{"id":"https://openalex.org/W2973078969","doi":"https://doi.org/10.1145/3298689.3346964","title":"Fairness and discrimination in recommendation and retrieval","display_name":"Fairness and discrimination in recommendation and retrieval","publication_year":2019,"publication_date":"2019-09-10","ids":{"openalex":"https://openalex.org/W2973078969","doi":"https://doi.org/10.1145/3298689.3346964","mag":"2973078969"},"language":"en","primary_location":{"id":"doi:10.1145/3298689.3346964","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3298689.3346964","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3298689.3346964","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3298689.3346964","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015092805","display_name":"Michael D. Ekstrand","orcid":"https://orcid.org/0000-0003-2467-0108"},"institutions":[{"id":"https://openalex.org/I120156002","display_name":"Boise State University","ror":"https://ror.org/02e3zdp86","country_code":"US","type":"education","lineage":["https://openalex.org/I120156002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael D Ekstrand","raw_affiliation_strings":["Boise State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Boise State University","institution_ids":["https://openalex.org/I120156002"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043134791","display_name":"Robin Burke","orcid":"https://orcid.org/0000-0001-5766-6434"},"institutions":[{"id":"https://openalex.org/I2802236040","display_name":"University of Colorado System","ror":"https://ror.org/00jc20583","country_code":"US","type":"education","lineage":["https://openalex.org/I2802236040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robin Burke","raw_affiliation_strings":["University of Colorado"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Colorado","institution_ids":["https://openalex.org/I2802236040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101492251","display_name":"Fernando D\u00edaz","orcid":"https://orcid.org/0000-0003-2345-1288"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]},{"id":"https://openalex.org/I4402554038","display_name":"Microsoft Research Montr\u00e9al (Canada)","ror":"https://ror.org/05xdft911","country_code":null,"type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4402554038"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Fernando Diaz","raw_affiliation_strings":["Microsoft Research, Montr\u00e9al, Quebec"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Montr\u00e9al, Quebec","institution_ids":["https://openalex.org/I4210164937","https://openalex.org/I4402554038"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":44,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"576","last_page":"577"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.993399977684021,"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"}},"topics":[{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.993399977684021,"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":0.9923999905586243,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8308236002922058},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7733927369117737},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.741647481918335},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6724258065223694},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.6573320031166077},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5903509855270386},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.4996955394744873},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.41757112741470337},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40851062536239624},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3997260630130768}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8308236002922058},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7733927369117737},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.741647481918335},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6724258065223694},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6573320031166077},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5903509855270386},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.4996955394744873},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.41757112741470337},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40851062536239624},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3997260630130768},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3298689.3346964","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3298689.3346964","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3298689.3346964","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarworks.boisestate.edu:cs_facpubs-1215","is_oa":false,"landing_page_url":"https://scholarworks.boisestate.edu/cs_facpubs/209","pdf_url":null,"source":{"id":"https://openalex.org/S4306400258","display_name":"ScholarWorks (Boise State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I120156002","host_organization_name":"Boise State University","host_organization_lineage":["https://openalex.org/I120156002"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computer Science Faculty Publications and Presentations","raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3298689.3346964","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3298689.3346964","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3298689.3346964","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/10"},{"display_name":"Peace, Justice and strong institutions","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G5430501557","display_name":null,"funder_award_id":"17-51278","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6147268505","display_name":"CAREER: User-Based Simulation Methods for Quantifying Sources of Error and Bias in Recommender Systems","funder_award_id":"1751278","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8997526758","display_name":null,"funder_award_id":"IIS 17-51278","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2973078969.pdf","grobid_xml":"https://content.openalex.org/works/W2973078969.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W2462066163","https://openalex.org/W2612327332","https://openalex.org/W2727765976","https://openalex.org/W2746457569","https://openalex.org/W2786599105","https://openalex.org/W2787991113","https://openalex.org/W2888004646","https://openalex.org/W2894173082","https://openalex.org/W2897955056","https://openalex.org/W2897978524","https://openalex.org/W2898970033","https://openalex.org/W2964023221","https://openalex.org/W2972940946","https://openalex.org/W3099361686","https://openalex.org/W3099751307","https://openalex.org/W3102518922","https://openalex.org/W3104475013","https://openalex.org/W4288359825","https://openalex.org/W4300482433"],"related_works":["https://openalex.org/W130381036","https://openalex.org/W25098770","https://openalex.org/W2758702176","https://openalex.org/W104148947","https://openalex.org/W3088559275","https://openalex.org/W3168154995","https://openalex.org/W2948229652","https://openalex.org/W3100538332","https://openalex.org/W7602594","https://openalex.org/W219090214"],"abstract_inverted_index":{"Fairness":[0,55],"and":[1,14,26,43,50,53,68,75,99,106],"related":[2,27],"concerns":[3],"have":[4],"become":[5],"of":[6,12],"increasing":[7],"importance":[8],"in":[9,39],"a":[10,82],"variety":[11],"AI":[13],"machine":[15],"learning":[16],"contexts.":[17],"They":[18],"are":[19],"also":[20],"highly":[21],"relevant":[22],"to":[23,92,110],"recommender":[24],"systems":[25],"problems":[28],"such":[29,46],"as":[30,33,47],"information":[31,77],"retrieval,":[32],"evidenced":[34],"by":[35],"the":[36,48,54,111],"growing":[37,112],"literature":[38,113],"RecSys,":[40],"FAT*,":[41],"SIGIR,":[42],"special":[44],"sessions":[45],"FATREC":[49],"FACTS-IR":[51],"workshops":[52],"track":[56],"at":[57],"TREC":[58],"2019;":[59],"however,":[60],"translating":[61],"algorithmic":[62,93],"fairness":[63],"constructs":[64],"from":[65,103],"classification,":[66],"scoring,":[67],"even":[69],"many":[70],"ranking":[71],"settings":[72],"into":[73],"recommendation":[74],"other":[76,104],"access":[78],"scenarios":[79],"is":[80],"not":[81,101],"straightforward":[83],"task.":[84],"This":[85],"tutorial":[86],"will":[87],"help":[88],"orient":[89],"RecSys":[90],"researchers":[91],"fairness,":[94],"understand":[95],"how":[96],"concepts":[97],"do":[98,100],"translate":[102],"settings,":[105],"provide":[107],"an":[108],"introduction":[109],"on":[114],"this":[115],"topic.":[116]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
