{"id":"https://openalex.org/W1986908217","doi":"https://doi.org/10.1007/s10994-013-5382-3","title":"Calibration and regret bounds for order-preserving surrogate losses in learning to rank","display_name":"Calibration and regret bounds for order-preserving surrogate losses in learning to rank","publication_year":2013,"publication_date":"2013-08-13","ids":{"openalex":"https://openalex.org/W1986908217","doi":"https://doi.org/10.1007/s10994-013-5382-3","mag":"1986908217"},"language":"en","primary_location":{"id":"doi:10.1007/s10994-013-5382-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-013-5382-3","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs10994-013-5382-3.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007%2Fs10994-013-5382-3.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034842399","display_name":"Cl\u00e9ment Calauz\u00e8nes","orcid":null},"institutions":[{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I4210159731","display_name":"LIP6","ror":"https://ror.org/05krcen59","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I39804081","https://openalex.org/I4210159245","https://openalex.org/I4210159731"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Cl\u00e9ment Calauz\u00e8nes","raw_affiliation_strings":["Department of Computer Science (Laboratoire d\u2019Informatique de Paris 6), University Pierre et Marie Curie, Paris, France","Department of Computer Science (Laboratoire d'Informatique de Paris 6), University Pierre et Marie Curie, Paris, France#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science (Laboratoire d\u2019Informatique de Paris 6), University Pierre et Marie Curie, Paris, France","institution_ids":["https://openalex.org/I39804081","https://openalex.org/I4210159731"]},{"raw_affiliation_string":"Department of Computer Science (Laboratoire d'Informatique de Paris 6), University Pierre et Marie Curie, Paris, France#TAB#","institution_ids":["https://openalex.org/I39804081","https://openalex.org/I4210159731"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084360449","display_name":"Nicolas Usunier","orcid":"https://orcid.org/0000-0002-9324-1457"},"institutions":[{"id":"https://openalex.org/I102516824","display_name":"Universit\u00e9 de Technologie de Compi\u00e8gne","ror":"https://ror.org/04y5kwa70","country_code":"FR","type":"education","lineage":["https://openalex.org/I102516824"]},{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I4210159731","display_name":"LIP6","ror":"https://ror.org/05krcen59","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I39804081","https://openalex.org/I4210159245","https://openalex.org/I4210159731"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nicolas Usunier","raw_affiliation_strings":["Department of Computer Science (Laboratoire d\u2019Informatique de Paris 6), University Pierre et Marie Curie, Paris, France","Department of Computer Science (Laboratoire d'Informatique de Paris 6), University Pierre et Marie Curie, Paris, France and Heudiasyc, Universit\u00e9 Technologique de Compi\u00e8gne, Paris, Franc ...#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science (Laboratoire d\u2019Informatique de Paris 6), University Pierre et Marie Curie, Paris, France","institution_ids":["https://openalex.org/I39804081","https://openalex.org/I4210159731"]},{"raw_affiliation_string":"Department of Computer Science (Laboratoire d'Informatique de Paris 6), University Pierre et Marie Curie, Paris, France and Heudiasyc, Universit\u00e9 Technologique de Compi\u00e8gne, Paris, Franc ...#TAB#","institution_ids":["https://openalex.org/I102516824","https://openalex.org/I39804081","https://openalex.org/I4210159731"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113667126","display_name":"Patrick Gallinari","orcid":"https://orcid.org/0000-0003-3360-8269"},"institutions":[{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I4210159731","display_name":"LIP6","ror":"https://ror.org/05krcen59","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I39804081","https://openalex.org/I4210159245","https://openalex.org/I4210159731"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Patrick Gallinari","raw_affiliation_strings":["Department of Computer Science (Laboratoire d\u2019Informatique de Paris 6), University Pierre et Marie Curie, Paris, France","Department of Computer Science (Laboratoire d'Informatique de Paris 6), University Pierre et Marie Curie, Paris, France#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science (Laboratoire d\u2019Informatique de Paris 6), University Pierre et Marie Curie, Paris, France","institution_ids":["https://openalex.org/I39804081","https://openalex.org/I4210159731"]},{"raw_affiliation_string":"Department of Computer Science (Laboratoire d'Informatique de Paris 6), University Pierre et Marie Curie, Paris, France#TAB#","institution_ids":["https://openalex.org/I39804081","https://openalex.org/I4210159731"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5034842399"],"corresponding_institution_ids":["https://openalex.org/I39804081","https://openalex.org/I4210159731"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":5.3945,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.95623608,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"93","issue":"2-3","first_page":"227","last_page":"260"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.995199978351593,"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"}},"topics":[{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.995199978351593,"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.9944999814033508,"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"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9837999939918518,"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/regret","display_name":"Regret","score":0.8721648454666138},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.755173921585083},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5829137563705444},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5640515685081482},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.5555658936500549},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5480733513832092},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.5038749575614929},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.49097302556037903},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4838780164718628},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.4777509272098541},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.45801985263824463},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4374780058860779},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4225539565086365},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.390461802482605},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37511903047561646},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.317380428314209},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2824922204017639},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2223333716392517},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.09415864944458008}],"concepts":[{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.8721648454666138},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.755173921585083},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5829137563705444},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5640515685081482},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.5555658936500549},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5480733513832092},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.5038749575614929},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.49097302556037903},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4838780164718628},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.4777509272098541},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.45801985263824463},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4374780058860779},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4225539565086365},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.390461802482605},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37511903047561646},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.317380428314209},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2824922204017639},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2223333716392517},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.09415864944458008},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10994-013-5382-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-013-5382-3","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs10994-013-5382-3.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-00834230v1","is_oa":true,"landing_page_url":"https://hal.science/hal-00834230","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning, 2013, 93 (2-3), pp.227-260. &#x27E8;10.1007/s10994-013-5382-3&#x27E9;","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s10994-013-5382-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-013-5382-3","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs10994-013-5382-3.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1986908217.pdf","grobid_xml":"https://content.openalex.org/works/W1986908217.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W2169610","https://openalex.org/W69540849","https://openalex.org/W135190683","https://openalex.org/W1480538416","https://openalex.org/W1552767446","https://openalex.org/W1555168537","https://openalex.org/W1557324374","https://openalex.org/W1581941705","https://openalex.org/W1596136574","https://openalex.org/W1847363402","https://openalex.org/W1932717476","https://openalex.org/W1973435495","https://openalex.org/W1982032418","https://openalex.org/W2037140704","https://openalex.org/W2047221353","https://openalex.org/W2052448032","https://openalex.org/W2069870183","https://openalex.org/W2096520669","https://openalex.org/W2107275534","https://openalex.org/W2108278040","https://openalex.org/W2108862644","https://openalex.org/W2113640060","https://openalex.org/W2114028889","https://openalex.org/W2125398996","https://openalex.org/W2127176025","https://openalex.org/W2130700086","https://openalex.org/W2140472169","https://openalex.org/W2140634465","https://openalex.org/W2143166796","https://openalex.org/W2143331230","https://openalex.org/W2149166361","https://openalex.org/W2149427297","https://openalex.org/W2157791002","https://openalex.org/W2212774062","https://openalex.org/W2218302223","https://openalex.org/W2595970713","https://openalex.org/W2884475480","https://openalex.org/W2912748147","https://openalex.org/W2949822670","https://openalex.org/W2949887805","https://openalex.org/W4285719527","https://openalex.org/W4293203252","https://openalex.org/W6633420256","https://openalex.org/W6640391051","https://openalex.org/W6676820533","https://openalex.org/W6678570837","https://openalex.org/W6681141011","https://openalex.org/W6681941867","https://openalex.org/W6747597888","https://openalex.org/W6763296836","https://openalex.org/W7043762925"],"related_works":["https://openalex.org/W2011472225","https://openalex.org/W2767338541","https://openalex.org/W3000057026","https://openalex.org/W3048565508","https://openalex.org/W3163984363","https://openalex.org/W3127142483","https://openalex.org/W4385565564","https://openalex.org/W2898073868","https://openalex.org/W2138488530","https://openalex.org/W4390446658"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2025-10-10T00:00:00"}
