{"id":"https://openalex.org/W4405464695","doi":"https://doi.org/10.1145/3670865.3673574","title":"Optimal Mechanisms for a Value Maximizer: The Futility of Screening Targets","display_name":"Optimal Mechanisms for a Value Maximizer: The Futility of Screening Targets","publication_year":2024,"publication_date":"2024-07-08","ids":{"openalex":"https://openalex.org/W4405464695","doi":"https://doi.org/10.1145/3670865.3673574"},"language":"en","primary_location":{"id":"doi:10.1145/3670865.3673574","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3670865.3673574","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM Conference on Economics and Computation","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/A5038549642","display_name":"Santiago Balseiro","orcid":"https://orcid.org/0000-0002-0012-3292"},"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"]},{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Santiago Balseiro","raw_affiliation_strings":["Columbia University and Google Research, New York, United States of America"],"raw_orcid":"https://orcid.org/0000-0002-0012-3292","affiliations":[{"raw_affiliation_string":"Columbia University and Google Research, New York, United States of America","institution_ids":["https://openalex.org/I1291425158","https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013313391","display_name":"Yuan Deng","orcid":"https://orcid.org/0000-0002-6654-4049"},"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":"Yuan Deng","raw_affiliation_strings":["Google Research, New York, USA"],"raw_orcid":"https://orcid.org/0000-0002-6654-4049","affiliations":[{"raw_affiliation_string":"Google Research, New York, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091374832","display_name":"Jieming Mao","orcid":"https://orcid.org/0000-0001-8416-0172"},"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":"Jieming Mao","raw_affiliation_strings":["Google Research, New York, USA"],"raw_orcid":"https://orcid.org/0000-0001-8416-0172","affiliations":[{"raw_affiliation_string":"Google Research, New York, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","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":false,"raw_author_name":"Vahab Mirrokni","raw_affiliation_strings":["Google Research, New York, United States of America"],"raw_orcid":"https://orcid.org/0000-0001-6705-5629","affiliations":[{"raw_affiliation_string":"Google Research, New York, United States of America","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/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":"Song Zuo","raw_affiliation_strings":["Google Research, New York, USA"],"raw_orcid":"https://orcid.org/0000-0001-9488-0165","affiliations":[{"raw_affiliation_string":"Google Research, New York, USA","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5038549642"],"corresponding_institution_ids":["https://openalex.org/I1291425158","https://openalex.org/I78577930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.39795535,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1101","last_page":"1101"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12675","display_name":"Financial Reporting and Valuation Research","score":0.22419999539852142,"subfield":{"id":"https://openalex.org/subfields/1408","display_name":"Strategy and Management"},"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/T12675","display_name":"Financial Reporting and Valuation Research","score":0.22419999539852142,"subfield":{"id":"https://openalex.org/subfields/1408","display_name":"Strategy and Management"},"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/T11043","display_name":"Merger and Competition Analysis","score":0.22370000183582306,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.22110000252723694,"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/value","display_name":"Value (mathematics)","score":0.5901620388031006},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4610764980316162},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14279478788375854}],"concepts":[{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.5901620388031006},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4610764980316162},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14279478788375854}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3670865.3673574","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3670865.3673574","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM Conference on Economics and Computation","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":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Motivated":[0],"by":[1],"the":[2,14,38,80,97,113],"increased":[3],"adoption":[4],"of":[5,16,58,64,72,144],"autobidding":[6],"algorithms":[7],"in":[8,37],"internet":[9],"advertising":[10,167],"markets,":[11],"we":[12,77],"study":[13],"design":[15,137],"optimal":[17,74,81,95,100],"mechanisms":[18,50],"for":[19,96,125,158,166],"selling":[20],"an":[21,73],"item":[22,127],"to":[23,46,68,112,115,148,153,170],"a":[24,28,56,70,90,103,109,121,133,140,150],"value-maximizing":[25],"buyer":[26,114],"with":[27],"return-on-spend":[29,39],"constraint.":[30],"The":[31,61,99,129],"buyer's":[32],"values":[33],"and":[34,118,139],"target":[35,86],"ratio":[36],"constraint":[40],"are":[41],"private.":[42],"We":[43],"restrict":[44],"attention":[45],"deterministic":[47],"sequential":[48],"screening":[49],"that":[51,79,107],"can":[52],"be":[53],"implemented":[54],"as":[55],"menu":[57],"two-part":[59,92,105],"tariffs.":[60],"main":[62],"result":[63],"this":[65],"paper":[66],"is":[67,94,102,132,147],"provide":[69,149],"characterization":[71],"mechanism.":[75],"Surprisingly,":[76],"show":[78],"mechanism":[82,101,136],"does":[83],"not":[84],"require":[85],"screening,":[87],"i.e.,":[88],"offering":[89],"single":[91],"tariff":[93,106],"seller.":[98],"subsidized":[104],"provides":[108],"lump-sum":[110],"subsidy":[111],"encourage":[116],"participation":[117],"then":[119],"charges":[120],"fixed":[122],"unit":[123],"price":[124],"each":[126],"sold.":[128],"seller's":[130],"problem":[131],"challenging":[134],"non-linear":[135,155],"problem,":[138],"key":[141],"technical":[142],"contribution":[143],"our":[145],"work":[146],"novel":[151],"approach":[152],"analyzing":[154],"pricing":[156,172],"contracts":[157],"constrained":[159],"buyers.":[160],"Our":[161],"results":[162],"have":[163],"valuable":[164],"implications":[165],"platforms":[168],"seeking":[169],"personalize":[171],"decisions":[173],"based":[174],"on":[175],"advertisers'":[176],"characteristics.":[177]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
