{"id":"https://openalex.org/W2964137355","doi":"https://doi.org/10.1145/3328526.3329635","title":"The Perils of Exploration under Competition","display_name":"The Perils of Exploration under Competition","publication_year":2019,"publication_date":"2019-06-17","ids":{"openalex":"https://openalex.org/W2964137355","doi":"https://doi.org/10.1145/3328526.3329635","mag":"2964137355"},"language":"en","primary_location":{"id":"doi:10.1145/3328526.3329635","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3328526.3329635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 ACM Conference on Economics and Computation","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/A5079311115","display_name":"Guy Aridor","orcid":"https://orcid.org/0000-0003-3109-4241"},"institutions":[{"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":false,"raw_author_name":"Guy Aridor","raw_affiliation_strings":["Columbia University, New York, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100658207","display_name":"Kevin Liu","orcid":"https://orcid.org/0000-0002-0942-6513"},"institutions":[{"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":false,"raw_author_name":"Kevin Liu","raw_affiliation_strings":["Columbia University, New York, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058550942","display_name":"Aleksandrs Slivkins","orcid":"https://orcid.org/0000-0001-6899-6383"},"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/I4401726785","display_name":"Microsoft Research New York City (United States)","ror":"https://ror.org/056zprp28","country_code":null,"type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4401726785"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aleksandrs Slivkins","raw_affiliation_strings":["Microsoft Research, New York, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, New York, NY, USA","institution_ids":["https://openalex.org/I1290206253","https://openalex.org/I4401726785"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001070941","display_name":"Zhiwei Steven Wu","orcid":"https://orcid.org/0000-0002-8125-8227"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiwei Steven Wu","raw_affiliation_strings":["University of Minnesota, Minneapolis, MN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"171","last_page":"172"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9962999820709229,"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":0.9962999820709229,"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":0.9914000034332275,"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/T11031","display_name":"Game Theory and Applications","score":0.9904999732971191,"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/duopoly","display_name":"Duopoly","score":0.9340837001800537},{"id":"https://openalex.org/keywords/stylized-fact","display_name":"Stylized fact","score":0.910895824432373},{"id":"https://openalex.org/keywords/competition","display_name":"Competition (biology)","score":0.7312120795249939},{"id":"https://openalex.org/keywords/monopoly","display_name":"Monopoly","score":0.6481732130050659},{"id":"https://openalex.org/keywords/reputation","display_name":"Reputation","score":0.5955013036727905},{"id":"https://openalex.org/keywords/industrial-organization","display_name":"Industrial organization","score":0.5134316682815552},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.47470253705978394},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.4484180212020874},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4478248357772827},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43504226207733154},{"id":"https://openalex.org/keywords/first-mover-advantage","display_name":"First-mover advantage","score":0.4243726134300232},{"id":"https://openalex.org/keywords/oligopoly","display_name":"Oligopoly","score":0.4164716899394989},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.32307660579681396},{"id":"https://openalex.org/keywords/cournot-competition","display_name":"Cournot competition","score":0.16666415333747864}],"concepts":[{"id":"https://openalex.org/C180456769","wikidata":"https://www.wikidata.org/wiki/Q750207","display_name":"Duopoly","level":3,"score":0.9340837001800537},{"id":"https://openalex.org/C38935604","wikidata":"https://www.wikidata.org/wiki/Q4330363","display_name":"Stylized fact","level":2,"score":0.910895824432373},{"id":"https://openalex.org/C91306197","wikidata":"https://www.wikidata.org/wiki/Q45767","display_name":"Competition (biology)","level":2,"score":0.7312120795249939},{"id":"https://openalex.org/C2781127519","wikidata":"https://www.wikidata.org/wiki/Q43637","display_name":"Monopoly","level":2,"score":0.6481732130050659},{"id":"https://openalex.org/C48798503","wikidata":"https://www.wikidata.org/wiki/Q877546","display_name":"Reputation","level":2,"score":0.5955013036727905},{"id":"https://openalex.org/C40700","wikidata":"https://www.wikidata.org/wiki/Q1411783","display_name":"Industrial organization","level":1,"score":0.5134316682815552},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.47470253705978394},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.4484180212020874},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4478248357772827},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43504226207733154},{"id":"https://openalex.org/C196276664","wikidata":"https://www.wikidata.org/wiki/Q121716","display_name":"First-mover advantage","level":2,"score":0.4243726134300232},{"id":"https://openalex.org/C121398111","wikidata":"https://www.wikidata.org/wiki/Q103639","display_name":"Oligopoly","level":3,"score":0.4164716899394989},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.32307660579681396},{"id":"https://openalex.org/C16520705","wikidata":"https://www.wikidata.org/wiki/Q601799","display_name":"Cournot competition","level":2,"score":0.16666415333747864},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3328526.3329635","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3328526.3329635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 ACM Conference on Economics and Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2183734359","https://openalex.org/W1033427167","https://openalex.org/W3123172838","https://openalex.org/W3124852105","https://openalex.org/W2076152347","https://openalex.org/W1994034944","https://openalex.org/W2332121779","https://openalex.org/W3172345227","https://openalex.org/W644288959","https://openalex.org/W1585825761"],"abstract_inverted_index":{"We":[0,98,108,131],"empirically":[1],"study":[2],"the":[3,40,52,69,74,79,86,95,180,184,189],"interplay":[4],"between":[5],"exploration":[6,45,102],"and":[7,92,126,135,148,169],"competition.":[8,107],"Systems":[9],"that":[10,133,144,191],"learn":[11,82],"from":[12],"interactions":[13],"with":[14,55,160],"users":[15,77],"often":[16],"engage":[17],"in":[18,24,51,113,118,183,200],"exploration:":[19],"making":[20],"potentially":[21],"suboptimal":[22],"decisions":[23],"order":[25],"to":[26,81,90,138,150,171,198],"acquire":[27],"new":[28],"information":[29],"for":[30,39,78,128],"future":[31],"decisions.":[32],"However,":[33],"when":[34,68],"multiple":[35],"systems":[36],"are":[37,104],"competing":[38],"same":[41],"market":[42,96],"of":[43,76],"users,":[44],"may":[46,63,164],"hurt":[47],"a":[48,61,65,114,140,155,196],"system's":[49,87],"reputation":[50,71],"near":[53],"term,":[54],"adverse":[56],"competitive":[57],"effects.":[58],"In":[59],"particular,":[60],"system":[62,80],"enter":[64],"\"death":[66],"spiral\",":[67],"short-term":[70],"cost":[72],"decreases":[73,94],"number":[75],"from,":[83],"which":[84,119],"degrades":[85],"performance":[88],"relative":[89],"competition":[91],"further":[93],"share.":[97],"ask":[99],"whether":[100],"better":[101,166],"algorithms":[103,125,168],"incentivized":[105],"under":[106],"run":[109],"extensive":[110],"numerical":[111],"experiments":[112],"stylized":[115],"duopoly":[116,134,159],"model":[117],"two":[120],"firms":[121],"deploy":[122],"multi-armed":[123],"bandit":[124,167],"compete":[127],"myopic":[129],"users.":[130],"find":[132],"monopoly":[136,157],"tend":[137],"favor":[139],"primitive":[141],"\"greedy":[142],"algorithm\"":[143],"does":[145],"not":[146],"explore":[147],"leads":[149],"low":[151],"consumer":[152,173],"welfare,":[153],"whereas":[154],"temporary":[156],"(a":[158],"an":[161],"early":[162],"entrant)":[163],"incentivize":[165],"lead":[170],"higher":[172],"welfare.":[174],"Our":[175],"findings":[176],"shed":[177],"light":[178],"on":[179],"first-mover":[181],"advantage":[182],"digital":[185],"economy":[186],"by":[187],"exploring":[188],"role":[190],"data":[192],"can":[193],"play":[194],"as":[195],"barrier":[197],"entry":[199],"online":[201],"markets.":[202]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
