{"id":"https://openalex.org/W4296604422","doi":"https://doi.org/10.1145/3523227.3547430","title":"Fair Ranking Metrics","display_name":"Fair Ranking Metrics","publication_year":2022,"publication_date":"2022-09-13","ids":{"openalex":"https://openalex.org/W4296604422","doi":"https://doi.org/10.1145/3523227.3547430"},"language":"en","primary_location":{"id":"doi:10.1145/3523227.3547430","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3523227.3547430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th 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/A5033870657","display_name":"Amifa Raj","orcid":"https://orcid.org/0000-0002-8874-6645"},"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":true,"raw_author_name":"Amifa Raj","raw_affiliation_strings":["People and Information Research Team, Dept of Computer Science, Boise State University, United States"],"affiliations":[{"raw_affiliation_string":"People and Information Research Team, Dept of Computer Science, Boise State University, United States","institution_ids":["https://openalex.org/I120156002"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5033870657"],"corresponding_institution_ids":["https://openalex.org/I120156002"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17142523,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"742","last_page":"743"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9812999963760376,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9812999963760376,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9718000292778015,"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"}},{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9677000045776367,"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/ranking","display_name":"Ranking (information retrieval)","score":0.8762348890304565},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7952241897583008},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.6252474784851074},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5883642435073853},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.549727737903595},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5031773447990417},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.48404330015182495},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38713037967681885},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.08907213807106018}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.8762348890304565},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7952241897583008},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.6252474784851074},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5883642435073853},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.549727737903595},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5031773447990417},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.48404330015182495},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38713037967681885},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.08907213807106018},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3523227.3547430","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3523227.3547430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM Conference on Recommender Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2155587858","https://openalex.org/W2787991113","https://openalex.org/W3023202929","https://openalex.org/W3094600186","https://openalex.org/W3102518922","https://openalex.org/W4284690424"],"related_works":["https://openalex.org/W2581240705","https://openalex.org/W2041353081","https://openalex.org/W1572278127","https://openalex.org/W4287690154","https://openalex.org/W3048366122","https://openalex.org/W3094502663","https://openalex.org/W2152204162","https://openalex.org/W1934841634","https://openalex.org/W4289552663","https://openalex.org/W4248570251"],"abstract_inverted_index":{"Information":[0],"access":[1],"systems":[2,9],"such":[3,39],"as":[4,30,40],"search":[5],"engines":[6],"and":[7,49,56,85],"recommender":[8],"often":[10],"display":[11],"results":[12],"in":[13,80,103],"a":[14],"sorted":[15],"ranked":[16,25],"list":[17,26],"based":[18,72],"on":[19,73],"their":[20,81],"relevance.":[21],"Fairness":[22,44],"of":[23],"these":[24],"has":[27],"received":[28],"attention":[29],"an":[31],"important":[32],"evaluation":[33],"criteria":[34],"along":[35],"with":[36],"traditional":[37],"metrics":[38,62,78,93],"utility":[41],"or":[42],"accuracy.":[43],"broadly":[45],"involves":[46],"both":[47,54],"provider":[48],"consumer":[50],"side":[51],"fairness":[52,69,82],"at":[53],"group":[55,68,96],"individual":[57],"levels.":[58],"Several":[59],"fair":[60,91],"ranking":[61,92],"have":[63],"been":[64],"proposed":[65],"to":[66,94,106],"measure":[67,95],"for":[70],"providers":[71],"various":[74],"\u201csensitive":[75],"attributes\u201d.":[76],"These":[77],"differ":[79],"goal,":[83],"assumptions,":[84],"implementations.":[86],"Although":[87],"there":[88],"are":[89],"several":[90],"fairness,":[97],"multiple":[98],"open":[99],"challenges":[100],"still":[101],"exist":[102],"this":[104],"area":[105],"consider.":[107]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}