{"id":"https://openalex.org/W2788734366","doi":"https://doi.org/10.1145/3178876.3186041","title":"Dynamic Mechanism Design in the Field","display_name":"Dynamic Mechanism Design in the Field","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2788734366","doi":"https://doi.org/10.1145/3178876.3186041","mag":"2788734366"},"language":"en","primary_location":{"id":"doi:10.1145/3178876.3186041","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3178876.3186041","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3186041&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=3186041&type=pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075598023","display_name":"Vahab Mirrokni","orcid":"https://orcid.org/0000-0001-6705-5629"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Vahab Mirrokni","raw_affiliation_strings":["Google, New York City, NY, USA"],"affiliations":[{"raw_affiliation_string":"Google, New York City, NY, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019999334","display_name":"Renato Paes Leme","orcid":"https://orcid.org/0000-0002-9799-5766"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Renato Paes Leme","raw_affiliation_strings":["Google, New York City, NY, USA"],"affiliations":[{"raw_affiliation_string":"Google, New York City, NY, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060194968","display_name":"Rita Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rita Ren","raw_affiliation_strings":["Google, New York City, NY, USA"],"affiliations":[{"raw_affiliation_string":"Google, New York City, NY, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016149057","display_name":"Song Zuo","orcid":"https://orcid.org/0000-0001-9488-0165"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Zuo","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5075598023"],"corresponding_institution_ids":["https://openalex.org/I1291425158"],"apc_list":null,"apc_paid":null,"fwci":1.1032,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.79881118,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1359","last_page":"1368"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","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/T11182","display_name":"Auction Theory and Applications","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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9990000128746033,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9939000010490417,"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":0.7818815112113953},{"id":"https://openalex.org/keywords/dynamic-pricing","display_name":"Dynamic pricing","score":0.737095832824707},{"id":"https://openalex.org/keywords/common-value-auction","display_name":"Common value auction","score":0.715956449508667},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7100136876106262},{"id":"https://openalex.org/keywords/mechanism-design","display_name":"Mechanism design","score":0.6474798321723938},{"id":"https://openalex.org/keywords/revenue","display_name":"Revenue","score":0.6018623113632202},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.4984149932861328},{"id":"https://openalex.org/keywords/lift","display_name":"Lift (data mining)","score":0.48926469683647156},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4670625627040863},{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.4457889497280121},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.44021520018577576},{"id":"https://openalex.org/keywords/incentive-compatibility","display_name":"Incentive compatibility","score":0.41981983184814453},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4189295172691345},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.3290177285671234},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.189985454082489},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.15528863668441772},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.128119558095932},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11911031603813171}],"concepts":[{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.7818815112113953},{"id":"https://openalex.org/C2779391423","wikidata":"https://www.wikidata.org/wiki/Q17009728","display_name":"Dynamic pricing","level":2,"score":0.737095832824707},{"id":"https://openalex.org/C163239763","wikidata":"https://www.wikidata.org/wiki/Q5153637","display_name":"Common value auction","level":2,"score":0.715956449508667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7100136876106262},{"id":"https://openalex.org/C153517567","wikidata":"https://www.wikidata.org/wiki/Q26090","display_name":"Mechanism design","level":2,"score":0.6474798321723938},{"id":"https://openalex.org/C195487862","wikidata":"https://www.wikidata.org/wiki/Q850210","display_name":"Revenue","level":2,"score":0.6018623113632202},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4984149932861328},{"id":"https://openalex.org/C139002025","wikidata":"https://www.wikidata.org/wiki/Q3001212","display_name":"Lift (data mining)","level":2,"score":0.48926469683647156},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4670625627040863},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.4457889497280121},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.44021520018577576},{"id":"https://openalex.org/C91810955","wikidata":"https://www.wikidata.org/wiki/Q7731670","display_name":"Incentive compatibility","level":3,"score":0.41981983184814453},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4189295172691345},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.3290177285671234},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.189985454082489},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.15528863668441772},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.128119558095932},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11911031603813171},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3178876.3186041","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3178876.3186041","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3186041&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3178876.3186041","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3178876.3186041","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3186041&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.5099999904632568}],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2315821992","display_name":null,"funder_award_id":"61303077","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6424090627","display_name":null,"funder_award_id":"61561146398","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G680756813","display_name":null,"funder_award_id":"61033001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7219872841","display_name":null,"funder_award_id":"61361136003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G832729633","display_name":null,"funder_award_id":"61136003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8596328259","display_name":null,"funder_award_id":"6136113600","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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2788734366.pdf","grobid_xml":"https://content.openalex.org/works/W2788734366.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W611768045","https://openalex.org/W1501382518","https://openalex.org/W2045927286","https://openalex.org/W2054470528","https://openalex.org/W2096925478","https://openalex.org/W2109345727","https://openalex.org/W2109516767","https://openalex.org/W2118442327","https://openalex.org/W2130359158","https://openalex.org/W2150414301","https://openalex.org/W2166421991","https://openalex.org/W2189241046","https://openalex.org/W2258055855","https://openalex.org/W2311550555","https://openalex.org/W2342119413","https://openalex.org/W2415052264","https://openalex.org/W2519284426","https://openalex.org/W2573726028","https://openalex.org/W2616017199","https://openalex.org/W3122827434","https://openalex.org/W3123904525","https://openalex.org/W4206827479"],"related_works":["https://openalex.org/W2610226722","https://openalex.org/W4321472159","https://openalex.org/W1502128320","https://openalex.org/W2950333913","https://openalex.org/W4301722110","https://openalex.org/W2524244071","https://openalex.org/W3103204983","https://openalex.org/W2054039722","https://openalex.org/W4390048635","https://openalex.org/W3133924690"],"abstract_inverted_index":{"Dynamic":[0],"mechanisms":[1,17,57,73,153],"are":[2],"a":[3,96,120,156],"powerful":[4],"technique":[5],"in":[6,23,101],"designing":[7],"revenue-maximizing":[8],"repeated":[9],"auctions.":[10],"Despite":[11],"their":[12,30,34],"strength,":[13],"these":[14,51],"types":[15],"of":[16,39,71,77,98,136],"have":[18],"not":[19],"been":[20],"widely":[21],"adopted":[22],"practice":[24],"for":[25,29,33,67],"several":[26],"reasons,":[27],"e.g.,":[28],"complexity,":[31],"and":[32,53,63,94,104,115],"sensitivity":[35,70],"to":[36,49,119],"the":[37,69,84],"accuracy":[38,76],"predicting":[40],"buyers\u00bb":[41,78,99],"value":[42,79],"distributions.":[43,80],"In":[44],"this":[45],"paper,":[46],"we":[47,87,126,149],"aim":[48],"address":[50],"shortcomings":[52],"develop":[54],"simple":[55],"dynamic":[56,72,85,91,102,138,152],"that":[58,83,106],"can":[59,154],"be":[60],"implemented":[61],"efficiently,":[62],"provide":[64,155],"theoretical":[65,129],"guidelines":[66],"decreasing":[68],"on":[74,140],"prediction":[75],"We":[81],"prove":[82],"mechanism":[86,108],"propose":[88],"is":[89],"provably":[90],"incentive":[92],"compatible,":[93],"introduce":[95],"notion":[97],"regret":[100,111,162],"mechanisms,":[103],"show":[105,150],"our":[107,128,137,151],"achieves":[109],"bounded":[110],"while":[112],"improving":[113],"revenue":[114,158],"social":[116],"welfare":[117],"compared":[118],"static":[121],"reserve":[122],"pricing":[123],"policy.":[124],"Finally,":[125],"confirm":[127],"analysis":[130],"via":[131],"an":[132],"extensive":[133],"empirical":[134],"study":[135],"auction":[139],"real":[141],"data":[142],"sets":[143],"from":[144],"online":[145],"adverting.":[146],"For":[147],"example,":[148],"+17%":[157],"lift":[159],"with":[160],"relative":[161],"less":[163],"than":[164],"0.2%.":[165]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-19T08:26:33.389920","created_date":"2025-10-10T00:00:00"}