{"id":"https://openalex.org/W4387846232","doi":"https://doi.org/10.1145/3583780.3615000","title":"Optimizing for Member Value in an Edge Building Marketplace","display_name":"Optimizing for Member Value in an Edge Building Marketplace","publication_year":2023,"publication_date":"2023-10-21","ids":{"openalex":"https://openalex.org/W4387846232","doi":"https://doi.org/10.1145/3583780.3615000"},"language":"en","primary_location":{"id":"doi:10.1145/3583780.3615000","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3615000","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://dspace.mit.edu/bitstream/1721.1/152628/1/3583780.3615000.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089076618","display_name":"Ayan Acharya","orcid":"https://orcid.org/0000-0003-3023-4337"},"institutions":[{"id":"https://openalex.org/I1316064682","display_name":"LinkedIn (United States)","ror":"https://ror.org/02fyxhe35","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I1316064682"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ayan Acharya","raw_affiliation_strings":["LinkedIn Inc., Sunnyvale, CA, USA"],"affiliations":[{"raw_affiliation_string":"LinkedIn Inc., Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I1316064682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089561890","display_name":"Siyuan Gao","orcid":"https://orcid.org/0000-0002-8925-7042"},"institutions":[{"id":"https://openalex.org/I1316064682","display_name":"LinkedIn (United States)","ror":"https://ror.org/02fyxhe35","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I1316064682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Siyuan Gao","raw_affiliation_strings":["LinkedIn Inc., Sunnyvale, CA, USA"],"affiliations":[{"raw_affiliation_string":"LinkedIn Inc., Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I1316064682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026898200","display_name":"Ankan Saha","orcid":null},"institutions":[{"id":"https://openalex.org/I1316064682","display_name":"LinkedIn (United States)","ror":"https://ror.org/02fyxhe35","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I1316064682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ankan Saha","raw_affiliation_strings":["LinkedIn Inc., Sunnyvale, CA, USA"],"affiliations":[{"raw_affiliation_string":"LinkedIn Inc., Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I1316064682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074402693","display_name":"Borja Ocejo","orcid":"https://orcid.org/0000-0001-6706-9940"},"institutions":[{"id":"https://openalex.org/I1316064682","display_name":"LinkedIn (United States)","ror":"https://ror.org/02fyxhe35","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I1316064682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Borja Ocejo","raw_affiliation_strings":["LinkedIn Inc., Sunnyvale, CA, USA"],"affiliations":[{"raw_affiliation_string":"LinkedIn Inc., Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I1316064682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078166693","display_name":"Kinjal Basu","orcid":"https://orcid.org/0000-0002-4091-0119"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kinjal Basu","raw_affiliation_strings":["Aliveo AI, Austin, TX, USA"],"affiliations":[{"raw_affiliation_string":"Aliveo AI, Austin, TX, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026282725","display_name":"Keerthi Selvaraj","orcid":null},"institutions":[{"id":"https://openalex.org/I1316064682","display_name":"LinkedIn (United States)","ror":"https://ror.org/02fyxhe35","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I1316064682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Keerthi Selvaraj","raw_affiliation_strings":["LinkedIn Inc., Sunnyvale, CA, USA"],"affiliations":[{"raw_affiliation_string":"LinkedIn Inc., Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I1316064682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001765231","display_name":"Rahul Mazumder","orcid":"https://orcid.org/0000-0003-4285-7400"},"institutions":[{"id":"https://openalex.org/I1316064682","display_name":"LinkedIn (United States)","ror":"https://ror.org/02fyxhe35","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I1316064682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rahul Mazumder","raw_affiliation_strings":["LinkedIn Inc. (MIT), Sunnyvale (Cambridge), USA"],"affiliations":[{"raw_affiliation_string":"LinkedIn Inc. (MIT), Sunnyvale (Cambridge), USA","institution_ids":["https://openalex.org/I1316064682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090079907","display_name":"Aman Gupta","orcid":"https://orcid.org/0009-0007-6620-841X"},"institutions":[{"id":"https://openalex.org/I1316064682","display_name":"LinkedIn (United States)","ror":"https://ror.org/02fyxhe35","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I1316064682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aman Gupta","raw_affiliation_strings":["LinkedIn Inc., Sunnyvale, CA, USA"],"affiliations":[{"raw_affiliation_string":"LinkedIn Inc., Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I1316064682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075956031","display_name":"Parag Agrawal","orcid":"https://orcid.org/0009-0005-0759-8484"},"institutions":[{"id":"https://openalex.org/I1316064682","display_name":"LinkedIn (United States)","ror":"https://ror.org/02fyxhe35","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I1316064682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Parag Agrawal","raw_affiliation_strings":["LinkedIn Inc., Sunnyvale, CA, USA"],"affiliations":[{"raw_affiliation_string":"LinkedIn Inc., Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I1316064682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5089076618"],"corresponding_institution_ids":["https://openalex.org/I1316064682"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13834204,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9929999709129333,"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/T10609","display_name":"Digital Marketing and Social Media","score":0.992900013923645,"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/computer-science","display_name":"Computer science","score":0.7911151647567749},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7726476192474365},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5252646803855896},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5204739570617676},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5148941278457642},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5071957111358643},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4661511182785034},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.45124316215515137},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3492184281349182},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3368074297904968},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2338637113571167},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14141464233398438},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.12080416083335876}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7911151647567749},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7726476192474365},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5252646803855896},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5204739570617676},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5148941278457642},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5071957111358643},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4661511182785034},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.45124316215515137},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3492184281349182},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3368074297904968},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2338637113571167},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14141464233398438},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.12080416083335876},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3583780.3615000","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3615000","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:dspace.mit.edu:1721.1/152628","is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/152628","pdf_url":"https://dspace.mit.edu/bitstream/1721.1/152628/1/3583780.3615000.pdf","source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Association for Computing Machinery","raw_type":"http://purl.org/eprint/type/ConferencePaper"}],"best_oa_location":{"id":"pmh:oai:dspace.mit.edu:1721.1/152628","is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/152628","pdf_url":"https://dspace.mit.edu/bitstream/1721.1/152628/1/3583780.3615000.pdf","source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Association for Computing Machinery","raw_type":"http://purl.org/eprint/type/ConferencePaper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387846232.pdf","grobid_xml":"https://content.openalex.org/works/W4387846232.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W169198699","https://openalex.org/W1516659296","https://openalex.org/W1974360117","https://openalex.org/W2000359198","https://openalex.org/W2016990965","https://openalex.org/W2147453867","https://openalex.org/W2896670212","https://openalex.org/W3150893739","https://openalex.org/W4205621617","https://openalex.org/W4221141443","https://openalex.org/W4241368925"],"related_works":["https://openalex.org/W2770234245","https://openalex.org/W96612179","https://openalex.org/W4229499248","https://openalex.org/W2566006169","https://openalex.org/W1567818861","https://openalex.org/W2987774938","https://openalex.org/W4256492088","https://openalex.org/W4390273403","https://openalex.org/W632915154","https://openalex.org/W2055733372"],"abstract_inverted_index":{"Social":[0],"networks":[1],"are":[2,31],"prosperous":[3],"marketplaces":[4],"where":[5],"creators":[6],"and":[7,12,28,30,65,109,116,128,172,176,218,222,232,245],"consumers":[8],"congregate":[9],"to":[10,33,39,61,93,106,134,138,242],"share":[11],"consume":[13],"various":[14],"content.":[15],"In":[16,67],"general,":[17],"products":[18],"that":[19,122],"rank":[20],"content":[21],"for":[22,89],"distribution":[23],"(such":[24,36],"as":[25,37,140,162],"newsfeeds,":[26],"stories,":[27],"notifications)":[29],"related":[32,241],"edge":[34],"recommendations":[35,102],"connect":[38],"members,":[40],"follow":[41],"celebrities":[42],"or":[43,45],"groups":[44],"hashtags)":[46],"optimize":[47],"the":[48,72,101,107,119,155,160,185,194,200,216,237],"experience":[49,73],"of":[50,74,170,174,188,203,207,220],"active":[51],"users.":[52],"Typically,":[53],"such":[54],"users":[55],"generate":[56],"ample":[57],"interaction":[58],"data":[59],"amenable":[60],"accurate":[62],"model":[63],"training":[64],"prediction.":[66],"contrast,":[68],"we":[69,124,158,214],"prioritize":[70],"enhancing":[71],"inactive":[75],"members":[76,95],"(IMs)":[77],"who":[78],"do":[79],"not":[80],"have":[81],"a":[82,126,145,163],"rich":[83],"connection":[84,98],"network.":[85,99],"We":[86],"formulate":[87,159],"strategies":[88],"recommending":[90],"superior":[91],"edges":[92],"help":[94],"grow":[96],"their":[97,113],"Adapting":[100],"provides":[103],"enormous":[104,156],"value":[105,137],"IMs":[108,139],"can":[110,198],"significantly":[111],"influence":[112],"future":[114],"behaviour":[115],"engagement":[117,244],"with":[118,148,154],"ecosystem.":[120],"To":[121,152],"end,":[123],"propose":[125],"general":[127,201],"scalable":[129],"multi-objective":[130],"optimization":[131,167],"(MOO)":[132],"framework":[133],"provide":[135],"more":[136],"invitation":[141],"recipients":[142],"on":[143],"LinkedIn,":[144],"professional":[146],"network":[147,246],"over":[149],"900M":[150],"members.":[151],"deal":[153],"scale,":[157],"problem":[161,202],"massive":[164],"constrained":[165],"linear":[166],"involving":[168],"billions":[169],"variables":[171],"millions":[173],"constraints":[175],"efficiently":[177],"solve":[178,199],"it":[179],"using":[180],"accelerated":[181],"gradient":[182],"descent,making":[183],"this":[184],"largest":[186],"deployment":[187],"LP-based":[189],"recommender":[190],"systems":[191],"worldwide.":[192],"Furthermore,":[193],"proposed":[195],"MOO":[196],"paradigm":[197],"matching":[204],"different":[205],"types":[206],"entities":[208],"in":[209,226],"an":[210],"m-sided":[211],"marketplace.":[212],"Finally,":[213],"discuss":[215],"challenges":[217],"benefits":[219],"implementing":[221],"ramping":[223],"our":[224,234],"method":[225],"production":[227],"at":[228,230],"scale":[229],"LinkedIn":[231],"report":[233],"findings":[235],"about":[236],"core":[238],"business":[239],"metrics":[240],"users'":[243],"health.":[247]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}