{"id":"https://openalex.org/W4226084031","doi":"https://doi.org/10.1145/3534678.3539202","title":"A Framework for Multi-stage Bonus Allocation in Meal Delivery Platform","display_name":"A Framework for Multi-stage Bonus Allocation in Meal Delivery Platform","publication_year":2022,"publication_date":"2022-08-12","ids":{"openalex":"https://openalex.org/W4226084031","doi":"https://doi.org/10.1145/3534678.3539202"},"language":"en","primary_location":{"id":"doi:10.1145/3534678.3539202","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3534678.3539202","pdf_url":null,"source":{"id":"https://openalex.org/S4363608767","display_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","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/A5101833267","display_name":"Zhuolin Wu","orcid":"https://orcid.org/0000-0002-8938-894X"},"institutions":[{"id":"https://openalex.org/I4210087373","display_name":"Meizu (China)","ror":"https://ror.org/0067g4302","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210087373"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuolin Wu","raw_affiliation_strings":["Meituan, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meituan, Beijing, China","institution_ids":["https://openalex.org/I4210087373"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118941484","display_name":"Li Wang","orcid":"https://orcid.org/0000-0003-3722-5986"},"institutions":[{"id":"https://openalex.org/I4210087373","display_name":"Meizu (China)","ror":"https://ror.org/0067g4302","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210087373"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Wang","raw_affiliation_strings":["Meituan, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meituan, Beijing, China","institution_ids":["https://openalex.org/I4210087373"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061824230","display_name":"Fangsheng Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210087373","display_name":"Meizu (China)","ror":"https://ror.org/0067g4302","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210087373"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangsheng Huang","raw_affiliation_strings":["Meituan, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meituan, Beijing, China","institution_ids":["https://openalex.org/I4210087373"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110930839","display_name":"Linjun Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210087373","display_name":"Meizu (China)","ror":"https://ror.org/0067g4302","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210087373"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linjun Zhou","raw_affiliation_strings":["Meituan, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meituan, Beijing, China","institution_ids":["https://openalex.org/I4210087373"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100328452","display_name":"Yu Song","orcid":"https://orcid.org/0000-0002-9525-2870"},"institutions":[{"id":"https://openalex.org/I4210087373","display_name":"Meizu (China)","ror":"https://ror.org/0067g4302","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210087373"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Song","raw_affiliation_strings":["Meituan, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meituan, Beijing, China","institution_ids":["https://openalex.org/I4210087373"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007730806","display_name":"Chengpeng Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I4210087373","display_name":"Meizu (China)","ror":"https://ror.org/0067g4302","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210087373"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengpeng Ye","raw_affiliation_strings":["Meituan, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meituan, Beijing, China","institution_ids":["https://openalex.org/I4210087373"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043609524","display_name":"Pengyu Nie","orcid":"https://orcid.org/0000-0003-1529-3216"},"institutions":[{"id":"https://openalex.org/I4210087373","display_name":"Meizu (China)","ror":"https://ror.org/0067g4302","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210087373"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengyu Nie","raw_affiliation_strings":["Meituan, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meituan, Beijing, China","institution_ids":["https://openalex.org/I4210087373"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041301033","display_name":"Hao Ren","orcid":"https://orcid.org/0000-0001-9206-7760"},"institutions":[{"id":"https://openalex.org/I4210087373","display_name":"Meizu (China)","ror":"https://ror.org/0067g4302","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210087373"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Ren","raw_affiliation_strings":["Meituan, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meituan, Beijing, China","institution_ids":["https://openalex.org/I4210087373"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102094948","display_name":"Jinghua Hao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210087373","display_name":"Meizu (China)","ror":"https://ror.org/0067g4302","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210087373"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinghua Hao","raw_affiliation_strings":["Meituan, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meituan, Beijing, China","institution_ids":["https://openalex.org/I4210087373"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028060197","display_name":"Renqing He","orcid":"https://orcid.org/0000-0001-7788-7584"},"institutions":[{"id":"https://openalex.org/I4210087373","display_name":"Meizu (China)","ror":"https://ror.org/0067g4302","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210087373"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Renqing He","raw_affiliation_strings":["Meituan, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meituan, Beijing, China","institution_ids":["https://openalex.org/I4210087373"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024427917","display_name":"Zhizhao Sun","orcid":"https://orcid.org/0000-0002-5783-5944"},"institutions":[{"id":"https://openalex.org/I4210087373","display_name":"Meizu (China)","ror":"https://ror.org/0067g4302","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210087373"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhizhao Sun","raw_affiliation_strings":["Meituan, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meituan, Beijing, China","institution_ids":["https://openalex.org/I4210087373"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":11,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4901,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.83764554,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"4195","last_page":"4203"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10328","display_name":"Supply Chain and Inventory Management","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9969000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6636101603507996},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.5502894520759583},{"id":"https://openalex.org/keywords/online-algorithm","display_name":"Online algorithm","score":0.48225003480911255},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4810760021209717},{"id":"https://openalex.org/keywords/dynamic-programming","display_name":"Dynamic programming","score":0.46408745646476746},{"id":"https://openalex.org/keywords/reputation","display_name":"Reputation","score":0.4534303545951843},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.41124826669692993},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3775283694267273},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3433383107185364},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1682584583759308},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.160262793302536},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.12917691469192505},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12089619040489197}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6636101603507996},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.5502894520759583},{"id":"https://openalex.org/C196921405","wikidata":"https://www.wikidata.org/wiki/Q786431","display_name":"Online algorithm","level":2,"score":0.48225003480911255},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4810760021209717},{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.46408745646476746},{"id":"https://openalex.org/C48798503","wikidata":"https://www.wikidata.org/wiki/Q877546","display_name":"Reputation","level":2,"score":0.4534303545951843},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.41124826669692993},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3775283694267273},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3433383107185364},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1682584583759308},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.160262793302536},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.12917691469192505},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12089619040489197},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3534678.3539202","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3534678.3539202","pdf_url":null,"source":{"id":"https://openalex.org/S4363608767","display_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1974665512","https://openalex.org/W2028298424","https://openalex.org/W2120586050","https://openalex.org/W2129589037","https://openalex.org/W2574840814","https://openalex.org/W2798728990","https://openalex.org/W2963052087","https://openalex.org/W2965368348","https://openalex.org/W3035829704","https://openalex.org/W3080956811","https://openalex.org/W3081126571","https://openalex.org/W3122584556","https://openalex.org/W3125064629","https://openalex.org/W4236663485"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W1503094549","https://openalex.org/W4384486036","https://openalex.org/W135177976","https://openalex.org/W2337920774","https://openalex.org/W4318823662","https://openalex.org/W2886410948","https://openalex.org/W2025875869","https://openalex.org/W3207526114","https://openalex.org/W4286908577"],"abstract_inverted_index":{"Online":[0],"meal":[1,15,43,75,127,259],"delivery":[2,16,44,76,128,230,260],"is":[3,10,61,88,135,173],"undergoing":[4],"explosive":[5],"growth,":[6],"as":[7],"this":[8,80,111,133],"service":[9],"becoming":[11],"increasingly":[12],"popular.":[13],"A":[14],"platform":[17,45,261],"aims":[18,195],"to":[19,64,94,99,117,136,175,183,196,226],"provide":[20],"excellent":[21],"and":[22,27,69,163,185,213,239,252],"stable":[23],"services":[24],"for":[25,125,202,232],"customers":[26],"restaurants.":[28],"However,":[29],"in":[30,40,110,222,283],"reality,":[31],"several":[32],"hundred":[33],"thousand":[34],"orders":[35,60,142],"are":[36,48,262],"canceled":[37],"per":[38],"day":[39],"the":[41,52,59,65,70,73,96,108,120,138,177,180,189,198,209,214,219,223,237,257,269,272],"Meituan":[42,74,258],"since":[46],"they":[47],"not":[49],"accepted":[50,141],"by":[51,90,279],"crowd":[53],"soucing":[54],"drivers.":[55],"The":[56,130,168],"cancellation":[57],"of":[58,72,85,107,132,140,151,241],"incredibly":[62],"detrimental":[63],"customer's":[66],"repurchase":[67],"rate":[68],"reputation":[71],"platform.":[77,129],"To":[78,103,235],"solve":[79],"problem,":[81],"a":[82,115,126,144,152,157,228,248],"certain":[83],"amount":[84],"specific":[86],"funds":[87],"provided":[89],"Meituan's":[91],"business":[92],"managers":[93],"encourage":[95],"crowdsourcing":[97],"drivers":[98],"accept":[100],"more":[101,280],"orders.":[102],"make":[104],"better":[105],"use":[106],"funds,":[109],"work,":[112],"we":[113],"propose":[114],"framework":[116,134,149],"deal":[118],"with":[119],"multi-stage":[121],"bonus":[122,146,181,231],"allocation":[123,166,204,216],"problem":[124],"objective":[131],"maximize":[137],"number":[139],"within":[143],"limited":[145],"budget.":[147],"This":[148],"consists":[150],"semi-black-box":[153,169],"acceptance":[154,170,187],"probability":[155,171],"model,":[156],"Lagrangian":[158,190,200],"dual-based":[159,191],"dynamic":[160,192],"programming":[161,193],"algorithm,":[162],"an":[164],"online":[165,215,253],"algorithm.":[167],"model":[172],"employed":[174],"forecast":[176],"relationship":[178],"between":[179],"allocated":[182],"order":[184,274],"its":[186],"probability,":[188],"algorithm":[194,217],"calculate":[197,227],"empirical":[199],"multiplier":[201],"each":[203,233],"stage":[205],"offline":[206,224,245],"based":[207],"on":[208,247,256],"historical":[210],"data":[211,250],"set,":[212],"uses":[218],"results":[220,265],"attained":[221],"part":[225],"proper":[229],"order.":[234],"verify":[236],"effectiveness":[238],"efficiency":[240],"our":[242],"framework,":[243,271],"both":[244],"experiments":[246],"real-world":[249],"set":[251],"A/B":[254],"tests":[255],"conducted.":[263],"Our":[264],"show":[266],"that":[267],"using":[268],"proposed":[270],"total":[273],"cancellations":[275],"can":[276],"be":[277],"decreased":[278],"than":[281],"25%":[282],"reality.":[284]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
