{"id":"https://openalex.org/W2038559942","doi":"https://doi.org/10.1145/2661829.2661996","title":"Distributed Stochastic ADMM for Matrix Factorization","display_name":"Distributed Stochastic ADMM for Matrix Factorization","publication_year":2014,"publication_date":"2014-11-03","ids":{"openalex":"https://openalex.org/W2038559942","doi":"https://doi.org/10.1145/2661829.2661996","mag":"2038559942"},"language":"en","primary_location":{"id":"doi:10.1145/2661829.2661996","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2661829.2661996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management","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/A5086528242","display_name":"Zhi-Qin Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhi-Qin Yu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China","[Shanghai Jiao Tong University, Shanghai, China]"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"[Shanghai Jiao Tong University, Shanghai, China]","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091515481","display_name":"Xingjian Shi","orcid":"https://orcid.org/0000-0002-2700-7742"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xing-Jian Shi","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102325677","display_name":"Ling Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Yan","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China","[Shanghai Jiao Tong University, Shanghai, China]"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"[Shanghai Jiao Tong University, Shanghai, China]","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101402002","display_name":"Wu-Jun Li","orcid":"https://orcid.org/0000-0003-2499-4006"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wu-Jun Li","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5086528242"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":9.68334681,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.97569599,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1259","last_page":"1268"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9950000047683716,"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":0.9950000047683716,"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/T10057","display_name":"Face and Expression Recognition","score":0.9947999715805054,"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"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9793999791145325,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.8536884784698486},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5940244793891907},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.5566782355308533},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5371464490890503},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.5062693357467651},{"id":"https://openalex.org/keywords/distributed-algorithm","display_name":"Distributed algorithm","score":0.500340461730957},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.484466552734375},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4556782841682434},{"id":"https://openalex.org/keywords/distributed-database","display_name":"Distributed database","score":0.4410468339920044},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.40440088510513306},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3990756869316101},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.25312340259552},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.22736361622810364},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0830385684967041}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8536884784698486},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5940244793891907},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.5566782355308533},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5371464490890503},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.5062693357467651},{"id":"https://openalex.org/C130120984","wikidata":"https://www.wikidata.org/wiki/Q2835898","display_name":"Distributed algorithm","level":2,"score":0.500340461730957},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.484466552734375},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4556782841682434},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.4410468339920044},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.40440088510513306},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3990756869316101},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25312340259552},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.22736361622810364},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0830385684967041},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2661829.2661996","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2661829.2661996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-71336","is_oa":false,"landing_page_url":"http://www.scopus.com/record/display.url?eid=2-s2.0-84937605005&origin=inward","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G1552395088","display_name":null,"funder_award_id":"61100125","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1641252850","display_name":null,"funder_award_id":"61472182","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2211159950","display_name":null,"funder_award_id":"2012AA011003","funder_id":"https://openalex.org/F4320321540","funder_display_name":"Ministry of Science and Technology of the People's Republic of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321540","display_name":"Ministry of Science and Technology of the People's Republic of China","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W25321933","https://openalex.org/W120259676","https://openalex.org/W189086490","https://openalex.org/W1511814458","https://openalex.org/W1544449255","https://openalex.org/W1682176785","https://openalex.org/W1980147176","https://openalex.org/W2006022852","https://openalex.org/W2010286849","https://openalex.org/W2020098476","https://openalex.org/W2026969803","https://openalex.org/W2037820773","https://openalex.org/W2054141820","https://openalex.org/W2063468305","https://openalex.org/W2065030431","https://openalex.org/W2092349685","https://openalex.org/W2112284959","https://openalex.org/W2123154536","https://openalex.org/W2135790056","https://openalex.org/W2138243089","https://openalex.org/W2142058898","https://openalex.org/W2164278908","https://openalex.org/W2166706236","https://openalex.org/W2510516734","https://openalex.org/W2949483514","https://openalex.org/W2949976336","https://openalex.org/W2951781666","https://openalex.org/W2964064266","https://openalex.org/W4292363360","https://openalex.org/W4376490313","https://openalex.org/W6633789451","https://openalex.org/W6684249991"],"related_works":["https://openalex.org/W2127243424","https://openalex.org/W4390394189","https://openalex.org/W2037504162","https://openalex.org/W2539013788","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2156699640","https://openalex.org/W2045265907","https://openalex.org/W2972997031","https://openalex.org/W2075222291"],"abstract_inverted_index":{"Matrix":[0],"factorization":[1],"(MF)":[2],"has":[3],"become":[4],"the":[5,73,79],"most":[6],"popular":[7],"technique":[8],"for":[9,49,78,89],"recommender":[10],"systems":[11],"due":[12],"to":[13,71],"its":[14],"promising":[15],"performance.":[16],"Recently,":[17],"distributed":[18,41,56,74,127],"(parallel)":[19],"MF":[20,51,75,128],"models":[21,129],"have":[22],"received":[23],"much":[24],"attention":[25],"from":[26,115],"researchers":[27],"of":[28,46,59,132],"big":[29],"data":[30,68,113],"community.":[31],"In":[32,61],"this":[33],"paper,":[34],"we":[35,63,92],"propose":[36],"a":[37,55,66,83],"novel":[38],"model,":[39],"called":[40],"stochastic":[42,57,84],"alternating":[43],"direction":[44],"methods":[45],"multipliers":[47],"(DS-ADMM),":[48],"large-scale":[50],"problems.":[52],"DS-ADMM":[53,94,121],"is":[54,87],"variant":[58],"ADMM.":[60],"particular,":[62],"first":[64],"devise":[65],"new":[67],"split":[69],"strategy":[70],"make":[72],"problem":[76],"fit":[77],"ADMM":[80,85],"framework.":[81],"Then,":[82],"scheme":[86],"designed":[88],"learning.":[90],"Finally,":[91],"implement":[93],"based":[95],"on":[96,104,111],"message":[97],"passing":[98],"interface":[99],"(MPI),":[100],"which":[101],"can":[102,123],"run":[103],"clusters":[105],"with":[106],"multiple":[107],"machines":[108],"(nodes).":[109],"Experiments":[110],"several":[112],"sets":[114],"recommendation":[116],"applications":[117],"show":[118],"that":[119],"our":[120],"model":[122],"outperform":[124],"other":[125],"state-of-the-art":[126],"in":[130],"terms":[131],"both":[133],"efficiency":[134],"and":[135],"accuracy.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":2}],"updated_date":"2026-02-23T08:04:50.183275","created_date":"2025-10-10T00:00:00"}
