{"id":"https://openalex.org/W2964649360","doi":"https://doi.org/10.24963/ijcai.2019/396","title":"Cascading Non-Stationary Bandits: Online Learning to Rank in the Non-Stationary Cascade Model","display_name":"Cascading Non-Stationary Bandits: Online Learning to Rank in the Non-Stationary Cascade Model","publication_year":2019,"publication_date":"2019-07-28","ids":{"openalex":"https://openalex.org/W2964649360","doi":"https://doi.org/10.24963/ijcai.2019/396","mag":"2964649360"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2019/396","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/396","pdf_url":"https://www.ijcai.org/proceedings/2019/0396.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2019/0396.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Chang Li","orcid":null},"institutions":[{"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":true,"raw_author_name":"Chang Li","raw_affiliation_strings":["University of Amsterdam"],"affiliations":[{"raw_affiliation_string":"University of Amsterdam","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"last","author":{"id":null,"display_name":"Maarten de Rijke","orcid":null},"institutions":[{"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"],"affiliations":[{"raw_affiliation_string":"University of Amsterdam","institution_ids":["https://openalex.org/I887064364"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I887064364"],"apc_list":null,"apc_paid":null,"fwci":1.0311,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.79619398,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2859","last_page":"2865"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9998999834060669,"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":0.9998999834060669,"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/T12288","display_name":"Optimization and Search Problems","score":0.9968000054359436,"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"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8167999982833862},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.7071999907493591},{"id":"https://openalex.org/keywords/online-learning","display_name":"Online learning","score":0.6118999719619751},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.6074000000953674},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5971999764442444},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.5756000280380249},{"id":"https://openalex.org/keywords/information-cascade","display_name":"Information cascade","score":0.4837999939918518},{"id":"https://openalex.org/keywords/online-algorithm","display_name":"Online algorithm","score":0.45089998841285706}],"concepts":[{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.8167999982833862},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.7071999907493591},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.6118999719619751},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.6074000000953674},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5971999764442444},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5931000113487244},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.5756000280380249},{"id":"https://openalex.org/C27286358","wikidata":"https://www.wikidata.org/wiki/Q6031027","display_name":"Information cascade","level":2,"score":0.4837999939918518},{"id":"https://openalex.org/C196921405","wikidata":"https://www.wikidata.org/wiki/Q786431","display_name":"Online algorithm","level":2,"score":0.45089998841285706},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4235000014305115},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.38519999384880066},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32760000228881836},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3140999972820282},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.305400013923645},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.29350000619888306},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.28130000829696655},{"id":"https://openalex.org/C176248197","wikidata":"https://www.wikidata.org/wiki/Q458526","display_name":"Probably approximately correct learning","level":4,"score":0.27900001406669617},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.2741999924182892},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.2727999985218048},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26930001378059387},{"id":"https://openalex.org/C311688","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Time complexity","level":2,"score":0.2662999927997589},{"id":"https://openalex.org/C21959979","wikidata":"https://www.wikidata.org/wiki/Q36774","display_name":"Web page","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.26010000705718994},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2556000053882599},{"id":"https://openalex.org/C44083865","wikidata":"https://www.wikidata.org/wiki/Q3853443","display_name":"Mean reciprocal rank","level":2,"score":0.2540000081062317},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.2513999938964844}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.24963/ijcai.2019/396","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/396","pdf_url":"https://www.ijcai.org/proceedings/2019/0396.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1905.12370","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1905.12370","pdf_url":"https://arxiv.org/pdf/1905.12370","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":"pmh:oai:dare.uva.nl:openaire/0121538f-bcdb-45a9-a147-8b7e3e2220fa","is_oa":true,"landing_page_url":"https://hdl.handle.net/11245.1/0121538f-bcdb-45a9-a147-8b7e3e2220fa","pdf_url":"https://pure.uva.nl/ws/files/55800266/1905.12370v1.pdf","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Li, C & de Rijke, M 2019 'Cascading Non-stationary Bandits: Online Learning to Rank in the Non-stationary Cascade Model' v1 edn, Ithaca, NY. < https://arxiv.org/abs/1905.12370 >","raw_type":"info:eu-repo/semantics/workingPaper"},{"id":"pmh:oai:dare.uva.nl:publications/d5c3c86d-557a-4eff-ae17-06d3aff3e3be","is_oa":true,"landing_page_url":"https://handle.uba.uva.nl/personal/pure/en/publications/cascading-nonstationary-bandits-online-learning-to-rank-in-the-nonstationary-cascade-model(d5c3c86d-557a-4eff-ae17-06d3aff3e3be).html","pdf_url":"https://pure.uva.nl/ws/files/63094834/1905.12370.pdf","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Li, C & de Rijke, M 2019, Cascading non-stationary bandits: Online learning to rank in the non-stationary cascade model. in S Kraus (ed.), Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence : IJCAI-19 : Macao, 10-16 August 2019. pp. 2859-2865, International Joint Conference on Artificial Intelligence (IJCAI) 2019, Macao, China, 10/08/19. https://doi.org/10.24963/ijcai.2019/396","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:uvapub:oai:dare.uva.nl:publications/d5c3c86d-557a-4eff-ae17-06d3aff3e3be","is_oa":true,"landing_page_url":"https://dare.uva.nl/personal/pure/en/publications/cascading-nonstationary-bandits-online-learning-to-rank-in-the-nonstationary-cascade-model(d5c3c86d-557a-4eff-ae17-06d3aff3e3be).html","pdf_url":"https://dare.uva.nl/personal/pure/en/publications/cascading-nonstationary-bandits-online-learning-to-rank-in-the-nonstationary-cascade-model(d5c3c86d-557a-4eff-ae17-06d3aff3e3be).html","source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"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":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence: IJCAI-19 : Macao, 10-16 August 2019, 2859 - 2865","raw_type":"info:eu-repo/semantics/conferencepaper"},{"id":"pmh:oai:dare.uva.nl:openaire_cris_publications/0121538f-bcdb-45a9-a147-8b7e3e2220fa","is_oa":true,"landing_page_url":"https://handle.uba.uva.nl/personal/pure/en/publications/cascading-nonstationary-bandits-online-learning-to-rank-in-the-nonstationary-cascade-model(0121538f-bcdb-45a9-a147-8b7e3e2220fa).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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Li, C & de Rijke, M 2019 'Cascading Non-stationary Bandits: Online Learning to Rank in the Non-stationary Cascade Model' v1 edn, Ithaca, NY. < https://arxiv.org/abs/1905.12370 >","raw_type":"info:eu-repo/semantics/workingPaper"},{"id":"pmh:uvapub:oai:dare.uva.nl:publications/0121538f-bcdb-45a9-a147-8b7e3e2220fa","is_oa":true,"landing_page_url":"https://dare.uva.nl/personal/pure/en/publications/cascading-nonstationary-bandits-online-learning-to-rank-in-the-nonstationary-cascade-model(0121538f-bcdb-45a9-a147-8b7e3e2220fa).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"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":"","raw_type":"info:eu-repo/semantics/workingpaper"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2019/396","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/396","pdf_url":"https://www.ijcai.org/proceedings/2019/0396.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2586376837","display_name":null,"funder_award_id":"612.001.551","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G629491556","display_name":null,"funder_award_id":"(NWO)","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"}],"funders":[{"id":"https://openalex.org/F4320321182","display_name":"VSNU Vereniging van Universiteiten","ror":"https://ror.org/05wvdt748"},{"id":"https://openalex.org/F4320321800","display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","ror":"https://ror.org/04jsz6e67"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2964649360.pdf","grobid_xml":"https://content.openalex.org/works/W2964649360.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Non-stationarity":[0],"appears":[1],"in":[2,23,36],"many":[3],"online":[4,18,55],"applications":[5],"such":[6],"as":[7],"web":[8,143],"search":[9,144],"and":[10,49,73,90,96,121],"advertising.":[11],"In":[12],"this":[13,86],"paper,":[14],"we":[15,136],"study":[16],"the":[17,40,44,59,76,102,115,127],"learning":[19,56],"to":[20,71,131],"rank":[21],"problem":[22,41],"a":[24,63,66,111,132,141],"non-stationary":[25,52,87,119],"environment":[26],"where":[27,62],"user":[28,64],"preferences":[29],"change":[30],"abruptly":[31],"at":[32],"an":[33,54],"unknown":[34],"moment":[35],"time.":[37],"We":[38,80,92,108],"consider":[39],"of":[42,58,105],"identifying":[43],"K":[45],"most":[46],"attractive":[47,78],"items":[48],"propose":[50,81],"cascading":[51,60,118],"bandits,":[53],"variant":[57],"model,":[61],"browses":[65],"ranked":[67],"list":[68],"from":[69],"top":[70],"bottom":[72],"clicks":[74],"on":[75,101,114,140],"first":[77],"item.":[79],"two":[82],"algorithms":[83,125],"for":[84,117],"solving":[85],"problem:":[88],"CascadeDUCB":[89],"CascadeSWUCB.":[91],"analyze":[93],"their":[94,138],"performance":[95,139],"derive":[97],"gap-dependent":[98],"upper":[99],"bounds":[100],"n-step":[103],"regret":[104,116],"these":[106],"algorithms.":[107],"also":[109],"establish":[110],"lower":[112,128],"bound":[113,129],"bandits":[120],"show":[122],"that":[123],"both":[124],"match":[126],"up":[130],"logarithmic":[133],"factor.":[134],"Finally,":[135],"evaluate":[137],"real-world":[142],"click":[145],"dataset.":[146]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2019-08-13T00:00:00"}
