{"id":"https://openalex.org/W7131898335","doi":"https://doi.org/10.48550/arxiv.2602.22650","title":"AHBid: An Adaptable Hierarchical Bidding Framework for Cross-Channel Advertising","display_name":"AHBid: An Adaptable Hierarchical Bidding Framework for Cross-Channel Advertising","publication_year":2026,"publication_date":"2026-02-26","ids":{"openalex":"https://openalex.org/W7131898335","doi":"https://doi.org/10.48550/arxiv.2602.22650"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2602.22650","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.22650","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2602.22650","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060903684","display_name":"Xinxin Yang","orcid":"https://orcid.org/0000-0001-5653-7104"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yang, Xinxin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127293050","display_name":"Yangyang Tang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tang, Yangyang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127069756","display_name":"Yikun Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Yikun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029099020","display_name":"Yaolei Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yaolei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127143896","display_name":"Yun Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Yun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5127195792","display_name":"Bo Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Bo","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5060903684"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.5716000199317932,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.5716000199317932,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.10589999705553055,"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":0.07670000195503235,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bidding","display_name":"Bidding","score":0.7210999727249146},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6456000208854675},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.5928000211715698},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.557200014591217},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.5354999899864197},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.510699987411499},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.38019999861717224},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.37720000743865967},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.3531000018119812}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7214000225067139},{"id":"https://openalex.org/C9233905","wikidata":"https://www.wikidata.org/wiki/Q3276328","display_name":"Bidding","level":2,"score":0.7210999727249146},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6456000208854675},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.5928000211715698},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.557200014591217},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.5354999899864197},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.510699987411499},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.38019999861717224},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.37720000743865967},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36649999022483826},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.3531000018119812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34869998693466187},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.3111000061035156},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.30970001220703125},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.2957000136375427},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.2870999872684479},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.2831999957561493},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.2808000147342682},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.2721000015735626},{"id":"https://openalex.org/C2779391423","wikidata":"https://www.wikidata.org/wiki/Q17009728","display_name":"Dynamic pricing","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C163239763","wikidata":"https://www.wikidata.org/wiki/Q5153637","display_name":"Common value auction","level":2,"score":0.26249998807907104},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.25929999351501465},{"id":"https://openalex.org/C2781018962","wikidata":"https://www.wikidata.org/wiki/Q5164884","display_name":"Container (type theory)","level":2,"score":0.25699999928474426},{"id":"https://openalex.org/C2780695315","wikidata":"https://www.wikidata.org/wiki/Q3799040","display_name":"Unobservable","level":2,"score":0.25589999556541443},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.2556999921798706},{"id":"https://openalex.org/C2776999362","wikidata":"https://www.wikidata.org/wiki/Q2349274","display_name":"Planner","level":2,"score":0.251800000667572}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2602.22650","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.22650","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2602.22650","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.22650","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"online":[1,203],"advertising,":[2],"the":[3,13,90,166,207],"inherent":[4],"complexity":[5,25],"and":[6,37,86,131,138,191,201],"dynamic":[7,72],"nature":[8],"of":[9,15,35,92,168,209],"advertising":[10],"environments":[11],"necessitate":[12],"use":[14],"auto-bidding":[16],"services":[17],"to":[18,71,81,127,147,162,219],"assist":[19],"advertisers":[20],"in":[21,29,69,215],"bid":[22],"optimization.":[23],"This":[24],"is":[26],"further":[27,173],"compounded":[28],"multi-channel":[30],"scenarios,":[31],"where":[32],"effective":[33],"allocation":[34],"budgets":[36,130],"constraints":[38,91,132],"across":[39],"channels":[40],"with":[41,113,150,154,184],"distinct":[42],"behavioral":[43],"patterns":[44,88],"becomes":[45],"critical":[46],"for":[47],"optimizing":[48],"return":[49,217],"on":[50,56,124,197],"investment.":[51],"Current":[52],"approaches":[53,78],"predominantly":[54],"rely":[55],"either":[57],"optimization-based":[58,65],"strategies":[59],"or":[60],"reinforcement":[61,76],"learning":[62,77],"techniques.":[63],"However,":[64],"methods":[66],"lack":[67],"flexibility":[68],"adapting":[70],"market":[73],"conditions,":[74],"while":[75],"often":[79],"struggle":[80],"capture":[82],"essential":[83],"historical":[84,136,169,182],"dependencies":[85],"observational":[87],"within":[89],"Markov":[93],"Decision":[94],"Process":[95],"frameworks.":[96],"To":[97],"address":[98],"these":[99],"limitations,":[100],"we":[101],"propose":[102],"AHBid,":[103,210],"an":[104],"Adaptable":[105],"Hierarchical":[106],"Bidding":[107],"framework":[108,117],"that":[109,159,179],"integrates":[110],"generative":[111,121],"planning":[112],"real-time":[114,185],"control.":[115],"The":[116,171],"employs":[118],"a":[119,143,155,175,212],"high-level":[120],"planner":[122],"based":[123],"diffusion":[125],"models":[126],"dynamically":[128],"allocate":[129],"by":[133],"effectively":[134],"capturing":[135],"context":[137],"temporal":[139],"patterns.":[140],"We":[141],"introduce":[142],"constraint":[144],"enforcement":[145],"mechanism":[146,158],"ensure":[148],"compliance":[149],"specified":[151],"constraints,":[152],"along":[153],"trajectory":[156],"refinement":[157],"enhances":[160],"adaptability":[161,190],"environmental":[163],"changes":[164],"through":[165,202],"utilization":[167],"data.":[170],"system":[172],"incorporates":[174],"control-based":[176],"bidding":[177],"algorithm":[178],"synergistically":[180],"combines":[181],"knowledge":[183],"information,":[186],"significantly":[187],"improving":[188],"both":[189],"operational":[192],"efficacy.":[193],"Extensive":[194],"experiments":[195],"conducted":[196],"large-scale":[198],"offline":[199],"datasets":[200],"A/B":[204],"tests":[205],"demonstrate":[206],"effectiveness":[208],"yielding":[211],"13.57%":[213],"increase":[214],"overall":[216],"compared":[218],"existing":[220],"baselines.":[221]},"counts_by_year":[],"updated_date":"2026-02-28T06:18:59.386488","created_date":"2026-02-28T00:00:00"}
