{"id":"https://openalex.org/W2799759320","doi":"https://doi.org/10.24963/ijcai.2018/361","title":"Multinomial Logit Bandit with Linear Utility Functions","display_name":"Multinomial Logit Bandit with Linear Utility Functions","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2799759320","doi":"https://doi.org/10.24963/ijcai.2018/361","mag":"2799759320"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2018/361","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/361","pdf_url":"https://www.ijcai.org/proceedings/2018/0361.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2018/0361.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007900661","display_name":"Mingdong Ou","orcid":null},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingdong Ou","raw_affiliation_strings":["Alibaba Group, Hang Zhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hang Zhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100341075","display_name":"Nan Li","orcid":"https://orcid.org/0009-0003-9255-259X"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Li","raw_affiliation_strings":["Alibaba Group, Hang Zhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hang Zhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103861122","display_name":"Shenghuo Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenghuo Zhu","raw_affiliation_strings":["Alibaba Group, Hang Zhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hang Zhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069394608","display_name":"Rong Jin","orcid":"https://orcid.org/0000-0002-8797-4646"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Jin","raw_affiliation_strings":["Alibaba Group, Hang Zhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hang Zhou, China","institution_ids":["https://openalex.org/I45928872"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5007900661"],"corresponding_institution_ids":["https://openalex.org/I45928872"],"apc_list":null,"apc_paid":null,"fwci":1.1072366,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.79301969,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2602","last_page":"2608"},"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9970999956130981,"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":0.9965999722480774,"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":0.8774464130401611},{"id":"https://openalex.org/keywords/multinomial-logistic-regression","display_name":"Multinomial logistic regression","score":0.7791624069213867},{"id":"https://openalex.org/keywords/cardinality","display_name":"Cardinality (data modeling)","score":0.7711703181266785},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6028338074684143},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5507123470306396},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5461134314537048},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5177604556083679},{"id":"https://openalex.org/keywords/independence-of-irrelevant-alternatives","display_name":"Independence of irrelevant alternatives","score":0.44947052001953125},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4169076979160309},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30104953050613403},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2978840470314026},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2251702845096588},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.17229247093200684},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.07229042053222656}],"concepts":[{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.8774464130401611},{"id":"https://openalex.org/C117568660","wikidata":"https://www.wikidata.org/wiki/Q1650843","display_name":"Multinomial logistic regression","level":2,"score":0.7791624069213867},{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.7711703181266785},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6028338074684143},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5507123470306396},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5461134314537048},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5177604556083679},{"id":"https://openalex.org/C2776225642","wikidata":"https://www.wikidata.org/wiki/Q3150644","display_name":"Independence of irrelevant alternatives","level":3,"score":0.44947052001953125},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4169076979160309},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30104953050613403},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2978840470314026},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2251702845096588},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.17229247093200684},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.07229042053222656},{"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/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2018/361","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/361","pdf_url":"https://www.ijcai.org/proceedings/2018/0361.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2018/361","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/361","pdf_url":"https://www.ijcai.org/proceedings/2018/0361.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2799759320.pdf","grobid_xml":"https://content.openalex.org/works/W2799759320.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W35251828","https://openalex.org/W43928053","https://openalex.org/W50486269","https://openalex.org/W853679117","https://openalex.org/W1487320471","https://openalex.org/W1578264931","https://openalex.org/W2049934117","https://openalex.org/W2093562354","https://openalex.org/W2108114251","https://openalex.org/W2117923605","https://openalex.org/W2119738618","https://openalex.org/W2124832196","https://openalex.org/W2149721706","https://openalex.org/W2152898676","https://openalex.org/W2169572553","https://openalex.org/W2418554883","https://openalex.org/W2542446008","https://openalex.org/W2604900582","https://openalex.org/W2625050444","https://openalex.org/W2949186496","https://openalex.org/W2951505894","https://openalex.org/W2972989214","https://openalex.org/W3024987513","https://openalex.org/W4212901515","https://openalex.org/W4234228486","https://openalex.org/W4237452852","https://openalex.org/W4295526224","https://openalex.org/W4297775550","https://openalex.org/W4299286629"],"related_works":["https://openalex.org/W2754366419","https://openalex.org/W1977608054","https://openalex.org/W2247884528","https://openalex.org/W2032659428","https://openalex.org/W2804821734","https://openalex.org/W2064992158","https://openalex.org/W4241023880","https://openalex.org/W2098901506","https://openalex.org/W1553474779","https://openalex.org/W591791669"],"abstract_inverted_index":{"Multinomial":[0],"logit":[1,37],"bandit":[2],"is":[3,32,53,118,162,171],"a":[4,20,29,35,67,114],"sequential":[5],"subset":[6,22],"selection":[7],"problem":[8,72],"which":[9,31,117,170],"arises":[10],"in":[11],"many":[12],"applications.":[13],"In":[14,85,127],"each":[15],"round,":[16],"the":[17,57,74,78,98,106,132,158,165,179,182],"player":[18],"selects":[19],"K-cardinality":[21],"from":[23],"N":[24],"candidate":[25,123,174],"items,":[26],"and":[27,45,62,77,112,150],"receives":[28],"reward":[30,65],"governed":[33],"by":[34,93],"multinomial":[36],"(MNL)":[38],"choice":[39,136],"model":[40,61,110,137],"considering":[41],"both":[42],"item":[43,139,148],"utility":[44,134],"substitution":[46],"property":[47],"among":[48],"items.":[49],"The":[50],"player's":[51],"objective":[52],"to":[54,156],"dynamically":[55],"learn":[56],"parameters":[58,107],"of":[59,97,103,108,146,173,181],"MNL":[60,99,109,135],"maximize":[63],"cumulative":[64],"over":[66],"finite":[68],"horizon":[69],"T.":[70],"This":[71],"faces":[73],"exploration-exploitation":[75],"dilemma,":[76],"involved":[79],"combinatorial":[80],"nature":[81],"makes":[82],"it":[83],"non-trivial.":[84],"recent":[86],"years,":[87],"there":[88],"have":[89],"developed":[90],"some":[91],"algorithms":[92],"exploiting":[94],"specific":[95],"characteristics":[96],"model,":[100],"but":[101],"all":[102],"them":[104],"estimate":[105],"separately":[111],"incur":[113],"regret":[115,169],"bound":[116],"not":[119],"preferred":[120],"for":[121],"large":[122],"set":[124,175],"size":[125],"N.":[126],"this":[128],"paper,":[129],"we":[130],"consider":[131],"linear":[133,144],"whose":[138],"utilities":[140],"are":[141],"represented":[142],"as":[143],"functions":[145],"d-dimension":[147],"features,":[149],"propose":[151],"an":[152],"algorithm,":[153],"titled":[154],"LUMB,":[155],"exploit":[157],"underlying":[159],"structure.":[160],"It":[161],"proven":[163],"that":[164],"proposed":[166,183],"algorithm":[167],"achieves":[168],"free":[172],"size.":[176],"Experiments":[177],"show":[178],"superiority":[180],"algorithm.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
