{"id":"https://openalex.org/W2060049918","doi":"https://doi.org/10.1145/2229012.2229018","title":"Online prophet-inequality matching with applications to ad allocation","display_name":"Online prophet-inequality matching with applications to ad allocation","publication_year":2012,"publication_date":"2012-06-04","ids":{"openalex":"https://openalex.org/W2060049918","doi":"https://doi.org/10.1145/2229012.2229018","mag":"2060049918"},"language":"en","primary_location":{"id":"doi:10.1145/2229012.2229018","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2229012.2229018","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/A5078015285","display_name":"Saeed Alaei","orcid":"https://orcid.org/0000-0002-5165-5619"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saeed Alaei","raw_affiliation_strings":["University of Maryland at College Park, College Park, USA","University of Maryland at College Park, College Park, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland at College Park, College Park, USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"University of Maryland at College Park, College Park, USA#TAB#","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111876448","display_name":"MohammadTaghi Hajiaghayi","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"MohammadTaghi Hajiaghayi","raw_affiliation_strings":["University of Maryland at College Park, College Park, USA","University of Maryland at College Park, College Park, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland at College Park, College Park, USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"University of Maryland at College Park, College Park, USA#TAB#","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055811592","display_name":"Vahid Liaghat","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vahid Liaghat","raw_affiliation_strings":["University of Maryland at College Park, College Park, USA","University of Maryland at College Park, College Park, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland at College Park, College Park, USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"University of Maryland at College Park, College Park, USA#TAB#","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":103,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"18","last_page":"35"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9994000196456909,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9901000261306763,"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/bipartite-graph","display_name":"Bipartite graph","score":0.8693565726280212},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.8034667372703552},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5599965453147888},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.5357443690299988},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5329751968383789},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5227189660072327},{"id":"https://openalex.org/keywords/online-algorithm","display_name":"Online algorithm","score":0.5052948594093323},{"id":"https://openalex.org/keywords/inequality","display_name":"Inequality","score":0.5017139911651611},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.4839473068714142},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4802446663379669},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.42551547288894653},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4206393361091614},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.3940128684043884},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.34532925486564636},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.33445847034454346},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24767881631851196},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17420464754104614}],"concepts":[{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.8693565726280212},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.8034667372703552},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5599965453147888},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.5357443690299988},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5329751968383789},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5227189660072327},{"id":"https://openalex.org/C196921405","wikidata":"https://www.wikidata.org/wiki/Q786431","display_name":"Online algorithm","level":2,"score":0.5052948594093323},{"id":"https://openalex.org/C45555294","wikidata":"https://www.wikidata.org/wiki/Q28113351","display_name":"Inequality","level":2,"score":0.5017139911651611},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.4839473068714142},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4802446663379669},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.42551547288894653},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4206393361091614},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3940128684043884},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.34532925486564636},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33445847034454346},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24767881631851196},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17420464754104614},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2229012.2229018","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2229012.2229018","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W168668051","https://openalex.org/W205662698","https://openalex.org/W1496647032","https://openalex.org/W1520699505","https://openalex.org/W1530458910","https://openalex.org/W1578666690","https://openalex.org/W1659045240","https://openalex.org/W1783659154","https://openalex.org/W1972584058","https://openalex.org/W2010060477","https://openalex.org/W2011730242","https://openalex.org/W2024334917","https://openalex.org/W2034828004","https://openalex.org/W2052494364","https://openalex.org/W2070546659","https://openalex.org/W2079669094","https://openalex.org/W2104224720","https://openalex.org/W2117344175","https://openalex.org/W2131951207","https://openalex.org/W2158268067","https://openalex.org/W2170675255","https://openalex.org/W2950397526","https://openalex.org/W2951400471","https://openalex.org/W4252172911","https://openalex.org/W6606743828"],"related_works":["https://openalex.org/W4320022211","https://openalex.org/W1518546215","https://openalex.org/W2381564394","https://openalex.org/W1725047827","https://openalex.org/W4300815962","https://openalex.org/W2949690312","https://openalex.org/W3000166930","https://openalex.org/W4287905780","https://openalex.org/W2051294918","https://openalex.org/W2750046462"],"abstract_inverted_index":{"We":[0,24,102,165,184],"study":[1],"the":[2,26,47,63,70,73,78,96,99,113,116,124,137,155,158,163,169,174,186,195,203,210,224],"problem":[3],"of":[4,16,22,28,49,59,66,75,98,115,160,173,176,198,208,216,223],"online":[5,20,79],"prophet-inequality":[6],"matching":[7,61],"in":[8,30,106,119,157],"bipartite":[9,35],"graphs.":[10],"There":[11],"is":[12,62,93,140,202,219],"a":[13,33,40,60,86,107,178,213,220],"static":[14],"set":[15],"bidders":[17,29],"and":[18],"an":[19,43,76,192],"stream":[21],"items.":[23],"represent":[25],"interest":[27],"items":[31,50,118,125,161],"by":[32,190],"weighted":[34],"graph.":[36],"Each":[37],"bidder":[38,87],"has":[39],"capacity,":[41],"i.e.,":[42,132],"upper":[44],"bound":[45],"on":[46],"number":[48],"that":[51,136],"can":[52],"be":[53,127],"allocated":[54],"to":[55,69,85,94,126,147,153],"her.":[56],"The":[57,91],"weight":[58,65,97],"total":[64],"edges":[67],"matched":[68],"bidders.":[71],"Upon":[72],"arrival":[74],"item,":[77],"algorithm":[80,193,211],"should":[81],"either":[82],"allocate":[83],"it":[84],"or":[88],"discard":[89],"it.":[90],"objective":[92],"maximize":[95],"resulting":[100],"matching.":[101],"consider":[103],"this":[104,150,167],"model":[105,154],"stochastic":[108],"setting":[109,168],"where":[110,200],"we":[111,122,133],"know":[112],"distribution":[114,143,159,180],"incoming":[117],"advance.":[120],"Furthermore,":[121],"allow":[123],"drawn":[128,141],"from":[129,142],"different":[130,179,221],"distributions,":[131],"may":[134],"assume":[135],"tth":[138],"item":[139],"Dt.":[144],"In":[145,206],"contrast":[146],"i.i.d.":[148],"model,":[149],"allows":[151],"us":[152],"change":[156],"throughout":[162],"time.":[164,183],"call":[166],"Prophet-Inequality":[170],"Matching":[171],"because":[172],"possibility":[175],"having":[177],"for":[181],"each":[182],"generalize":[185],"classic":[187],"prophet":[188,225],"inequality":[189],"presenting":[191],"with":[194],"approximation":[196],"ratio":[197,215],"1--1/\u221ak+3":[199],"k":[201],"minimum":[204],"capacity.":[205],"case":[207],"k=2,":[209],"gives":[212],"tight":[214],"1/2":[217],"which":[218],"proof":[222],"inequality.":[226]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}