{"id":"https://openalex.org/W2024679443","doi":"https://doi.org/10.1145/2229012.2229051","title":"Signaling schemes for revenue maximization","display_name":"Signaling schemes for revenue maximization","publication_year":2012,"publication_date":"2012-06-04","ids":{"openalex":"https://openalex.org/W2024679443","doi":"https://doi.org/10.1145/2229012.2229051","mag":"2024679443"},"language":"en","primary_location":{"id":"doi:10.1145/2229012.2229051","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2229012.2229051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th ACM Conference on Electronic Commerce","raw_type":"proceedings-article"},"type":"conference-paper","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/A5000264005","display_name":"Yuval Emek","orcid":"https://orcid.org/0000-0002-3123-3451"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Yuval Emek","raw_affiliation_strings":["ETH Zurich, Zurich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103282352","display_name":"Michal Feldman","orcid":"https://orcid.org/0000-0002-2915-8405"},"institutions":[{"id":"https://openalex.org/I121297525","display_name":"Hebrew College","ror":"https://ror.org/05y3p3k12","country_code":"US","type":"education","lineage":["https://openalex.org/I121297525"]},{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michal Feldman","raw_affiliation_strings":["Hebrew University and Harvard University, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hebrew University and Harvard University, Cambridge, MA, USA","institution_ids":["https://openalex.org/I121297525","https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020208985","display_name":"Iftah Gamzu","orcid":null},"institutions":[{"id":"https://openalex.org/I2800095910","display_name":"Yahoo (Spain)","ror":"https://ror.org/03gq8sg42","country_code":"ES","type":"company","lineage":["https://openalex.org/I2800095910","https://openalex.org/I4210134091"]},{"id":"https://openalex.org/I4210125051","display_name":"Microsoft (Israel)","ror":"https://ror.org/03819cc96","country_code":"IL","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210125051"]}],"countries":["ES","IL"],"is_corresponding":false,"raw_author_name":"Iftah Gamzu","raw_affiliation_strings":["Microsoft Research, Haifa, Israel","Yahoo! research,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Haifa, Israel","institution_ids":["https://openalex.org/I4210125051"]},{"raw_affiliation_string":"Yahoo! research,","institution_ids":["https://openalex.org/I2800095910"]}]},{"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/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Renato Paes Leme","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA","Microsoft research#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"Microsoft research#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003520806","display_name":"Moshe Tennenholtz","orcid":"https://orcid.org/0000-0002-9459-5388"},"institutions":[{"id":"https://openalex.org/I4210125051","display_name":"Microsoft (Israel)","ror":"https://ror.org/03819cc96","country_code":"IL","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210125051"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Moshe Tennenholtz","raw_affiliation_strings":["Microsoft Research and Technion, Haifa, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research and Technion, Haifa, Israel","institution_ids":["https://openalex.org/I4210125051"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":82,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"514","last_page":"531"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":1.0,"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":1.0,"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":0.9994999766349792,"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/T11031","display_name":"Game Theory and Applications","score":0.989799976348877,"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/computer-science","display_name":"Computer science","score":0.6684646606445312},{"id":"https://openalex.org/keywords/transparency","display_name":"Transparency (behavior)","score":0.6339800357818604},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6156848669052124},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5950629115104675},{"id":"https://openalex.org/keywords/revenue","display_name":"Revenue","score":0.564814031124115},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.4457705616950989},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.43018102645874023},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4120545983314514},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2000032365322113},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.19544541835784912},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17618951201438904},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1001838743686676}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6684646606445312},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.6339800357818604},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6156848669052124},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5950629115104675},{"id":"https://openalex.org/C195487862","wikidata":"https://www.wikidata.org/wiki/Q850210","display_name":"Revenue","level":2,"score":0.564814031124115},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.4457705616950989},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.43018102645874023},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4120545983314514},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2000032365322113},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.19544541835784912},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17618951201438904},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1001838743686676},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"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:10.1145/2229012.2229051","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2229012.2229051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th ACM Conference on Electronic Commerce","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1494498837","https://openalex.org/W1502332501","https://openalex.org/W1554763265","https://openalex.org/W1588477035","https://openalex.org/W1993197246","https://openalex.org/W1997345980","https://openalex.org/W2011039300","https://openalex.org/W2015007620","https://openalex.org/W2021734699","https://openalex.org/W2024679443","https://openalex.org/W2029050771","https://openalex.org/W2043749813","https://openalex.org/W2048991660","https://openalex.org/W2058634960","https://openalex.org/W2058728283","https://openalex.org/W2067758411","https://openalex.org/W2101319128","https://openalex.org/W2102045068","https://openalex.org/W2115747715","https://openalex.org/W2154327930","https://openalex.org/W2156109180","https://openalex.org/W2608666998","https://openalex.org/W3122305203","https://openalex.org/W4231144620","https://openalex.org/W6737359904"],"related_works":["https://openalex.org/W4382930947","https://openalex.org/W3081288631","https://openalex.org/W3152382318","https://openalex.org/W3004686567","https://openalex.org/W2738656338","https://openalex.org/W2603787370","https://openalex.org/W2555400967","https://openalex.org/W3214759741","https://openalex.org/W3174876210","https://openalex.org/W3126697728"],"abstract_inverted_index":{"Signaling":[0],"is":[1,28,53,106],"an":[2,25,134],"important":[3],"topic":[4],"in":[5,11,24,72,97,117],"the":[6,16,36,56,61,85,94,126,146],"study":[7,37,84],"of":[8,18,31,38,46,87,129,145],"asymmetric":[9],"information":[10,19],"economic":[12],"settings.":[13],"In":[14],"particular,":[15],"transparency":[17],"available":[20],"to":[21,55,60,68,132],"a":[22,29,42,47,89,98,122,155],"seller":[23],"auction":[26,45],"setting":[27],"question":[30],"major":[32],"interest.":[33],"We":[34,75,101],"introduce":[35],"signaling":[39,90,136],"when":[40],"conducting":[41],"second":[43],"price":[44],"probabilistic":[48],"good":[49],"whose":[50],"actual":[51],"instantiation":[52],"known":[54],"auctioneer":[57],"but":[58,114],"not":[59],"bidders.":[62],"This":[63],"framework":[64],"can":[65,150],"be":[66,151],"used":[67],"model":[69],"impressions":[70],"selling":[71],"display":[73],"advertising.":[74],"establish":[76,121],"several":[77],"results":[78],"within":[79,153],"this":[80,104],"framework.":[81],"First,":[82],"we":[83,120,139],"problem":[86,105],"computing":[88],"scheme":[91],"that":[92,103,141],"maximizes":[93],"auctioneer's":[95],"revenue":[96],"Bayesian":[99],"setting.":[100],"show":[102,140],"polynomially":[107],"solvable":[108],"for":[109],"some":[110],"interesting":[111],"special":[112],"cases,":[113],"computationally":[115],"hard":[116],"general.":[118],"Second,":[119],"tight":[123],"bound":[124],"on":[125],"minimum":[127],"number":[128],"signals":[130],"required":[131],"implement":[133],"optimal":[135],"scheme.":[137,156],"Finally,":[138],"at":[142],"least":[143],"half":[144],"maximum":[147],"social":[148],"welfare":[149],"preserved":[152],"such":[154]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":11},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":14},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}