{"id":"https://openalex.org/W4385567751","doi":"https://doi.org/10.1145/3580305.3599183","title":"Practical Design of Performant Recommender Systems using Large-scale Linear Programming-based Global Inference","display_name":"Practical Design of Performant Recommender Systems using Large-scale Linear Programming-based Global Inference","publication_year":2023,"publication_date":"2023-08-04","ids":{"openalex":"https://openalex.org/W4385567751","doi":"https://doi.org/10.1145/3580305.3599183"},"language":"en","primary_location":{"id":"doi:10.1145/3580305.3599183","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599183","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","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/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":true,"raw_author_name":"Aman Gupta","raw_affiliation_strings":["LinkedIn, Sunnyvale, CA, USA"],"raw_orcid":"https://orcid.org/0009-0007-6620-841X","affiliations":[{"raw_affiliation_string":"LinkedIn, Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I1316064682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112974216","display_name":"S. Sathiya Keerthi","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":"S. Sathiya Keerthi","raw_affiliation_strings":["LinkedIn, Sunnyvale, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-6065-1732","affiliations":[{"raw_affiliation_string":"LinkedIn, Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I1316064682"]}]},{"author_position":"middle","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":false,"raw_author_name":"Ayan Acharya","raw_affiliation_strings":["LinkedIn, Sunnyvale, CA, USA"],"raw_orcid":"https://orcid.org/0000-0003-3023-4337","affiliations":[{"raw_affiliation_string":"LinkedIn, Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I1316064682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101837767","display_name":"M. Cheng","orcid":"https://orcid.org/0009-0008-1505-4403"},"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":"Miao Cheng","raw_affiliation_strings":["LinkedIn, Sunnyvale, CA, USA"],"raw_orcid":"https://orcid.org/0009-0008-1505-4403","affiliations":[{"raw_affiliation_string":"LinkedIn, 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 Elizondo","raw_affiliation_strings":["LinkedIn, Sunnyvale, CA, USA"],"raw_orcid":"https://orcid.org/0000-0001-6706-9940","affiliations":[{"raw_affiliation_string":"LinkedIn, Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I1316064682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080799744","display_name":"Rohan Ramanath","orcid":"https://orcid.org/0009-0007-4493-8139"},"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":"Rohan Ramanath","raw_affiliation_strings":["Chico AI & LinkedIn, Sunnyvale, CA, USA"],"raw_orcid":"https://orcid.org/0009-0007-4493-8139","affiliations":[{"raw_affiliation_string":"Chico AI & LinkedIn, 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, Sunnyvale, CA, USA"],"raw_orcid":"https://orcid.org/0000-0003-4285-7400","affiliations":[{"raw_affiliation_string":"LinkedIn, 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":[{"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":"Kinjal Basu","raw_affiliation_strings":["Aliveo AI & LinkedIn, Sunnyvale, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-4091-0119","affiliations":[{"raw_affiliation_string":"Aliveo AI & LinkedIn, Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I1316064682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031734050","display_name":"J. Kenneth Tay","orcid":"https://orcid.org/0000-0003-3046-1820"},"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":"J. Kenneth Tay","raw_affiliation_strings":["LinkedIn, Sunnyvale, CA, USA"],"raw_orcid":"https://orcid.org/0000-0003-3046-1820","affiliations":[{"raw_affiliation_string":"LinkedIn, Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I1316064682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102862512","display_name":"Rupesh Gupta","orcid":"https://orcid.org/0009-0006-4395-1262"},"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":"Rupesh Gupta","raw_affiliation_strings":["LinkedIn, Sunnyvale, CA, USA"],"raw_orcid":"https://orcid.org/0009-0006-4395-1262","affiliations":[{"raw_affiliation_string":"LinkedIn, Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I1316064682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5090079907"],"corresponding_institution_ids":["https://openalex.org/I1316064682"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15681363,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5781","last_page":"5782"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10963","display_name":"Advanced Optimization Algorithms Research","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10963","display_name":"Advanced Optimization Algorithms Research","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9961000084877014,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.8403216600418091},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8064670562744141},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.6136555671691895},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.5873078107833862},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5297471284866333},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.5294263958930969},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4708668291568756},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.42540451884269714},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3811439871788025},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.31794536113739014},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20541012287139893},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17472290992736816},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11328065395355225},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08927366137504578}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8403216600418091},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8064670562744141},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.6136555671691895},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.5873078107833862},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5297471284866333},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.5294263958930969},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4708668291568756},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.42540451884269714},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3811439871788025},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31794536113739014},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20541012287139893},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17472290992736816},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11328065395355225},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08927366137504578},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3580305.3599183","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599183","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:dspace.mit.edu:1721.1/152078","is_oa":false,"landing_page_url":"https://hdl.handle.net/1721.1/152078","pdf_url":null,"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":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1992586477","https://openalex.org/W2131448432","https://openalex.org/W2288174618","https://openalex.org/W2403023124","https://openalex.org/W2735479310","https://openalex.org/W2767453670","https://openalex.org/W2952069421","https://openalex.org/W4248949446","https://openalex.org/W4283812014"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4317039510","https://openalex.org/W4238861846","https://openalex.org/W790944756"],"abstract_inverted_index":{"Several":[0],"key":[1],"problems":[2],"in":[3,53,124,160,176],"web-scale":[4],"recommender":[5,60,169],"systems,":[6,61],"such":[7,30,82],"as":[8,16,31,37],"optimal":[9],"matching":[10],"and":[11,39,56,85,164,174,180],"allocation,":[12],"can":[13,79,114],"be":[14],"formulated":[15],"large-scale":[17,59,168],"linear":[18],"programs":[19],"(LPs)":[20],"[4,":[21],"1].":[22],"These":[23],"LPs":[24,78,89,116],"take":[25],"predictions":[26],"from":[27],"ML":[28],"models":[29],"probabilities":[32],"of":[33,58,65,71,104,117,122,139,152,178],"click,":[34],"like,":[35],"etc.":[36],"inputs":[38],"optimize":[40,81],"recommendations":[41],"made":[42],"to":[43],"users.":[44],"In":[45],"recent":[46],"years,":[47],"there":[48],"has":[49,157],"been":[50,158],"an":[51],"explosion":[52],"the":[54,69,93,102,140,149,153],"research":[55],"development":[57],"but":[62],"effective":[63],"optimization":[64],"business":[66,83],"objectives":[67],"using":[68],"output":[70],"those":[72],"systems":[73],"remains":[74],"a":[75,125,131,137],"challenge.":[76],"Although":[77],"help":[80],"objectives,":[84],"algorithms":[86,112,147],"for":[87],"solving":[88],"have":[90,110],"existed":[91],"since":[92],"1950s":[94],"[5,":[95],"8],":[96],"generic":[97],"LP":[98,141],"solvers":[99],"cannot":[100],"handle":[101],"scale":[103,144],"these":[105],"problems.":[106],"At":[107],"LinkedIn,":[108],"we":[109],"developed":[111],"that":[113,135],"solve":[115],"various":[118],"forms":[119],"with":[120],"trillions":[121],"variables":[123],"Spark-based":[126],"library":[127],"called":[128],"\"DuaLip\"":[129],"[7],":[130],"novel":[132],"distributed":[133],"solver":[134],"solves":[136],"perturbation":[138],"problem":[142],"at":[143,162],"via":[145],"gradient-based":[146],"on":[148],"smooth":[150],"dual":[151],"perturbed":[154],"LP.":[155],"DuaLip":[156,171],"deployed":[159],"production":[161],"LinkedIn":[163],"powers":[165],"several":[166],"very":[167],"systems.":[170],"is":[172],"open-sourced":[173],"extensible":[175],"terms":[177],"features":[179],"algorithms.":[181]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}