{"id":"https://openalex.org/W4296604407","doi":"https://doi.org/10.1145/3523227.3551468","title":"Building and Deploying a Multi-Stage Recommender System with Merlin","display_name":"Building and Deploying a Multi-Stage Recommender System with Merlin","publication_year":2022,"publication_date":"2022-09-13","ids":{"openalex":"https://openalex.org/W4296604407","doi":"https://doi.org/10.1145/3523227.3551468"},"language":"en","primary_location":{"id":"doi:10.1145/3523227.3551468","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3523227.3551468","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/A5062621630","display_name":"Karl Higley","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Karl Higley","raw_affiliation_strings":["NVIDIA, United States"],"affiliations":[{"raw_affiliation_string":"NVIDIA, United States","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023954126","display_name":"Even Oldridge","orcid":"https://orcid.org/0009-0002-1990-0941"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Even Oldridge","raw_affiliation_strings":["NVIDIA, Canada"],"affiliations":[{"raw_affiliation_string":"NVIDIA, Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110359515","display_name":"Ronay Ak","orcid":"https://orcid.org/0000-0003-2768-6535"},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ronay Ak","raw_affiliation_strings":["NVIDIA, United States"],"affiliations":[{"raw_affiliation_string":"NVIDIA, United States","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038662752","display_name":"Sara Rabhi","orcid":"https://orcid.org/0000-0003-4014-9152"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sara Rabhi","raw_affiliation_strings":["NVIDIA, Canada"],"affiliations":[{"raw_affiliation_string":"NVIDIA, Canada","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054449710","display_name":"Gabriel de Souza Pereira Moreira","orcid":"https://orcid.org/0000-0002-9745-5014"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gabriel de Souza Pereira Moreira","raw_affiliation_strings":["NVIDIA, Brazil"],"affiliations":[{"raw_affiliation_string":"NVIDIA, Brazil","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5062621630"],"corresponding_institution_ids":["https://openalex.org/I4210127875"],"apc_list":null,"apc_paid":null,"fwci":3.0315,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.92725618,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"632","last_page":"635"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9929999709129333,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.925413966178894},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8683325052261353},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.7106028199195862},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5730795860290527},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5104464292526245},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.4215376377105713}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.925413966178894},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8683325052261353},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7106028199195862},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5730795860290527},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5104464292526245},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.4215376377105713},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3523227.3551468","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3523227.3551468","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":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2512971201","https://openalex.org/W2593507512","https://openalex.org/W2968643212","https://openalex.org/W2998702515"],"related_works":["https://openalex.org/W2348159088","https://openalex.org/W2402445420","https://openalex.org/W1773619406","https://openalex.org/W2377968345","https://openalex.org/W3127021106","https://openalex.org/W2075040002","https://openalex.org/W2573253449","https://openalex.org/W2126026531","https://openalex.org/W2977378428","https://openalex.org/W7602594"],"abstract_inverted_index":{"Newcomers":[0],"to":[1,8,26,161,184,210],"recommender":[2,46,57,67,80,98,109,159,216],"systems":[3,16,58],"often":[4],"face":[5],"challenges":[6],"related":[7,25],"their":[9],"lack":[10],"of":[11,13,72,124,137,173],"understanding":[12],"how":[14,206],"these":[15],"operate":[17],"in":[18,165],"real":[19],"life.":[20],"In":[21,91,176,200],"most":[22],"online":[23],"content":[24],"this":[27,92],"topic,":[28],"the":[29,41,45,61,96,135,153,166,171,174,177,180,202,220],"focus":[30],"is":[31,209],"on":[32,40,140,170],"models":[33],"and":[34,78,86,212],"algorithms":[35],"that":[36,59,119],"score":[37,162],"items":[38,126,138],"based":[39,139,169],"user\u2019s":[42],"preferences.":[43],"However,":[44],"model":[47,160],"alone":[48],"does":[49],"not":[50],"comprise":[51],"everything":[52],"needed":[53],"for":[54,89,107,127,152],"serving":[55],"optimized":[56],"meet":[60],"company\u2019s":[62],"business":[63,87,141,193],"objectives.":[64],"An":[65],"industry-standard":[66],"system":[68,217],"involves":[69],"a":[70,121,158,186,214],"number":[71],"steps,":[73],"including":[74],"data":[75],"preprocessing,":[76],"defining":[77],"training":[79],"models,":[81],"as":[82,84,144,198],"well":[83],"filtering":[85,130],"logic":[88,142],"serving.":[90],"work,":[93],"we":[94,104],"propose":[95],"four-stage":[97,112,215],"system,":[99],"an":[100,115],"industry-wide":[101],"design":[102],"pattern":[103],"have":[105],"identified":[106],"production":[108],"systems.":[110],"The":[111,129],"pipeline":[113,218],"includes":[114],"item":[116,164],"retrieval":[117],"step":[118],"prepares":[120],"small":[122],"subset":[123,136],"relevant":[125],"scoring.":[128],"stage":[131],"then":[132],"cleans":[133],"up":[134],"such":[143,197],"removing":[145],"out-of-stock":[146],"or":[147,195],"previously":[148],"seen":[149],"items.":[150],"As":[151],"ranking":[154],"component,":[155],"it":[156,208],"uses":[157],"each":[163],"presented":[167,203],"list":[168,189],"preferences":[172],"user.":[175],"final":[178,187],"step,":[179],"scores":[181],"are":[182],"re-ordered":[183],"provide":[185],"recommendation":[188],"aligned":[190],"with":[191],"other":[192],"needs":[194],"constraints":[196],"diversity.":[199],"particular,":[201],"demo":[204],"demonstrates":[205],"easy":[207],"build":[211],"deploy":[213],"using":[219],"NVIDIA":[221],"Merlin":[222],"open-source":[223],"framework.":[224]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
