{"id":"https://openalex.org/W4285094232","doi":"https://doi.org/10.1145/3490486.3538332","title":"Optimal Match Recommendations in Two-sided Marketplaces with Endogenous Prices","display_name":"Optimal Match Recommendations in Two-sided Marketplaces with Endogenous Prices","publication_year":2022,"publication_date":"2022-07-12","ids":{"openalex":"https://openalex.org/W4285094232","doi":"https://doi.org/10.1145/3490486.3538332"},"language":"en","primary_location":{"id":"doi:10.1145/3490486.3538332","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3490486.3538332","pdf_url":null,"source":{"id":"https://openalex.org/S4363608973","display_name":"Proceedings of the 23rd ACM Conference on Economics and Computation","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd 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/A5066086792","display_name":"Peng Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Peng Shi","raw_affiliation_strings":["University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5066086792"],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":2.7057,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.90709459,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"794","last_page":"794"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.965499997138977,"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"}},"topics":[{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.965499997138977,"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/T11437","display_name":"Digital Platforms and Economics","score":0.9588000178337097,"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9365000128746033,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/endogeneity","display_name":"Endogeneity","score":0.8628749847412109},{"id":"https://openalex.org/keywords/subgradient-method","display_name":"Subgradient method","score":0.6528825163841248},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5783963203430176},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.5737059116363525},{"id":"https://openalex.org/keywords/service-provider","display_name":"Service provider","score":0.5126320719718933},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4207576513290405},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3985854387283325},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.3958948254585266},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.37732622027397156},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3485513925552368},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.34501928091049194},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1041979193687439},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08358839154243469}],"concepts":[{"id":"https://openalex.org/C610760","wikidata":"https://www.wikidata.org/wiki/Q1340706","display_name":"Endogeneity","level":2,"score":0.8628749847412109},{"id":"https://openalex.org/C158968445","wikidata":"https://www.wikidata.org/wiki/Q7631150","display_name":"Subgradient method","level":2,"score":0.6528825163841248},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5783963203430176},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.5737059116363525},{"id":"https://openalex.org/C116537","wikidata":"https://www.wikidata.org/wiki/Q2169973","display_name":"Service provider","level":3,"score":0.5126320719718933},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4207576513290405},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3985854387283325},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.3958948254585266},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.37732622027397156},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3485513925552368},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.34501928091049194},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1041979193687439},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08358839154243469},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3490486.3538332","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3490486.3538332","pdf_url":null,"source":{"id":"https://openalex.org/S4363608973","display_name":"Proceedings of the 23rd ACM Conference on Economics and Computation","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM Conference on Economics and Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2359120930","https://openalex.org/W2037613239","https://openalex.org/W2781777036","https://openalex.org/W2390469630","https://openalex.org/W2059050877","https://openalex.org/W1971290991","https://openalex.org/W2621152421","https://openalex.org/W4252805411","https://openalex.org/W3164230063","https://openalex.org/W3185282108"],"abstract_inverted_index":{"Many":[0],"two-sided":[1],"marketplaces":[2],"rely":[3],"on":[4,69,99,124],"match":[5,38,72,84,159,190],"recommendations":[6,160],"to":[7,35,43,79,132,156,173,186],"help":[8],"customers":[9],"find":[10],"suitable":[11,15],"service":[12],"providers":[13,65],"at":[14,176],"prices.":[16],"(Examples":[17],"include":[18],"Angi,":[19],"HomeAdvisor,":[20],"Thumbtack":[21],"and":[22,66,115],"To8to.)":[23],"This":[24],"paper":[25],"develops":[26],"a":[27,31,108,121,177],"tractable":[28],"methodology":[29],"that":[30,127,137,164],"platform":[32,51,119,154,184],"can":[33,67,87],"use":[34],"optimize":[36,157],"its":[37,158,189],"recommendation":[39,73,85,191],"policy":[40,86,106,136,192],"so":[41],"as":[42],"maximize":[44],"the":[45,50,55,64,70,76,100,118,125,128,146,153,169,183],"total":[46],"value":[47],"generated":[48],"by":[49,63],"while":[52,161],"accounting":[53,144],"for":[54,111,145],"endogeneity":[56,147],"of":[57,102,148],"transaction":[58],"prices,":[59],"which":[60],"are":[61,166],"determined":[62],"depend":[68],"platform's":[71],"policy.":[74],"Despite":[75],"complications":[77],"due":[78],"price":[80],"endogeneity,":[81],"an":[82,104],"optimal":[83,105],"be":[88],"computed":[89],"efficiently":[90],"using":[91],"stochastic":[92],"subgradient":[93],"descent.":[94],"Under":[95],"additional":[96],"regularity":[97],"conditions":[98],"distribution":[101],"preferences,":[103],"has":[107,120],"simple":[109],"form:":[110],"each":[112,116],"customer":[113],"segment":[114],"provider,":[117],"certain":[122],"target":[123],"rate":[126],"provider":[129],"is":[130,141,150,171],"recommended":[131],"this":[133],"segment.":[134],"Any":[135],"achieves":[138],"these":[139],"targets":[140],"optimal.":[142],"Finally,":[143],"prices":[149,165,194],"crucial:":[151],"if":[152,182],"were":[155,185],"erroneously":[162],"assuming":[163],"exogenous,":[167],"then":[168],"market":[170],"likely":[172],"get":[174],"stuck":[175],"strictly":[178],"sub-optimal":[179],"equilibrium,":[180],"even":[181],"continually":[187],"re-optimize":[188],"after":[193],"re-equilibrate.":[195]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}