{"id":"https://openalex.org/W3211186406","doi":"https://doi.org/10.1109/dsaa53316.2021.9564225","title":"Two-Phase Multi-armed Bandit for Online Recommendation","display_name":"Two-Phase Multi-armed Bandit for Online Recommendation","publication_year":2021,"publication_date":"2021-10-06","ids":{"openalex":"https://openalex.org/W3211186406","doi":"https://doi.org/10.1109/dsaa53316.2021.9564225","mag":"3211186406"},"language":"en","primary_location":{"id":"doi:10.1109/dsaa53316.2021.9564225","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsaa53316.2021.9564225","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA)","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/A5057832613","display_name":"Cairong Yan","orcid":"https://orcid.org/0000-0003-0313-8833"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cairong Yan","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University,Shanghai,China","School of Computer Science and Technology, Donghua University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University,Shanghai,China","institution_ids":["https://openalex.org/I181326427"]},{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030066063","display_name":"Haixia Han","orcid":null},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haixia Han","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University,Shanghai,China","School of Computer Science and Technology, Donghua University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University,Shanghai,China","institution_ids":["https://openalex.org/I181326427"]},{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100371707","display_name":"Zijian Wang","orcid":"https://orcid.org/0000-0002-7190-9620"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zijian Wang","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University,Shanghai,China","School of Computer Science and Technology, Donghua University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University,Shanghai,China","institution_ids":["https://openalex.org/I181326427"]},{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100611270","display_name":"Yanting Zhang","orcid":"https://orcid.org/0000-0001-6317-1956"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanting Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University,Shanghai,China","School of Computer Science and Technology, Donghua University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University,Shanghai,China","institution_ids":["https://openalex.org/I181326427"]},{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5057832613"],"corresponding_institution_ids":["https://openalex.org/I181326427"],"apc_list":null,"apc_paid":null,"fwci":0.3486,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.64081645,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9894999861717224,"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"}},{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","score":0.9775000214576721,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7991743087768555},{"id":"https://openalex.org/keywords/multi-armed-bandit","display_name":"Multi-armed bandit","score":0.6231780052185059},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5412222146987915},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.4948825240135193},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.47857144474983215},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4719464182853699},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.4108211398124695},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35568767786026},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34020471572875977}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7991743087768555},{"id":"https://openalex.org/C123197309","wikidata":"https://www.wikidata.org/wiki/Q2882343","display_name":"Multi-armed bandit","level":3,"score":0.6231780052185059},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5412222146987915},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.4948825240135193},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.47857144474983215},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4719464182853699},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.4108211398124695},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35568767786026},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34020471572875977},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsaa53316.2021.9564225","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsaa53316.2021.9564225","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3534497383","display_name":null,"funder_award_id":"2232021D-25","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W148122774","https://openalex.org/W157259654","https://openalex.org/W1839697241","https://openalex.org/W1850547517","https://openalex.org/W1981698497","https://openalex.org/W2030481925","https://openalex.org/W2054789704","https://openalex.org/W2091780923","https://openalex.org/W2108738385","https://openalex.org/W2112420033","https://openalex.org/W2136051823","https://openalex.org/W2137245235","https://openalex.org/W2158807713","https://openalex.org/W2168405694","https://openalex.org/W2182342230","https://openalex.org/W2394764681","https://openalex.org/W2750237488","https://openalex.org/W2790360016","https://openalex.org/W2799848466","https://openalex.org/W2893370267","https://openalex.org/W2962818688","https://openalex.org/W2970728282","https://openalex.org/W2973218949","https://openalex.org/W3034511923","https://openalex.org/W3085555662","https://openalex.org/W3098366254","https://openalex.org/W3145420831","https://openalex.org/W4206530644","https://openalex.org/W4298328120","https://openalex.org/W6606032028","https://openalex.org/W6606420716","https://openalex.org/W6638804227","https://openalex.org/W6638827766","https://openalex.org/W6645568758","https://openalex.org/W6676077707","https://openalex.org/W6683178623","https://openalex.org/W6686200487","https://openalex.org/W6712000271","https://openalex.org/W6734664650","https://openalex.org/W6767928194","https://openalex.org/W6779558354","https://openalex.org/W7070499600"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2358294942","https://openalex.org/W4287115590","https://openalex.org/W3176376493","https://openalex.org/W4367460280","https://openalex.org/W3130568094"],"abstract_inverted_index":{"Personalized":[0],"online":[1,39],"recommendations":[2],"strive":[3],"to":[4,8,72,89,120,198],"adapt":[5],"their":[6],"services":[7],"individual":[9,114],"users":[10,75,95],"by":[11,194],"making":[12],"use":[13,107,135],"of":[14,25,41,104,113,145],"both":[15],"item":[16,92,108],"and":[17,57,66,125,147,183],"user":[18],"information.":[19],"Despite":[20],"recent":[21],"progress,":[22],"the":[23,37,51,77,83,122,130,136,140,187,191,199,203],"issue":[24],"balancing":[26],"exploitation-exploration":[27],"(EE)":[28],"[1]":[29],"remains":[30],"challenging.":[31],"In":[32,82,129],"this":[33],"paper,":[34],"we":[35,133],"model":[36],"personalized":[38],"recommendation":[40,80,173,192],"e-commence":[42],"as":[43,110,143,180],"a":[44,67,101],"two-phase":[45,188],"multi-armed":[46,63],"bandit":[47,64],"problem.":[48],"This":[49],"is":[50,70,87],"first":[52,84,141],"time":[53],"that":[54,94,163],"&#x201C;big":[55],"arm&#x201D;":[56,59],"&#x201C;small":[58],"are":[60],"introduced":[61],"into":[62],"(MAB),":[65],"two-stage":[68],"strategy":[69],"adopted":[71],"provide":[73],"target":[74],"with":[76],"most":[78],"suitable":[79],"list.":[81],"phase,":[85,132],"MAB":[86,146],"used":[88],"obtain":[90,148],"an":[91],"subset":[93],"may":[96],"be":[97],"interested":[98],"in":[99,116,139,175,202],"from":[100,154],"large":[102],"number":[103],"items.":[105],"We":[106],"categories":[109],"arms":[111,144],"instead":[112],"items":[115,137],"existing":[117],"related":[118],"models":[119],"control":[121],"arm":[123],"scale":[124],"reduce":[126],"computational":[127],"complexity.":[128],"second":[131],"directly":[134],"generated":[138],"phase":[142],"rewards":[149],"through":[150],"fine-grained":[151],"implicit":[152],"feedback":[153],"users.":[155],"Empirical":[156],"studies":[157],"on":[158],"three":[159],"real-world":[160],"datasets":[161],"show":[162],"our":[164],"proposed":[165],"method":[166,189,201],"TPBandit":[167],"performs":[168],"better":[169],"than":[170],"state-of-the-art":[171],"bandit-based":[172],"methods":[174],"several":[176],"evaluation":[177],"metrics":[178],"such":[179],"Precision,":[181],"Recall,":[182],"Hit":[184],"Ratio.":[185],"Moreover,":[186],"improves":[190],"performance":[193],"nearly":[195],"50&#x0025;":[196],"compared":[197],"one-phase":[200],"best":[204],"case.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
