{"id":"https://openalex.org/W2675337717","doi":"https://doi.org/10.1145/3033274.3084095","title":"Matching while Learning","display_name":"Matching while Learning","publication_year":2017,"publication_date":"2017-06-20","ids":{"openalex":"https://openalex.org/W2675337717","doi":"https://doi.org/10.1145/3033274.3084095","mag":"2675337717"},"language":"en","primary_location":{"id":"doi:10.1145/3033274.3084095","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3033274.3084095","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 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/A5042177635","display_name":"Ramesh Johari","orcid":"https://orcid.org/0000-0002-3960-0770"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ramesh Johari","raw_affiliation_strings":["Stanford University, Stanford, CA, USA"],"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048397860","display_name":"Vijay Kamble","orcid":"https://orcid.org/0000-0002-9261-1612"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vijay Kamble","raw_affiliation_strings":["Stanford University, Stanford, CA, USA"],"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000266593","display_name":"Yash Kanoria","orcid":"https://orcid.org/0000-0002-7221-357X"},"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":"Yash Kanoria","raw_affiliation_strings":["Columbia University, New York , NY, USA"],"affiliations":[{"raw_affiliation_string":"Columbia University, New York , NY, USA","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5042177635"],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":3.7455,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.93239906,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"119","last_page":"119"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9997000098228455,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9997000098228455,"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/T12288","display_name":"Optimization and Search Problems","score":0.994700014591217,"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/T10603","display_name":"Smart Grid Energy Management","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/stochastic-game","display_name":"Stochastic game","score":0.792884886264801},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7575266361236572},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7049180865287781},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6921725869178772},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.5294102430343628},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.5010311603546143},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3791148066520691},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3382028341293335},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3325074315071106},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.170437753200531},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13627350330352783},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.12294113636016846},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.10972288250923157},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.090566486120224},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.08586043119430542}],"concepts":[{"id":"https://openalex.org/C22171661","wikidata":"https://www.wikidata.org/wiki/Q1074380","display_name":"Stochastic game","level":2,"score":0.792884886264801},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7575266361236572},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7049180865287781},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6921725869178772},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.5294102430343628},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.5010311603546143},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3791148066520691},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3382028341293335},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3325074315071106},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.170437753200531},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13627350330352783},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.12294113636016846},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.10972288250923157},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.090566486120224},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.08586043119430542},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3033274.3084095","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3033274.3084095","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM Conference on Economics and Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G6214596932","display_name":null,"funder_award_id":"CNS-1544548,CNS-1343253","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8948317039","display_name":null,"funder_award_id":"n/a","funder_id":"https://openalex.org/F4320306164","funder_display_name":"Simons Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306164","display_name":"Simons Foundation","ror":"https://ror.org/01cmst727"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W141598899","https://openalex.org/W1484399206","https://openalex.org/W1543275501","https://openalex.org/W1911551976","https://openalex.org/W1972400284","https://openalex.org/W1973403707","https://openalex.org/W2002430844","https://openalex.org/W2008737310","https://openalex.org/W2009551863","https://openalex.org/W2012193618","https://openalex.org/W2013532620","https://openalex.org/W2029241234","https://openalex.org/W2049934117","https://openalex.org/W2068490100","https://openalex.org/W2096355537","https://openalex.org/W2105603396","https://openalex.org/W2110005947","https://openalex.org/W2135820513","https://openalex.org/W2148740516","https://openalex.org/W2149721706","https://openalex.org/W2158319693","https://openalex.org/W2168405694","https://openalex.org/W2169572553","https://openalex.org/W2183531780","https://openalex.org/W2184198027","https://openalex.org/W2186670430","https://openalex.org/W2187118707","https://openalex.org/W2199670402","https://openalex.org/W2251049298","https://openalex.org/W2299737032","https://openalex.org/W2307437521","https://openalex.org/W2499002200","https://openalex.org/W2740279318","https://openalex.org/W2963787128","https://openalex.org/W2963981813","https://openalex.org/W3001086228","https://openalex.org/W3122984617","https://openalex.org/W4247154108","https://openalex.org/W6604436752","https://openalex.org/W6605809192","https://openalex.org/W6687842789","https://openalex.org/W6696833859"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W2087343574","https://openalex.org/W4246352526","https://openalex.org/W2121910908"],"abstract_inverted_index":{"We":[0,33],"consider":[1],"the":[2,31,52,83,88,93],"problem":[3],"faced":[4],"by":[5,63],"a":[6,35,71,79],"service":[7],"platform":[8],"that":[9,43],"needs":[10],"to":[11,18,26,51,91],"match":[12,27,65,80],"supply":[13],"with":[14,38],"demand":[15],"but":[16,54],"also":[17],"learn":[19],"attributes":[20],"of":[21,74,85,96,98],"new":[22],"arrivals":[23],"in":[24,30],"order":[25],"them":[28],"better":[29],"future.":[32],"introduce":[34],"benchmark":[36],"model":[37],"heterogeneous":[39],"workers":[40],"and":[41,59,87],"jobs":[42],"arrive":[44],"over":[45],"time.":[46],"Job":[47],"types":[48,56,86],"are":[49,57],"known":[50],"platform,":[53],"worker":[55],"unknown":[58],"must":[60],"be":[61],"learned":[62],"observing":[64],"outcomes.":[66],"Workers":[67],"depart":[68],"after":[69],"performing":[70],"certain":[72],"number":[73],"jobs.":[75],"The":[76],"payoff":[77],"from":[78],"depends":[81],"on":[82],"pair":[84],"goal":[89],"is":[90],"maximize":[92],"steady-state":[94],"rate":[95],"accumulation":[97],"payoff.":[99]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-03-08T08:50:53.379069","created_date":"2025-10-10T00:00:00"}
