{"id":"https://openalex.org/W2963016065","doi":"https://doi.org/10.1145/3331184.3331380","title":"Fairness and Discrimination in Retrieval and Recommendation","display_name":"Fairness and Discrimination in Retrieval and Recommendation","publication_year":2019,"publication_date":"2019-07-18","ids":{"openalex":"https://openalex.org/W2963016065","doi":"https://doi.org/10.1145/3331184.3331380","mag":"2963016065"},"language":"en","primary_location":{"id":"doi:10.1145/3331184.3331380","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3331184.3331380","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3331184.3331380","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval","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/10.1145/3331184.3331380","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, Boise, ID, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Boise State University, Boise, ID, USA","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/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robin Burke","raw_affiliation_strings":["University of Colorado, Boulder, CO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Colorado, Boulder, CO, USA","institution_ids":["https://openalex.org/I188538660"]}]},{"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/I4210153468","display_name":"Microsoft (Canada)","ror":"https://ror.org/04xhxg104","country_code":"CA","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210153468"]},{"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":["CA"],"is_corresponding":false,"raw_author_name":"Fernando Diaz","raw_affiliation_strings":["Microsoft Research, Montreal, PQ, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Montreal, PQ, Canada","institution_ids":["https://openalex.org/I4210153468","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":47,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1403","last_page":"1404"},"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":0.9958999752998352,"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":0.9958999752998352,"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":0.9797999858856201,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9460999965667725,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8560401201248169},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7153212428092957},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.7077596783638},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6558056473731995},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.639937162399292},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6272905468940735},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.5098994970321655},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4005061686038971},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3769008219242096},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3714289367198944}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8560401201248169},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7153212428092957},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.7077596783638},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6558056473731995},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.639937162399292},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6272905468940735},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.5098994970321655},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4005061686038971},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3769008219242096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3714289367198944},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3331184.3331380","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3331184.3331380","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3331184.3331380","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3331184.3331380","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3331184.3331380","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3331184.3331380","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval","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":0.44999998807907104,"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/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/W2963016065.pdf","grobid_xml":"https://content.openalex.org/works/W2963016065.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/W3127142483","https://openalex.org/W4385565564","https://openalex.org/W2898073868","https://openalex.org/W2138488530","https://openalex.org/W4390446658","https://openalex.org/W2971071571","https://openalex.org/W2798835721","https://openalex.org/W2922169395","https://openalex.org/W2387658907","https://openalex.org/W25098770"],"abstract_inverted_index":{"Fairness":[0,52],"and":[1,14,26,42,50,65,73,96,103],"related":[2,27],"concerns":[3],"have":[4],"become":[5],"of":[6,12],"increasing":[7],"importance":[8],"in":[9,38],"a":[10,78],"variety":[11],"AI":[13],"machine":[15],"learning":[16],"contexts.":[17],"They":[18],"are":[19],"also":[20],"highly":[21],"relevant":[22],"to":[23,85,89,107],"information":[24,71],"retrieval":[25,72],"problems":[28],"such":[29,45],"as":[30,32,46],"recommendation,":[31],"evidenced":[33],"by":[34],"the":[35,47,51,108],"growing":[36,109],"literature":[37,110],"SIGIR,":[39],"FAT*,":[40],"RecSys,":[41],"special":[43],"sessions":[44],"FATREC":[48],"workshop":[49],"track":[53],"at":[54],"TREC":[55],"2019;":[56],"however,":[57],"translating":[58],"algorithmic":[59,90],"fairness":[60],"constructs":[61],"from":[62,100],"classification,":[63],"scoring,":[64],"even":[66],"many":[67],"ranking":[68],"settings":[69],"into":[70],"recommendation":[74],"scenarios":[75],"is":[76],"not":[77,98],"straightforward":[79],"task.":[80],"This":[81],"tutorial":[82],"will":[83],"help":[84],"orient":[86],"IR":[87],"researchers":[88],"fairness,":[91],"understand":[92],"how":[93],"concepts":[94],"do":[95,97],"translate":[99],"other":[101],"settings,":[102],"provide":[104],"an":[105],"introduction":[106],"on":[111],"this":[112],"topic.":[113]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}