{"id":"https://openalex.org/W4299952050","doi":"https://doi.org/10.1109/tmc.2022.3197459","title":"Combination of Auction Theory and Multi-Armed Bandits: Model, Algorithm, and Application","display_name":"Combination of Auction Theory and Multi-Armed Bandits: Model, Algorithm, and Application","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4299952050","doi":"https://doi.org/10.1109/tmc.2022.3197459"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2022.3197459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2022.3197459","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Mobile Computing","raw_type":"journal-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/A5017276929","display_name":"Guoju Gao","orcid":"https://orcid.org/0000-0002-0104-8263"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guoju Gao","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, P. R. China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045824432","display_name":"Sijie Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sijie Huang","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, P. R. China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101998852","display_name":"He Huang","orcid":"https://orcid.org/0000-0003-2768-6607"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Huang","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, P. R. China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064342057","display_name":"Mingjun Xiao","orcid":"https://orcid.org/0000-0001-7767-7763"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingjun Xiao","raw_affiliation_strings":["School of Computer Science and Technology / Suzhou Institute for Advanced Study, University of Science and Technology of China, Hefei, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology / Suzhou Institute for Advanced Study, University of Science and Technology of China, Hefei, P. R. China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100600528","display_name":"Jie Wu","orcid":"https://orcid.org/0000-0002-3472-1717"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jie Wu","raw_affiliation_strings":["Department of Computer and Information Sciences, Temple University, Philadelphia, PA"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Temple University, Philadelphia, PA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053110771","display_name":"Yu-E Sun","orcid":"https://orcid.org/0000-0002-0018-4810"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-E Sun","raw_affiliation_strings":["Rail Transportation Department, Soochow University, Suzhou, P. R. China"],"affiliations":[{"raw_affiliation_string":"Rail Transportation Department, Soochow University, Suzhou, P. R. China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100394022","display_name":"Sheng Zhang","orcid":"https://orcid.org/0000-0002-6581-6399"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Zhang","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology / Department of Computer Science and Technology, Nanjing University, Nanjing, P. R. China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology / Department of Computer Science and Technology, Nanjing University, Nanjing, P. R. China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5017276929"],"corresponding_institution_ids":["https://openalex.org/I3923682"],"apc_list":null,"apc_paid":null,"fwci":1.8645,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.8651284,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"14"},"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/T11182","display_name":"Auction Theory and Applications","score":0.9997000098228455,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.6200441122055054},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5822073221206665},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.521234393119812},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.4770740270614624},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.4326101541519165},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.39715704321861267},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.359041690826416},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.34303152561187744},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28125423192977905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2490442991256714},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16333425045013428},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.13192442059516907}],"concepts":[{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.6200441122055054},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5822073221206665},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.521234393119812},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.4770740270614624},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.4326101541519165},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.39715704321861267},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.359041690826416},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34303152561187744},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28125423192977905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2490442991256714},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16333425045013428},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.13192442059516907},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmc.2022.3197459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2022.3197459","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Mobile Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1749643548","display_name":null,"funder_award_id":"61873177","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3065674561","display_name":null,"funder_award_id":"U20A20182","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3254999659","display_name":null,"funder_award_id":"62172386","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3301288343","display_name":null,"funder_award_id":"61936015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6402226090","display_name":null,"funder_award_id":"U1709217","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6455068604","display_name":null,"funder_award_id":"62072322","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G667604563","display_name":null,"funder_award_id":"62102275","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7096482675","display_name":null,"funder_award_id":"61872330","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W35251828","https://openalex.org/W1577072196","https://openalex.org/W1581014602","https://openalex.org/W1970756365","https://openalex.org/W1976535029","https://openalex.org/W2004877282","https://openalex.org/W2021696821","https://openalex.org/W2029050771","https://openalex.org/W2047062435","https://openalex.org/W2056788611","https://openalex.org/W2063844956","https://openalex.org/W2083888899","https://openalex.org/W2091175924","https://openalex.org/W2093562354","https://openalex.org/W2116821104","https://openalex.org/W2117521099","https://openalex.org/W2119911469","https://openalex.org/W2128217090","https://openalex.org/W2168405694","https://openalex.org/W2187464020","https://openalex.org/W2251049298","https://openalex.org/W2281104701","https://openalex.org/W2326421035","https://openalex.org/W2400128071","https://openalex.org/W2499215323","https://openalex.org/W2538733971","https://openalex.org/W2573607665","https://openalex.org/W2769948160","https://openalex.org/W2791444538","https://openalex.org/W2802269386","https://openalex.org/W2919420350","https://openalex.org/W2950929549","https://openalex.org/W2963945346","https://openalex.org/W2965417434","https://openalex.org/W3012316639","https://openalex.org/W3012358405","https://openalex.org/W3021908353","https://openalex.org/W3038426846","https://openalex.org/W3047004582","https://openalex.org/W3047374784","https://openalex.org/W3088316394","https://openalex.org/W3102449016","https://openalex.org/W3155909716","https://openalex.org/W3173148579","https://openalex.org/W3175851743","https://openalex.org/W3185074539","https://openalex.org/W3193837330","https://openalex.org/W4213432242","https://openalex.org/W4225515483","https://openalex.org/W4295847265","https://openalex.org/W6601392155","https://openalex.org/W6677593936","https://openalex.org/W6732044312","https://openalex.org/W6740688103","https://openalex.org/W6810138912"],"related_works":["https://openalex.org/W2971351794","https://openalex.org/W4376155396","https://openalex.org/W1947085858","https://openalex.org/W2174986909","https://openalex.org/W2527791220","https://openalex.org/W2101991911","https://openalex.org/W2155070487","https://openalex.org/W4311589891","https://openalex.org/W3123835761","https://openalex.org/W118270247"],"abstract_inverted_index":{"The":[0,21],"multi-armed":[1],"bandit":[2],"(MAB)":[3],"models":[4,117],"have":[5],"always":[6],"received":[7],"lots":[8],"of":[9,122,266],"attention":[10],"from":[11],"multiple":[12],"research":[13],"communities":[14],"due":[15],"to":[16,80,136,176,253,261],"their":[17],"broad":[18],"application":[19],"domains.":[20],"optimal":[22],"selection":[23,149,196],"problem":[24,190],"with":[25,173],"unknown":[26,64],"rewards":[27,62,84],"in":[28,34,39,65,73,107,143,150,214,235,244],"advance,":[29,66],"such":[30,146],"as":[31,147],"ad":[32],"recommendation":[33],"social":[35],"networks,":[36],"spectrum":[37],"access":[38],"the":[40,67,82,114,119,123,152,156,160,168,187,212,239,263,267],"cognitive":[41],"radio":[42],"field,":[43],"etc.,":[44],"can":[45,103],"be":[46,104,233],"efficiently":[47],"solved":[48],"by":[49],"using":[50],"MAB":[51,55,96],"models.":[52],"In":[53,141,222],"an":[54,205,226],"model,":[56],"given":[57],"<inline-formula><tex-math":[58,100,124],"notation=\"LaTeX\">$N$</tex-math></inline-formula>":[59,125],"arms":[60,102,153,231,240],"whose":[61],"are":[63,154,259],"player":[68],"selects":[69],"exactly":[70],"one":[71,130,215],"arm":[72,131,195],"each":[74,108],"round,":[75,109,216],"and":[76,197,210,219,238],"his":[77],"goal":[78],"is":[79,110],"maximize":[81],"cumulative":[83],"over":[85],"a":[86,90,178],"fixed":[87],"horizon.":[88],"Further,":[89],"more":[91],"general":[92],"model":[93],"called":[94,181,251],"combinatorial":[95],"(i.e.,":[97],"CMAB),":[98],"where":[99],"notation=\"LaTeX\">$K$</tex-math></inline-formula>":[101],"played":[105],"simultaneously":[106],"put":[111],"forward.":[112],"However,":[113],"existing":[115],"CMAB":[116,189],"neglect":[118],"strategic":[120],"behaviors":[121],"arms,":[126],"which":[127],"indicates":[128],"that":[129,229],"might":[132],"report":[133],"false":[134],"information":[135],"increase":[137],"its":[138],"own":[139],"profits.":[140],"fact,":[142],"many":[144],"applications":[145],"user":[148],"crowdsensing,":[151],"not":[155],"feelingless":[157],"machines":[158],"but":[159],"rational":[161],"individuals.":[162],"To":[163],"this":[164,255],"end,":[165],"we":[166,203,224],"combine":[167],"upper":[169,206],"confidence":[170],"bound":[171,207],"(UCB)":[172],"auction":[174],"theory":[175],"develop":[177],"new":[179],"algorithm":[180,250],"auction-based":[182,188],"UCB":[183],"(AUCB).":[184],"We":[185,247],"divide":[186],"into":[191],"two":[192],"sub-problems:":[193],"winning":[194],"payment":[198],"computation":[199],"problems.":[200],"For":[201],"AUCB,":[202],"derive":[204],"on":[208],"regret":[209],"prove":[211],"truthfulness":[213],"individual":[217],"rationality,":[218],"computational":[220],"efficiency.":[221],"addition,":[223],"consider":[225],"extended":[227],"situation":[228],"some":[230,236],"may":[232],"unavailable":[234],"rounds":[237],"will":[241],"bid":[242],"inconsistently":[243],"different":[245],"rounds.":[246],"devise":[248],"another":[249],"eAUCB":[252],"solve":[254],"problem.":[256],"Extensive":[257],"simulations":[258],"conducted":[260],"show":[262],"significant":[264],"performance":[265],"proposed":[268],"algorithms.":[269]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
