":[142],"having":[143],"only":[144],"access":[145],"about":[148],"user-item":[149],"interactions.":[150],"More":[151],"specifically,":[152],"are":[154],"interested":[155],"Position":[157],"Popularity":[159],"Bias.":[160],"VAE":[161],"loss":[162],"function":[163],"combines":[164],"two":[165],"terms":[166],"associated":[167],"accuracy":[169],"quality":[171],"representation;":[173],"introduce":[175],"new":[177],"term":[178],"encouraging":[180],"fairness,":[181],"demonstrate":[183],"effect":[185],"fair":[188],"despite":[190,208],"tolerable":[193],"decrease":[194],"recommendation":[196,219],"quality.":[197],"our":[199],"best":[200],"scenario,":[201],"position":[202],"bias":[203],"reduced":[205],"by":[206],"42%":[207],"reduction":[210],"26%":[212],"recall":[214],"top":[217],"100":[218],"results,":[220],"compared":[221],"same":[224],"situation":[225],"without":[226],"any":[227],"constraints.":[229]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}