{"id":"https://openalex.org/W4416681978","doi":"https://doi.org/10.48550/arxiv.2509.00109","title":"Bias Mitigation for AI-Feedback Loops in Recommender Systems: A Systematic Literature Review and Taxonomy","display_name":"Bias Mitigation for AI-Feedback Loops in Recommender Systems: A Systematic Literature Review and Taxonomy","publication_year":2025,"publication_date":"2025-08-28","ids":{"openalex":"https://openalex.org/W4416681978","doi":"https://doi.org/10.48550/arxiv.2509.00109"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2509.00109","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.00109","pdf_url":"https://arxiv.org/pdf/2509.00109","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"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":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2509.00109","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5094196436","display_name":"Theodor Stoecker","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stoecker, Theodor","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Bayer, Samed","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bayer, Samed","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5071642549","display_name":"Ingo Weber","orcid":"https://orcid.org/0000-0002-4833-5921"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weber, Ingo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"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":0.3343000113964081,"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":0.3343000113964081,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.2110999971628189,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.11079999804496765,"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/systematic-review","display_name":"Systematic review","score":0.7296000123023987},{"id":"https://openalex.org/keywords/taxonomy","display_name":"Taxonomy (biology)","score":0.6596999764442444},{"id":"https://openalex.org/keywords/retraining","display_name":"Retraining","score":0.6525999903678894},{"id":"https://openalex.org/keywords/checklist","display_name":"Checklist","score":0.6381000280380249},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5892000198364258},{"id":"https://openalex.org/keywords/economic-shortage","display_name":"Economic shortage","score":0.5600000023841858}],"concepts":[{"id":"https://openalex.org/C189708586","wikidata":"https://www.wikidata.org/wiki/Q1504425","display_name":"Systematic review","level":3,"score":0.7296000123023987},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6729999780654907},{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.6596999764442444},{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.6525999903678894},{"id":"https://openalex.org/C2779356329","wikidata":"https://www.wikidata.org/wiki/Q922625","display_name":"Checklist","level":2,"score":0.6381000280380249},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5892000198364258},{"id":"https://openalex.org/C194051981","wikidata":"https://www.wikidata.org/wiki/Q1337691","display_name":"Economic shortage","level":3,"score":0.5600000023841858},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35190001130104065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34790000319480896},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.3321000039577484},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3231000006198883},{"id":"https://openalex.org/C100253034","wikidata":"https://www.wikidata.org/wiki/Q196372","display_name":"Systematic error","level":2,"score":0.2962000072002411},{"id":"https://openalex.org/C79585631","wikidata":"https://www.wikidata.org/wiki/Q431498","display_name":"Confirmation bias","level":2,"score":0.2955999970436096},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.29280000925064087},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.2736000120639801},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2662000060081482}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:arXiv.org:2509.00109","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.00109","pdf_url":"https://arxiv.org/pdf/2509.00109","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"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":"text"},{"id":"pmh:oai:publica.fraunhofer.de:publica/503936","is_oa":true,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/503936","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"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":"Arxiv","raw_type":"paper"},{"id":"doi:10.48550/arxiv.2509.00109","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2509.00109","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2509.00109","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.00109","pdf_url":"https://arxiv.org/pdf/2509.00109","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Recommender":[0],"systems":[1],"continually":[2],"retrain":[3],"on":[4,34,88],"user":[5],"reactions":[6],"to":[7,129],"their":[8,38],"own":[9],"predictions,":[10],"creating":[11],"AI":[12,61],"feedback":[13,62],"loops":[14,63],"that":[15,58,148],"amplify":[16],"biases":[17,93],"and":[18,64,102,123,145],"diminish":[19],"fairness":[20,40,153],"over":[21],"time.":[22],"Despite":[23],"this":[24],"well-known":[25],"risk,":[26],"most":[27,132,149],"bias":[28,55],"mitigation":[29,56,91],"techniques":[30],"are":[31,65],"tested":[32],"only":[33,156],"static":[35],"splits,":[36],"so":[37],"long-term":[39],"across":[41],"multiple":[42],"retraining":[43],"rounds":[44],"remains":[45],"unclear.":[46],"We":[47],"therefore":[48],"present":[49],"a":[50,108,116,126],"systematic":[51],"literature":[52],"review":[53],"of":[54,139],"methods":[57,122],"explicitly":[59],"consider":[60],"validated":[66],"in":[67],"multi-round":[68],"simulations":[69],"or":[70,154],"live":[71],"A/B":[72],"tests.":[73],"Screening":[74],"347":[75],"papers":[76],"yields":[77],"24":[78],"primary":[79],"studies":[80,150],"published":[81],"between":[82],"2019-2025.":[83],"Each":[84],"study":[85],"is":[86],"coded":[87],"six":[89,157],"dimensions:":[90],"technique,":[92],"addressed,":[94],"dynamic":[95],"testing":[96],"set-up,":[97],"evaluation":[98,143],"focus,":[99],"application":[100],"domain,":[101],"ML":[103],"task,":[104],"organising":[105],"them":[106],"into":[107],"reusable":[109],"taxonomy.":[110],"The":[111],"taxonomy":[112],"offers":[113],"industry":[114],"practitioners":[115],"quick":[117],"checklist":[118],"for":[119],"selecting":[120],"robust":[121],"gives":[124],"researchers":[125],"clear":[127],"roadmap":[128],"the":[130,137,146],"field's":[131],"urgent":[133],"gaps.":[134],"Examples":[135],"include":[136],"shortage":[138],"shared":[140],"simulators,":[141],"varying":[142],"metrics,":[144],"fact":[147],"report":[151],"either":[152],"performance;":[155],"use":[158],"both.":[159]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}