{"id":"https://openalex.org/W2779573052","doi":"https://doi.org/10.1145/3299869.3300079","title":"Designing Fair Ranking Schemes","display_name":"Designing Fair Ranking Schemes","publication_year":2019,"publication_date":"2019-06-18","ids":{"openalex":"https://openalex.org/W2779573052","doi":"https://doi.org/10.1145/3299869.3300079","mag":"2779573052"},"language":"en","primary_location":{"id":"doi:10.1145/3299869.3300079","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3299869.3300079","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3299869.3300079","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 International Conference on Management of Data","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3299869.3300079","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027319416","display_name":"Abolfazl Asudeh","orcid":"https://orcid.org/0000-0002-5251-6186"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Abolfazl Asudeh","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI, USA","\u2021University of Michigan, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"\u2021University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087012731","display_name":"H. V. Jagadish","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"H. V. Jagadish","raw_affiliation_strings":["University of Micihgan, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"University of Micihgan, Ann Arbor, MI, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082830839","display_name":"Julia Stoyanovich","orcid":"https://orcid.org/0000-0002-1587-0450"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Julia Stoyanovich","raw_affiliation_strings":["New York University, New York, NY, USA","New York University,New York,NY,USA"],"affiliations":[{"raw_affiliation_string":"New York University, New York, NY, USA","institution_ids":["https://openalex.org/I57206974"]},{"raw_affiliation_string":"New York University,New York,NY,USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002203026","display_name":"Gautam Das","orcid":"https://orcid.org/0000-0002-4627-9065"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gautam Das","raw_affiliation_strings":["University of Texas at Arlington, Arlington, TX, USA","University of Texas at Arlington, Arlington TX USA"],"affiliations":[{"raw_affiliation_string":"University of Texas at Arlington, Arlington, TX, USA","institution_ids":["https://openalex.org/I189196454"]},{"raw_affiliation_string":"University of Texas at Arlington, Arlington TX USA","institution_ids":["https://openalex.org/I189196454"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5027319416"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":1.3357,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.80517346,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1259","last_page":"1276"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9822999835014343,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9800000190734863,"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/ranking","display_name":"Ranking (information retrieval)","score":0.8656473159790039},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.658047616481781},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6548604369163513},{"id":"https://openalex.org/keywords/sort","display_name":"sort","score":0.6535899639129639},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6503774523735046},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5709468126296997},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5464767217636108},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5318108797073364},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4975872337818146},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4893330931663513},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.44192183017730713},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.42193999886512756},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.34921321272850037},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3441687226295471},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28720346093177795},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24723604321479797},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1679198443889618}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.8656473159790039},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.658047616481781},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6548604369163513},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.6535899639129639},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6503774523735046},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5709468126296997},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5464767217636108},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5318108797073364},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4975872337818146},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4893330931663513},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.44192183017730713},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.42193999886512756},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34921321272850037},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3441687226295471},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28720346093177795},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24723604321479797},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1679198443889618},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1145/3299869.3300079","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3299869.3300079","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3299869.3300079","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 International Conference on Management of Data","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1712.09752","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1712.09752","pdf_url":"https://arxiv.org/pdf/1712.09752","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2779573052","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1712.09752.pdf","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1712.09752","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1712.09752","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-journal"},{"id":"doi:10.5446/43589","is_oa":true,"landing_page_url":"https://doi.org/10.5446/43589","pdf_url":null,"source":{"id":"https://openalex.org/S7407052952","display_name":"TIB KMO / FLOWWORKS GmbH","issn_l":null,"issn":[],"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.1145/3299869.3300079","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3299869.3300079","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3299869.3300079","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 International Conference on Management of Data","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G1173008994","display_name":null,"funder_award_id":"W911NF-15-1-0020","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2068050820","display_name":null,"funder_award_id":"1741022, 1250880, 1741047, 1745925","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3560180042","display_name":null,"funder_award_id":"1250880","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3710419309","display_name":null,"funder_award_id":"1741022","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5241881333","display_name":null,"funder_award_id":"1741047","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5385673730","display_name":null,"funder_award_id":"W911NF-15-1-","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G7452299184","display_name":null,"funder_award_id":"W911NF","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G7566015493","display_name":null,"funder_award_id":"1745925","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7664543049","display_name":null,"funder_award_id":"W911NF-15-1-0020","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G8998121839","display_name":null,"funder_award_id":"911NF","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2779573052.pdf","grobid_xml":"https://content.openalex.org/works/W2779573052.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W166438205","https://openalex.org/W377884864","https://openalex.org/W1502022432","https://openalex.org/W1978999053","https://openalex.org/W1993320088","https://openalex.org/W2005314985","https://openalex.org/W2006447892","https://openalex.org/W2008196645","https://openalex.org/W2009688537","https://openalex.org/W2014352947","https://openalex.org/W2037098674","https://openalex.org/W2041852740","https://openalex.org/W2053431631","https://openalex.org/W2084224084","https://openalex.org/W2092181172","https://openalex.org/W2100960835","https://openalex.org/W2116936708","https://openalex.org/W2119806435","https://openalex.org/W2143858016","https://openalex.org/W2168535456","https://openalex.org/W2193968147","https://openalex.org/W2274184223","https://openalex.org/W2524301210","https://openalex.org/W2544318541","https://openalex.org/W2591955099","https://openalex.org/W2597425331","https://openalex.org/W2608807961","https://openalex.org/W2612011639","https://openalex.org/W2666600683","https://openalex.org/W2666919929","https://openalex.org/W2704480242","https://openalex.org/W2726816714","https://openalex.org/W2793509414","https://openalex.org/W2952154529","https://openalex.org/W2963118614","https://openalex.org/W3123374861","https://openalex.org/W4206237997","https://openalex.org/W6638208828","https://openalex.org/W6737016370","https://openalex.org/W6740141688","https://openalex.org/W6750516253"],"related_works":["https://openalex.org/W2544318541","https://openalex.org/W3211265021","https://openalex.org/W3035291455","https://openalex.org/W2704480242","https://openalex.org/W3171765473","https://openalex.org/W2798997222","https://openalex.org/W2912638141","https://openalex.org/W3081145189","https://openalex.org/W2951433680","https://openalex.org/W3093910175","https://openalex.org/W3152757293","https://openalex.org/W1969327548","https://openalex.org/W2973171206","https://openalex.org/W2585917970","https://openalex.org/W13468759","https://openalex.org/W3196165573","https://openalex.org/W2963118614","https://openalex.org/W3124009622","https://openalex.org/W3199682942","https://openalex.org/W3081985761"],"abstract_inverted_index":{"Items":[0],"from":[1],"a":[2,9,58,83,104,107,111],"database":[3],"are":[4,176],"often":[5],"ranked":[6],"based":[7],"on":[8,94,169],"combination":[10,21],"of":[11,27,79,86,114],"criteria.":[12,132],"The":[13],"weight":[14,193],"given":[15],"to":[16,43,68,122,141,159,178,191],"each":[17,80],"criterion":[18,64],"in":[19,106,126],"the":[20,25,28,41,77,150,161],"can":[22,100],"greatly":[23],"affect":[24],"fairness":[26,115,152,183],"produced":[29],"ranking,":[30],"for":[31],"example,":[32],"preferring":[33],"men":[34],"over":[35],"women.":[36],"A":[37],"user":[38],"may":[39],"have":[40],"flexibility":[42],"choose":[44,63],"combinations":[45],"that":[46,60,66,75,129,164,173,181],"weigh":[47],"these":[48,131],"criteria":[49,153,184],"differently,":[50],"within":[51],"limits.":[52],"In":[53],"this":[54,127,134],"paper,":[55],"we":[56,119],"develop":[57],"system":[59,138],"helps":[61],"users":[62,143],"weights":[65],"lead":[67],"greater":[69],"fairness.":[70],"We":[71],"consider":[72],"ranking":[73,98,147],"functions":[74],"compute":[76],"score":[78],"item":[81],"as":[82,103],"weighted":[84],"sum":[85],"(numeric)":[87],"attribute":[88],"values,":[89],"and":[90,195],"then":[91],"sort":[92],"items":[93],"their":[95,145],"score.":[96],"Each":[97],"function":[99,148],"be":[101],"expressed":[102],"point":[105],"multi-dimensional":[108],"space.":[109],"For":[110],"broad":[112],"range":[113],"criteria,":[116],"including":[117],"proportionality,":[118],"show":[120],"how":[121],"efficiently":[123,196],"identify":[124],"regions":[125],"space":[128],"satisfy":[130,182],"Using":[133],"identification":[135],"method,":[136],"our":[137,174],"is":[139],"able":[140,177],"tell":[142],"whether":[144],"proposed":[146,192],"satisfies":[149],"desired":[151],"and,":[154],"if":[155],"it":[156],"does":[157],"not,":[158],"suggest":[160],"smallest":[162],"modification":[163],"does.":[165],"Our":[166],"extensive":[167],"experiments":[168],"real":[170],"datasets":[171],"demonstrate":[172],"methods":[175],"find":[179],"solutions":[180],"effectively":[185],"(usually":[186],"with":[187],"only":[188],"small":[189],"changes":[190],"vectors)":[194],"(in":[197],"interactive":[198],"time,":[199],"after":[200],"some":[201],"initial":[202],"pre-processing).":[203]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
