{"id":"https://openalex.org/W7127600331","doi":"https://doi.org/10.48550/arxiv.2602.02516","title":"Measuring Individual User Fairness with User Similarity and Effectiveness Disparity","display_name":"Measuring Individual User Fairness with User Similarity and Effectiveness Disparity","publication_year":2026,"publication_date":"2026-01-23","ids":{"openalex":"https://openalex.org/W7127600331","doi":"https://doi.org/10.48550/arxiv.2602.02516"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.02516","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076063515","display_name":"Theresia Veronika Rampisela","orcid":"https://orcid.org/0000-0003-1233-7690"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Rampisela, Theresia Veronika","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125087584","display_name":"Maria Maistro","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maistro, Maria","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125065393","display_name":"Tuukka Ruotsalo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruotsalo, Tuukka","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5125089695","display_name":"Christina Lioma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lioma, Christina","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5076063515"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.8126000165939331,"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":0.8126000165939331,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.04500000178813934,"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":0.0364999994635582,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.8284000158309937},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.7170000076293945},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6597999930381775},{"id":"https://openalex.org/keywords/user-modeling","display_name":"User modeling","score":0.49950000643730164},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4896000027656555},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.46790000796318054},{"id":"https://openalex.org/keywords/computer-user-satisfaction","display_name":"Computer user satisfaction","score":0.42010000348091125},{"id":"https://openalex.org/keywords/user-experience-design","display_name":"User experience design","score":0.3946000039577484}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.8284000158309937},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7601000070571899},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.7170000076293945},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6597999930381775},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.49950000643730164},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4896000027656555},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.46790000796318054},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.44359999895095825},{"id":"https://openalex.org/C63880386","wikidata":"https://www.wikidata.org/wiki/Q5157592","display_name":"Computer user satisfaction","level":4,"score":0.42010000348091125},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3962000012397766},{"id":"https://openalex.org/C201025465","wikidata":"https://www.wikidata.org/wiki/Q11248500","display_name":"User experience design","level":2,"score":0.3946000039577484},{"id":"https://openalex.org/C2984870255","wikidata":"https://www.wikidata.org/wiki/Q5196451","display_name":"User engagement","level":2,"score":0.3725999891757965},{"id":"https://openalex.org/C143267671","wikidata":"https://www.wikidata.org/wiki/Q7901856","display_name":"User requirements document","level":2,"score":0.3682999908924103},{"id":"https://openalex.org/C91262260","wikidata":"https://www.wikidata.org/wiki/Q528074","display_name":"End user","level":2,"score":0.35569998621940613},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.31769999861717224},{"id":"https://openalex.org/C11867375","wikidata":"https://www.wikidata.org/wiki/Q5430671","display_name":"Fairness measure","level":4,"score":0.31540000438690186},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.30790001153945923},{"id":"https://openalex.org/C143271835","wikidata":"https://www.wikidata.org/wiki/Q254515","display_name":"Similitude","level":2,"score":0.30469998717308044},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.30079999566078186},{"id":"https://openalex.org/C3017738328","wikidata":"https://www.wikidata.org/wiki/Q613366","display_name":"User group","level":2,"score":0.29580000042915344},{"id":"https://openalex.org/C11189718","wikidata":"https://www.wikidata.org/wiki/Q218152","display_name":"User story","level":4,"score":0.28679999709129333},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2784000039100647},{"id":"https://openalex.org/C101293273","wikidata":"https://www.wikidata.org/wiki/Q579716","display_name":"User-generated content","level":3,"score":0.26030001044273376}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.02516","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.02516","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.02516","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.02516","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.4273209571838379,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Individual":[0],"user":[1,22,39,61,72,82,109,117,148,168,181,187],"fairness":[2,27,73,83,110],"is":[3,120],"commonly":[4],"understood":[5],"as":[6],"treating":[7],"similar":[8,49],"users":[9,50],"similarly.":[10],"In":[11,79,152],"Recommender":[12],"Systems":[13],"(RSs),":[14],"several":[15],"evaluation":[16,84,105,175],"measures":[17,25,85,156],"exist":[18],"for":[19,77],"quantifying":[20],"individual":[21,71,108,186],"fairness.":[23,92,188],"These":[24],"evaluate":[26],"via":[28],"either:":[29],"(i)":[30],"the":[31,43,121,172],"disparity":[32,44,56,115,163],"in":[33,45,57,66,185],"RS":[34,174],"effectiveness":[35,59,114,162,184],"scores":[36],"regardless":[37,51],"of":[38,52,91,107],"similarity,":[40],"or":[41,150,164],"(ii)":[42],"items":[46],"recommended":[47],"to":[48,161,167,177],"item":[53],"relevance.":[54],"Both":[55],"recommendation":[58],"and":[60,116,141,144,183],"similarity":[62,149,182],"are":[63,157],"very":[64],"important":[65,128],"fairness,":[67],"yet":[68],"no":[69],"existing":[70],"measure":[74,106,123,176],"simultaneously":[75],"accounts":[76],"both.":[78],"brief,":[80],"current":[81],"implement":[86],"a":[87,103],"largely":[88],"incomplete":[89],"definition":[90],"To":[93],"fill":[94],"this":[95,127,136],"gap,":[96],"we":[97],"present":[98],"Pairwise":[99],"User":[100],"unFairness":[101],"(PUF),":[102],"novel":[104],"that":[111,124,133],"considers":[112],"both":[113,180],"similarity.":[118,169],"PUF":[119,134],"only":[122],"can":[125],"express":[126],"distinction.":[129],"We":[130,170],"empirically":[131],"validate":[132],"does":[135],"consistently":[137],"across":[138],"4":[139],"datasets":[140],"7":[142],"rankers,":[143],"robustly":[145],"when":[146],"varying":[147],"effectiveness.":[151],"contrast,":[153],"all":[154],"other":[155],"either":[158],"almost":[159],"insensitive":[160,166],"completely":[165],"contribute":[171],"first":[173],"reliably":[178],"capture":[179],"Our":[189],"code:":[190],"https://github.com/theresiavr/PUF-individual-user-fairness-recsys.":[191]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-06T00:00:00"}
