{"id":"https://openalex.org/W4401857376","doi":"https://doi.org/10.1145/3637528.3671484","title":"TSMO 2024: Two-sided Marketplace Optimization","display_name":"TSMO 2024: Two-sided Marketplace Optimization","publication_year":2024,"publication_date":"2024-08-24","ids":{"openalex":"https://openalex.org/W4401857376","doi":"https://doi.org/10.1145/3637528.3671484"},"language":"en","primary_location":{"id":"doi:10.1145/3637528.3671484","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637528.3671484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","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/A5073187608","display_name":"Mihajlo Grbovic","orcid":"https://orcid.org/0009-0003-0928-8776"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mihajlo Grbovic","raw_affiliation_strings":["Airbnb, Inc., San Francisco, CA, USA"],"raw_orcid":"https://orcid.org/0009-0003-0928-8776","affiliations":[{"raw_affiliation_string":"Airbnb, Inc., San Francisco, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085497926","display_name":"Vladan Radosavljevi\u0107","orcid":"https://orcid.org/0009-0006-9128-1101"},"institutions":[{"id":"https://openalex.org/I4210122154","display_name":"Photon Spot (United States)","ror":"https://ror.org/01yxc0v75","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122154"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vladan Radosavljevic","raw_affiliation_strings":["Spotify, New York City, NY, USA"],"raw_orcid":"https://orcid.org/0009-0006-9128-1101","affiliations":[{"raw_affiliation_string":"Spotify, New York City, NY, USA","institution_ids":["https://openalex.org/I4210122154"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100699702","display_name":"Minmin Chen","orcid":"https://orcid.org/0000-0002-7342-9022"},"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":"Minmin Chen","raw_affiliation_strings":["Google Deepmind, Mountain View, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-7342-9022","affiliations":[{"raw_affiliation_string":"Google Deepmind, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106708672","display_name":"Katerina Iliakopoulou-Zanos","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Katerina Iliakopoulou-Zanos","raw_affiliation_strings":["Meta, New York City, NY, USA"],"raw_orcid":"https://orcid.org/0009-0007-9149-6812","affiliations":[{"raw_affiliation_string":"Meta, New York City, NY, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049292227","display_name":"Thanasis Noulas","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thanasis Noulas","raw_affiliation_strings":["Bitvavo, Thessaloniki, Greece"],"raw_orcid":"https://orcid.org/0009-0001-7141-3780","affiliations":[{"raw_affiliation_string":"Bitvavo, Thessaloniki, Greece","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078703356","display_name":"Amit Goyal","orcid":"https://orcid.org/0009-0002-8354-3336"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amit Goyal","raw_affiliation_strings":["Amazon, San Francisco, CA, USA"],"raw_orcid":"https://orcid.org/0009-0002-8354-3336","affiliations":[{"raw_affiliation_string":"Amazon, San Francisco, CA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044165871","display_name":"Fabrizio Silvestri","orcid":"https://orcid.org/0000-0001-7669-9055"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabrizio Silvestri","raw_affiliation_strings":["Sapienza University of Rome, Rome, Italy"],"raw_orcid":"https://orcid.org/0000-0001-7669-9055","affiliations":[{"raw_affiliation_string":"Sapienza University of Rome, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19983087,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6716","last_page":"6717"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.5537999868392944,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.5537999868392944,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.5406000018119812,"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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.5356000065803528,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/computer-science","display_name":"Computer science","score":0.5803936123847961}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5803936123847961}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3637528.3671484","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637528.3671484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","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":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"In":[0,15,118],"recent":[1],"years,":[2],"two-sided":[3],"marketplaces":[4],"have":[5,18,148],"emerged":[6],"as":[7],"viable":[8],"business":[9],"models":[10,152],"in":[11,87],"many":[12],"real-world":[13],"applications.":[14],"particular,":[16],"we":[17],"moved":[19],"from":[20],"the":[21,35,95,127,132],"social":[22],"network":[23,27],"paradigm":[24],"to":[25,51,136,149],"a":[26,40],"with":[28],"two":[29],"distinct":[30],"types":[31],"of":[32,39,44,89],"participants":[33],"representing":[34],"supply":[36],"and":[37,147,156],"demand":[38],"specific":[41],"good.":[42],"Examples":[43],"industries":[45,91],"include":[46],"but":[47],"are":[48,141],"not":[49],"limited":[50],"accommodation":[52],"(Airbnb,":[53],"Booking.com),":[54],"video":[55],"content":[56,143],"(YouTube,":[57],"Instagram,":[58,124],"TikTok),":[59],"ridesharing":[60],"(Uber,":[61],"Lyft),":[62],"online":[63],"shops":[64],"(Etsy,":[65],"Ebay,":[66],"Facebook":[67],"Marketplace),":[68],"music":[69],"(Spotify,":[70],"Amazon),":[71],"app":[72],"stores":[73],"(Apple":[74],"App":[75,78],"Store,":[76],"Google":[77],"Store)":[79],"or":[80,109,125,145],"job":[81],"sites":[82],"(LinkedIn).":[83],"The":[84],"traditional":[85],"research":[86],"most":[88],"these":[90],"focused":[92],"on":[93],"satisfying":[94],"demand.":[96],"OTAs":[97],"would":[98,104,112],"sell":[99],"hotel":[100],"accommodation,":[101],"TV":[102],"networks":[103],"broadcast":[105],"their":[106,114,137,151,154],"own":[107,113,115],"content,":[108],"taxi":[110],"companies":[111],"vehicle":[116],"fleet.":[117],"modern":[119],"examples":[120],"like":[121],"Airbnb,":[122],"YouTube,":[123],"Uber,":[126],"platforms":[128],"operate":[129],"by":[130],"outsourcing":[131],"service":[133],"they":[134,140],"provide":[135],"users,":[138],"whether":[139],"hosts,":[142],"creators":[144],"drivers,":[146],"develop":[150],"considering":[153],"needs":[155],"goals.":[157]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}