{"id":"https://openalex.org/W4296604462","doi":"https://doi.org/10.1145/3523227.3547379","title":"Recommending for a multi-sided marketplace with heterogeneous contents","display_name":"Recommending for a multi-sided marketplace with heterogeneous contents","publication_year":2022,"publication_date":"2022-09-13","ids":{"openalex":"https://openalex.org/W4296604462","doi":"https://doi.org/10.1145/3523227.3547379"},"language":"en","primary_location":{"id":"doi:10.1145/3523227.3547379","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3523227.3547379","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM Conference on Recommender Systems","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/A5100677212","display_name":"Yuyan Wang","orcid":"https://orcid.org/0000-0001-5585-3789"},"institutions":[{"id":"https://openalex.org/I2946016260","display_name":"Uber AI (United States)","ror":"https://ror.org/05vm0ed18","country_code":"US","type":"company","lineage":["https://openalex.org/I2946016260"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yuyan Wang","raw_affiliation_strings":["Uber Technologies, Inc., United States"],"affiliations":[{"raw_affiliation_string":"Uber Technologies, Inc., United States","institution_ids":["https://openalex.org/I2946016260"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101968931","display_name":"Tao Long","orcid":"https://orcid.org/0000-0002-1329-3776"},"institutions":[{"id":"https://openalex.org/I2946016260","display_name":"Uber AI (United States)","ror":"https://ror.org/05vm0ed18","country_code":"US","type":"company","lineage":["https://openalex.org/I2946016260"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Long Tao","raw_affiliation_strings":["Uber Tech. Inc, United States"],"affiliations":[{"raw_affiliation_string":"Uber Tech. Inc, United States","institution_ids":["https://openalex.org/I2946016260"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003517091","display_name":"Xian Xing Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xian Xing Zhang","raw_affiliation_strings":["Pinterest, United States"],"affiliations":[{"raw_affiliation_string":"Pinterest, United States","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100677212"],"corresponding_institution_ids":["https://openalex.org/I2946016260"],"apc_list":null,"apc_paid":null,"fwci":0.909,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.79836792,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"456","last_page":"459"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11478","display_name":"Caching and Content Delivery","score":0.9854999780654907,"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9775000214576721,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.838699221611023},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7796839475631714},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.7787932753562927},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6372168660163879},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5561601519584656},{"id":"https://openalex.org/keywords/transparency","display_name":"Transparency (behavior)","score":0.4569332003593445},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4548843204975128},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.303230881690979},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18590649962425232}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.838699221611023},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7796839475631714},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.7787932753562927},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6372168660163879},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5561601519584656},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.4569332003593445},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4548843204975128},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.303230881690979},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18590649962425232},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3523227.3547379","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3523227.3547379","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM Conference on Recommender Systems","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":18,"referenced_works":["https://openalex.org/W1967635926","https://openalex.org/W2029119963","https://openalex.org/W2040257652","https://openalex.org/W2087906029","https://openalex.org/W2107569009","https://openalex.org/W2133254571","https://openalex.org/W2149427297","https://openalex.org/W2171960770","https://openalex.org/W2295072097","https://openalex.org/W2337718061","https://openalex.org/W2512971201","https://openalex.org/W2533692962","https://openalex.org/W3099814932","https://openalex.org/W3122125470","https://openalex.org/W3124281706","https://openalex.org/W3124312273","https://openalex.org/W3199620427","https://openalex.org/W6703949738"],"related_works":["https://openalex.org/W2259539302","https://openalex.org/W130381036","https://openalex.org/W2124519725","https://openalex.org/W2598622102","https://openalex.org/W7602594","https://openalex.org/W2141277649","https://openalex.org/W3088559275","https://openalex.org/W2323581027","https://openalex.org/W1983357246","https://openalex.org/W1980617223"],"abstract_inverted_index":{"Many":[0],"online":[1,173,189],"personalization":[2],"platforms":[3,192],"today":[4],"are":[5,65],"recommending":[6],"heterogeneous":[7,70,101,130,218],"contents":[8,219],"in":[9,27,38,96,171,175,193,216,226],"a":[10,21,49,74,90,97,107,121,197],"multi-sided":[11,50,98],"marketplace":[12,40,51,99,199],"consisting":[13,200],"of":[14,81,144,146,152,186,201,213],"consumers,":[15],"merchants":[16,156],"and":[17,43,102,120,149,157,169,196,205,220],"other":[18,82],"partners.":[19,207],"For":[20],"recommender":[22,94],"system":[23],"to":[24,68,154],"be":[25,78],"successful":[26],"these":[28],"contexts,":[29],"it":[30],"faces":[31],"two":[32],"main":[33],"challenges.":[34],"First,":[35],"each":[36,116],"side":[37],"the":[39,61,69,147,155,180,187,194,211,223,227,236],"has":[41,231],"different":[42,142],"potentially":[44],"conflicting":[45],"utilities.":[46],"Recommending":[47],"for":[48,93,115,125,167,222,239],"therefore":[52],"entails":[53],"jointly":[54],"optimizing":[55,221],"multiple":[56],"objectives":[57],"with":[58,100,111],"trade-offs.":[59],"Second,":[60],"off-the-shelf":[62],"recommendation":[63,75,83,170,237],"algorithms":[64],"not":[66],"applicable":[67],"content":[71,158],"space,":[72],"where":[73],"item":[76],"could":[77],"an":[79,163],"aggregation":[80,145],"items.":[84],"In":[85],"this":[86],"work,":[87],"we":[88],"develop":[89,162],"general":[91],"framework":[92,110,181,215,230],"systems":[95,174],"hierarchical":[103],"contents.":[104,131],"We":[105,160,178],"propose":[106],"constrained":[108],"optimization":[109,165],"machine":[112],"learning":[113],"models":[114],"objective":[117],"as":[118,235],"inputs,":[119],"probabilistic":[122],"structural":[123,134],"model":[124],"users\u2019":[126],"engagement":[127],"patterns":[128],"on":[129],"Our":[132,229],"proposed":[133],"modeling":[135],"approach":[136],"ensures":[137],"consistent":[138],"user":[139],"experience":[140],"across":[141],"levels":[143,151],"contents,":[148],"provides":[150],"transparency":[153],"providers.":[159],"further":[161],"efficient":[164],"solution":[166],"ranking":[168,217],"large-scale":[172],"real":[176],"time.":[177],"implement":[179],"at":[182],"Uber":[183,240],"Eats,":[184],"one":[185],"largest":[188],"food":[190],"delivery":[191,206],"world":[195],"three-sided":[198],"eaters,":[202],"restaurant":[203],"partners":[204],"Online":[208],"experiments":[209],"demonstrate":[210],"effectiveness":[212],"our":[214],"three":[224],"sides":[225],"marketplace.":[228],"been":[232],"deployed":[233],"globally":[234],"algorithm":[238],"Eats\u2019":[241],"homepage.":[242]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
