{"id":"https://openalex.org/W4386729270","doi":"https://doi.org/10.1145/3604915.3608825","title":"Collaborative filtering algorithms are prone to mainstream-taste bias","display_name":"Collaborative filtering algorithms are prone to mainstream-taste bias","publication_year":2023,"publication_date":"2023-09-14","ids":{"openalex":"https://openalex.org/W4386729270","doi":"https://doi.org/10.1145/3604915.3608825"},"language":"en","primary_location":{"id":"doi:10.1145/3604915.3608825","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3604915.3608825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM Conference on Recommender Systems","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/A5080193434","display_name":"Pantelis P. Analytis","orcid":"https://orcid.org/0000-0003-0778-3813"},"institutions":[{"id":"https://openalex.org/I177969490","display_name":"University of Southern Denmark","ror":"https://ror.org/03yrrjy16","country_code":"DK","type":"education","lineage":["https://openalex.org/I177969490"]}],"countries":["DK"],"is_corresponding":true,"raw_author_name":"Pantelis Pipergias Analytis","raw_affiliation_strings":["Department of Business and Management, University of Southern Denmark, Denmark"],"raw_orcid":"https://orcid.org/0000-0003-0778-3813","affiliations":[{"raw_affiliation_string":"Department of Business and Management, University of Southern Denmark, Denmark","institution_ids":["https://openalex.org/I177969490"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023830931","display_name":"Philipp Hager","orcid":"https://orcid.org/0000-0001-5696-9732"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Philipp Hager","raw_affiliation_strings":["University of Amsterdam, Netherlands"],"raw_orcid":"https://orcid.org/0000-0001-5696-9732","affiliations":[{"raw_affiliation_string":"University of Amsterdam, Netherlands","institution_ids":["https://openalex.org/I887064364"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5080193434"],"corresponding_institution_ids":["https://openalex.org/I177969490"],"apc_list":null,"apc_paid":null,"fwci":1.3453,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.85343061,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"750","last_page":"756"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9815999865531921,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9735999703407288,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/collaborative-filtering","display_name":"Collaborative filtering","score":0.9465000629425049},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7819060683250427},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6972028017044067},{"id":"https://openalex.org/keywords/mainstream","display_name":"Mainstream","score":0.6894708275794983},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.6078147888183594},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6052088141441345},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5350839495658875},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45491647720336914},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.45366930961608887},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3684028387069702},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3592383563518524},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12319892644882202}],"concepts":[{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.9465000629425049},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7819060683250427},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6972028017044067},{"id":"https://openalex.org/C2777617010","wikidata":"https://www.wikidata.org/wiki/Q18957","display_name":"Mainstream","level":2,"score":0.6894708275794983},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.6078147888183594},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6052088141441345},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5350839495658875},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45491647720336914},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.45366930961608887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3684028387069702},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3592383563518524},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12319892644882202},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3604915.3608825","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3604915.3608825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:sdu.dk:publications/8bff21ea-4713-44bc-881a-22c018f029d1","is_oa":false,"landing_page_url":"https://portal.findresearcher.sdu.dk/da/publications/8bff21ea-4713-44bc-881a-22c018f029d1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400423","display_name":"University of Southern Denmark Research Portal (University of Southern Denmark)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177969490","host_organization_name":"University of Southern Denmark","host_organization_lineage":["https://openalex.org/I177969490"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pipergias Analytis, P & Hager, P 2023, Collaborative filtering algorithms are prone to mainstream-taste bias. in RecSys '23 : Proceedings of the 17th ACM Conference on Recommender Systems. Association for Computing Machinery, pp. 750-756, 17th ACM Conference on Recommender Systems, RecSys 2023, Singapore, Singapore, 18/09/2023. https://doi.org/10.1145/3604915.3608825","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1224564842","https://openalex.org/W1479822238","https://openalex.org/W1971460272","https://openalex.org/W1975503357","https://openalex.org/W1979954303","https://openalex.org/W1988027382","https://openalex.org/W2019313057","https://openalex.org/W2042281163","https://openalex.org/W2052686855","https://openalex.org/W2056418346","https://openalex.org/W2069870183","https://openalex.org/W2096016260","https://openalex.org/W2107426741","https://openalex.org/W2117354486","https://openalex.org/W2140074939","https://openalex.org/W2155106456","https://openalex.org/W2158515176","https://openalex.org/W2219888463","https://openalex.org/W2341865734","https://openalex.org/W2466918168","https://openalex.org/W2605350416","https://openalex.org/W2740253077","https://openalex.org/W2755210032","https://openalex.org/W2757973276","https://openalex.org/W2912745432","https://openalex.org/W2953056662","https://openalex.org/W2973078969","https://openalex.org/W2987577970","https://openalex.org/W3017158675","https://openalex.org/W3045200674","https://openalex.org/W3088511490","https://openalex.org/W3092103025","https://openalex.org/W3101708421","https://openalex.org/W3115572006","https://openalex.org/W3125645198","https://openalex.org/W3127259869","https://openalex.org/W3153182568","https://openalex.org/W3156002164","https://openalex.org/W3164446335","https://openalex.org/W3167919298","https://openalex.org/W3199947947","https://openalex.org/W4213069590","https://openalex.org/W4213348292","https://openalex.org/W4232980324","https://openalex.org/W6921277683"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W2735929803","https://openalex.org/W4220714703","https://openalex.org/W1484355083","https://openalex.org/W3008845055","https://openalex.org/W2098758514","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W3014393615","https://openalex.org/W2508671622"],"abstract_inverted_index":{"Collaborative":[0,16],"filtering":[1,17,76,162],"has":[2],"been":[3,23,150],"a":[4,166],"dominant":[5],"approach":[6],"in":[7,107,160],"the":[8,13],"recommender":[9],"systems":[10],"community":[11],"since":[12],"early":[14],"1990s.":[15],"(and":[18],"other)":[19],"algorithms,":[20,77,84,163],"however,":[21],"have":[22,149],"predominantly":[24],"evaluated":[25],"by":[26],"aggregating":[27],"results":[28,154],"across":[29,83],"users":[30,48,134,147],"or":[31],"user":[32],"groups.":[33],"These":[34],"performance":[35,58,81,116,131],"averages":[36],"hide":[37],"large":[38,61,80],"disparities:":[39],"an":[40,72,156],"algorithm":[41,130],"may":[42],"perform":[43],"very":[44],"well":[45],"for":[46,53,88,132],"some":[47],"(or":[49],"groups)":[50],"and":[51,62,70,86,105,135],"poorly":[52],"others.":[54],"We":[55,91,123],"show":[56,93],"that":[57,94,98,139,148,170],"variation":[59,117],"is":[60],"systematic.":[63],"In":[64],"experiments":[65],"on":[66],"three":[67],"large-scale":[68],"datasets":[69,85],"using":[71],"array":[73],"of":[74,146],"collaborative":[75,161],"we":[78,136],"demonstrate":[79,155],"disparities":[82],"metrics":[87],"different":[89,133,144],"users.":[90],"then":[92],"two":[95,126],"key":[96],"features":[97,127],"characterize":[99],"users,":[100,112],"their":[101],"mean":[102],"taste":[103,108],"similarity":[104,109],"dispersion":[106],"with":[110],"other":[111],"can":[113,142],"systematically":[114],"explain":[115],"better":[118],"than":[119],"previously":[120],"identified":[121],"features.":[122],"use":[124],"these":[125],"to":[128,172],"visualize":[129],"point":[137],"out":[138],"this":[140],"mapping":[141],"capture":[143],"categories":[145],"proposed":[151],"before.":[152],"Our":[153],"extensive":[157],"mainstream-taste":[158],"bias":[159],"which":[164],"implies":[165],"fundamental":[167],"fairness":[168],"limitation":[169],"needs":[171],"be":[173],"mitigated.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}