{"id":"https://openalex.org/W2588930656","doi":"https://doi.org/10.1145/3038912.3052578","title":"Segmenting Two-Sided Markets","display_name":"Segmenting Two-Sided Markets","publication_year":2017,"publication_date":"2017-04-03","ids":{"openalex":"https://openalex.org/W2588930656","doi":"https://doi.org/10.1145/3038912.3052578","mag":"2588930656"},"language":"en","primary_location":{"id":"doi:10.1145/3038912.3052578","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3038912.3052578","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th International Conference on World Wide Web","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3038912.3052578","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085889685","display_name":"Siddhartha Banerjee","orcid":"https://orcid.org/0000-0002-8954-4578"},"institutions":[{"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":"Siddhartha Banerjee","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039201046","display_name":"Sreenivas Gollapudi","orcid":"https://orcid.org/0000-0002-5732-3164"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sreenivas Gollapudi","raw_affiliation_strings":["Google Research, Mountain View, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Research, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034096393","display_name":"Kostas Kollias","orcid":"https://orcid.org/0000-0003-2889-5363"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kostas Kollias","raw_affiliation_strings":["Google Research, Mountain View, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Research, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047351951","display_name":"Kamesh Munagala","orcid":"https://orcid.org/0000-0003-2636-9650"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kamesh Munagala","raw_affiliation_strings":["Duke University, Durham, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Duke University, Durham, NC, USA","institution_ids":["https://openalex.org/I170897317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.7924,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.97122302,"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":"63","last_page":"72"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","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/T11182","display_name":"Auction Theory and Applications","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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9990000128746033,"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9979000091552734,"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/market-segmentation","display_name":"Market segmentation","score":0.6268177628517151},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5885319113731384},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5062064528465271},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.454143762588501},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.44101840257644653},{"id":"https://openalex.org/keywords/utility-maximization","display_name":"Utility maximization","score":0.4219658374786377},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.41547101736068726},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32594889402389526},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.3135806918144226},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.2660815715789795},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22461986541748047},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.13209927082061768}],"concepts":[{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.6268177628517151},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5885319113731384},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5062064528465271},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.454143762588501},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.44101840257644653},{"id":"https://openalex.org/C2985793214","wikidata":"https://www.wikidata.org/wiki/Q3274096","display_name":"Utility maximization","level":2,"score":0.4219658374786377},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.41547101736068726},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32594889402389526},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.3135806918144226},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.2660815715789795},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22461986541748047},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.13209927082061768}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3038912.3052578","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3038912.3052578","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th International Conference on World Wide Web","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3038912.3052578","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3038912.3052578","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th International Conference on World Wide Web","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.5400000214576721}],"awards":[{"id":"https://openalex.org/G5774808026","display_name":null,"funder_award_id":"IIS-1447554","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G759804249","display_name":null,"funder_award_id":"CCF-1637397","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7679193398","display_name":null,"funder_award_id":"CCF-1408784","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1561722246","https://openalex.org/W1680189815","https://openalex.org/W1989453388","https://openalex.org/W1991223607","https://openalex.org/W2002430844","https://openalex.org/W2063773487","https://openalex.org/W2085225290","https://openalex.org/W2102201348","https://openalex.org/W2108007463","https://openalex.org/W2115435070","https://openalex.org/W2130213477","https://openalex.org/W2141733661","https://openalex.org/W2156307401","https://openalex.org/W2170545834","https://openalex.org/W2520078259","https://openalex.org/W2953216963","https://openalex.org/W2963893554","https://openalex.org/W3021909905","https://openalex.org/W3121701465","https://openalex.org/W3121814081","https://openalex.org/W3123865676","https://openalex.org/W3124042719","https://openalex.org/W6676406790","https://openalex.org/W6766254159"],"related_works":["https://openalex.org/W2592395359","https://openalex.org/W2535231171","https://openalex.org/W2045342254","https://openalex.org/W1501331687","https://openalex.org/W2326647871","https://openalex.org/W4205247302","https://openalex.org/W2468652214","https://openalex.org/W2501551404","https://openalex.org/W1504527458","https://openalex.org/W2130144716"],"abstract_inverted_index":{"Recent":[0],"years":[1],"have":[2],"witnessed":[3],"the":[4,13,42,56,65,97,137,145,162],"rise":[5],"of":[6,34,36,68,123,134,147,164],"many":[7,35],"successful":[8],"e-commerce":[9],"marketplace":[10],"platforms":[11],"like":[12],"Amazon":[14],"marketplace,":[15],"AirBnB,":[16],"Uber/Lyft,":[17],"and":[18,29,49,58,92,125,139],"Upwork,":[19],"where":[20,84],"a":[21,82,132],"central":[22],"platform":[23,43,87,98],"mediates":[24],"economic":[25],"transactions":[26],"between":[27],"buyers":[28,57],"sellers.":[30,59],"A":[31],"common":[32],"feature":[33],"these":[37],"two-sided":[38,75],"marketplaces":[39],"is":[40],"that":[41],"has":[44],"full":[45],"control":[46,107],"over":[47],"search":[48],"discovery,":[50],"but":[51],"prices":[52],"are":[53,110],"determined":[54],"by":[55,61],"Motivated":[60],"this,":[62],"we":[63],"study":[64],"algorithmic":[66],"aspects":[67],"market":[69],"segmentation":[70],"via":[71],"directed":[72],"discovery":[73,101],"in":[74],"markets":[76],"with":[77,128],"endogenous":[78],"prices.":[79],"We":[80,115,142],"consider":[81],"model":[83],"an":[85],"online":[86],"knows":[88],"each":[89,113],"buyer/seller's":[90],"characteristics,":[91],"associated":[93],"demand/supply":[94],"elasticities.":[95],"Moreover,":[96],"can":[99],"use":[100],"mechanisms":[102],"(search,":[103],"recommendation,":[104],"etc.)":[105],"to":[106,112],"which":[108],"buyers/sellers":[109],"visible":[111],"other.":[114],"develop":[116],"efficient":[117],"algorithms":[118,166],"for":[119],"throughput":[120],"(i.e.":[121],"volume":[122],"trade)":[124],"welfare":[126],"maximization":[127],"provable":[129],"guarantees":[130],"under":[131],"variety":[133],"assumptions":[135,149],"on":[136,150,167],"demand":[138,151],"supply":[140],"functions.":[141],"also":[143],"test":[144],"validity":[146],"our":[148,165],"curves":[152],"inferred":[153],"from":[154],"NYC":[155],"taxicab":[156],"log-data,":[157],"as":[158,160],"well":[159],"show":[161],"performance":[163],"synthetic":[168],"experiments.":[169]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}