{"id":"https://openalex.org/W2090589280","doi":"https://doi.org/10.1145/2556195.2556256","title":"Relative confidence sampling for efficient on-line ranker evaluation","display_name":"Relative confidence sampling for efficient on-line ranker evaluation","publication_year":2014,"publication_date":"2014-02-18","ids":{"openalex":"https://openalex.org/W2090589280","doi":"https://doi.org/10.1145/2556195.2556256","mag":"2090589280"},"language":"en","primary_location":{"id":"doi:10.1145/2556195.2556256","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2556195.2556256","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th ACM international conference on Web search and data mining","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/A5066732643","display_name":"Masrour Zoghi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135670","display_name":"Amsterdam University of the Arts","ror":"https://ror.org/04dde1554","country_code":"NL","type":"education","lineage":["https://openalex.org/I4210135670"]},{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Masrour Zoghi","raw_affiliation_strings":["University of Amsterdam, Amsterdam, Netherlands","university of Amsterdam, Amsterdam, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Amsterdam, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I4210135670","https://openalex.org/I887064364"]},{"raw_affiliation_string":"university of Amsterdam, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I4210135670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056879203","display_name":"Shimon Whiteson","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135670","display_name":"Amsterdam University of the Arts","ror":"https://ror.org/04dde1554","country_code":"NL","type":"education","lineage":["https://openalex.org/I4210135670"]},{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Shimon A. Whiteson","raw_affiliation_strings":["University of Amsterdam, Amsterdam, Netherlands","university of Amsterdam, Amsterdam, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Amsterdam, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I4210135670","https://openalex.org/I887064364"]},{"raw_affiliation_string":"university of Amsterdam, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I4210135670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031439294","display_name":"Maarten de Rijke","orcid":"https://orcid.org/0000-0002-1086-0202"},"institutions":[{"id":"https://openalex.org/I4210135670","display_name":"Amsterdam University of the Arts","ror":"https://ror.org/04dde1554","country_code":"NL","type":"education","lineage":["https://openalex.org/I4210135670"]},{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Maarten de Rijke","raw_affiliation_strings":["University of Amsterdam, Amsterdam, Netherlands","university of Amsterdam, Amsterdam, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Amsterdam, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I4210135670","https://openalex.org/I887064364"]},{"raw_affiliation_string":"university of Amsterdam, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I4210135670"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016419651","display_name":"R\u00e9mi Munos","orcid":null},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210138412","display_name":"Centre Inria de l'Universit\u00e9 de Lille","ror":"https://ror.org/04eej9726","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210138412"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Remi Munos","raw_affiliation_strings":["INRIA Lille - Nord Europe, Villeneuve d'Ascq, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INRIA Lille - Nord Europe, Villeneuve d'Ascq, France","institution_ids":["https://openalex.org/I4210138412","https://openalex.org/I1326498283"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.042,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.95141471,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"73","last_page":"82"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":1.0,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9988999962806702,"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/T12288","display_name":"Optimization and Search Problems","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9108307361602783},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6997367143630981},{"id":"https://openalex.org/keywords/thompson-sampling","display_name":"Thompson sampling","score":0.5821769833564758},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.5075920820236206},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5051088929176331},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49557197093963623},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4712317883968353},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4708765745162964},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4655728042125702},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4600074589252472},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3862508237361908},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.21728983521461487},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18159431219100952}],"concepts":[{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.9108307361602783},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6997367143630981},{"id":"https://openalex.org/C73602740","wikidata":"https://www.wikidata.org/wiki/Q7795822","display_name":"Thompson sampling","level":3,"score":0.5821769833564758},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.5075920820236206},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5051088929176331},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49557197093963623},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4712317883968353},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4708765745162964},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4655728042125702},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4600074589252472},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3862508237361908},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.21728983521461487},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18159431219100952},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"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/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2556195.2556256","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2556195.2556256","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th ACM international conference on Web search and data mining","raw_type":"proceedings-article"},{"id":"pmh:oai:dare.uva.nl:openaire_cris_publications/ca7fbd7e-aba6-4223-8347-38b586d09bbf","is_oa":false,"landing_page_url":"https://dare.uva.nl/personal/pure/en/publications/relative-confidence-sampling-for-efficient-online-ranker-evaluation(ca7fbd7e-aba6-4223-8347-38b586d09bbf).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Zoghi, M, Whiteson, S, de Rijke, M & Munos, R 2014, Relative confidence sampling for efficient on-line ranker evaluation. in WSDM '14: proceedings of the 7th ACM International Conference on Web Search and Data Mining: February 24-28, 2014, New York, New York, USA. New York, pp. 73-82, 7th ACM International Conference on Web Search and Data Mining (WSDM2014), 24/02/14. https://doi.org/10.1145/2556195.2556256","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.673.7564","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.673.7564","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ilps.science.uva.nl/sites/ilps.science.uva.nl/files/wsdm2014-evaluation.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W50636094","https://openalex.org/W57706852","https://openalex.org/W135190683","https://openalex.org/W1493008453","https://openalex.org/W1495821370","https://openalex.org/W1518788040","https://openalex.org/W1911551976","https://openalex.org/W1969114939","https://openalex.org/W1976876561","https://openalex.org/W1982530130","https://openalex.org/W1983670565","https://openalex.org/W1984770088","https://openalex.org/W1992549066","https://openalex.org/W2009551863","https://openalex.org/W2009979684","https://openalex.org/W2037140704","https://openalex.org/W2039522160","https://openalex.org/W2041576073","https://openalex.org/W2044493620","https://openalex.org/W2047221353","https://openalex.org/W2073248814","https://openalex.org/W2094790959","https://openalex.org/W2096678000","https://openalex.org/W2108738385","https://openalex.org/W2110582581","https://openalex.org/W2120090487","https://openalex.org/W2135753071","https://openalex.org/W2144952090","https://openalex.org/W2154739689","https://openalex.org/W2156541733","https://openalex.org/W2158319693","https://openalex.org/W2160471965","https://openalex.org/W2163996478","https://openalex.org/W2168405694","https://openalex.org/W2249408652","https://openalex.org/W2407295445","https://openalex.org/W2784672094","https://openalex.org/W2884475480","https://openalex.org/W2951665052","https://openalex.org/W2952908320","https://openalex.org/W3018927757","https://openalex.org/W6602052860","https://openalex.org/W6676077707","https://openalex.org/W6691531235","https://openalex.org/W6747597888","https://openalex.org/W7043762925"],"related_works":["https://openalex.org/W3108185025","https://openalex.org/W1850547517","https://openalex.org/W2964125852","https://openalex.org/W3176022311","https://openalex.org/W3046298489","https://openalex.org/W3048056964","https://openalex.org/W4287690869","https://openalex.org/W2772359885","https://openalex.org/W3015709540","https://openalex.org/W4287816990"],"abstract_inverted_index":{"A":[0],"key":[1],"challenge":[2],"in":[3,24,103],"information":[4],"retrieval":[5],"is":[6],"that":[7,90,130],"of":[8,15,19,29,58],"on-line":[9],"ranker":[10],"evaluation:":[11],"determining":[12],"which":[13,46],"one":[14],"a":[16,72,82],"finite":[17],"set":[18],"rankers":[20,67,105],"performs":[21],"the":[22,27,37,56,60,66],"best":[23],"expectation":[25],"on":[26,32,137],"basis":[28],"user":[30],"clicks":[31],"presented":[33,38],"document":[34],"lists.":[35],"When":[36],"lists":[39,48],"are":[40],"constructed":[41],"using":[42],"interleaved":[43],"comparison":[44,114],"methods,":[45,120],"interleave":[47],"proposed":[49],"by":[50,96],"two":[51,118],"different":[52],"candidate":[53],"rankers,":[54],"then":[55],"problem":[57],"minimizing":[59],"total":[61],"regret":[62,95],"accumulated":[63],"while":[64],"evaluating":[65],"can":[68,132],"be":[69],"formalized":[70],"as":[71],"K-armed":[73],"dueling":[74],"bandits":[75],"problem.":[76],"In":[77,108],"this":[78],"paper,":[79],"we":[80,110],"propose":[81],"new":[83],"method":[84],"called":[85],"relative":[86,121],"confidence":[87,123],"sampling":[88],"(RCS)":[89],"aims":[91],"to":[92,141],"reduce":[93],"cumulative":[94],"being":[97],"less":[98],"conservative":[99],"than":[100],"existing":[101],"methods":[102],"eliminating":[104],"from":[106],"contention.":[107],"addition,":[109],"present":[111],"an":[112],"empirical":[113],"between":[115],"RCS":[116,131],"and":[117,125],"state-of-the-art":[119],"upper":[122],"bound":[124],"SAVAGE.":[126],"The":[127],"results":[128],"demonstrate":[129],"substantially":[133],"outperform":[134],"these":[135],"alternatives":[136],"several":[138],"large":[139],"learning":[140],"rank":[142],"datasets.":[143]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
