{"id":"https://openalex.org/W3006625545","doi":"https://doi.org/10.1109/tbdata.2020.2973141","title":"Large-scale and Scalable Latent Factor Analysis via Distributed Alternative Stochastic Gradient Descent for Recommender Systems","display_name":"Large-scale and Scalable Latent Factor Analysis via Distributed Alternative Stochastic Gradient Descent for Recommender Systems","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3006625545","doi":"https://doi.org/10.1109/tbdata.2020.2973141","mag":"3006625545"},"language":"en","primary_location":{"id":"doi:10.1109/tbdata.2020.2973141","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2020.2973141","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Big Data","raw_type":"journal-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/A5100662669","display_name":"Xiaoyu Shi","orcid":"https://orcid.org/0000-0002-4267-7795"},"institutions":[{"id":"https://openalex.org/I4210123021","display_name":"Chongqing Institute of Green and Intelligent Technology","ror":"https://ror.org/031npqv35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210123021"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Shi","raw_affiliation_strings":["Chongqing Engineering Research Center of Big Data Application for Smart Cities, and Chongqing Key Laboratory of Big Data and Intelligent Computing, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing Engineering Research Center of Big Data Application for Smart Cities, and Chongqing Key Laboratory of Big Data and Intelligent Computing, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China","institution_ids":["https://openalex.org/I4210123021"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023499987","display_name":"Qiang He","orcid":"https://orcid.org/0000-0002-2607-4556"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Qiang He","raw_affiliation_strings":["School of Software and Electrical Engineering, Swinburne University of Technology, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software and Electrical Engineering, Swinburne University of Technology, Melbourne, Australia","institution_ids":["https://openalex.org/I57093077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088955392","display_name":"Xin Luo","orcid":"https://orcid.org/0000-0002-1348-5305"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]},{"id":"https://openalex.org/I4210123021","display_name":"Chongqing Institute of Green and Intelligent Technology","ror":"https://ror.org/031npqv35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210123021"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Xin Luo","raw_affiliation_strings":["Chongqing Engineering Research Center of Big Data Application for Smart Cities, and Chongqing Key Laboratory of Big Data and Intelligent Computing, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China","Department of Big Data Analyses Techniques, Hengrui (Chongqing) Artificial Intelligence Research Center, Cloudwalk, Chongqing, China","Department of Computing, Hong Kong Polytechnic University, Kowloon, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing Engineering Research Center of Big Data Application for Smart Cities, and Chongqing Key Laboratory of Big Data and Intelligent Computing, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China","institution_ids":["https://openalex.org/I4210123021"]},{"raw_affiliation_string":"Department of Big Data Analyses Techniques, Hengrui (Chongqing) Artificial Intelligence Research Center, Cloudwalk, Chongqing, China","institution_ids":[]},{"raw_affiliation_string":"Department of Computing, Hong Kong Polytechnic University, Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055266646","display_name":"Yannai Bai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210123021","display_name":"Chongqing Institute of Green and Intelligent Technology","ror":"https://ror.org/031npqv35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210123021"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yannai Bai","raw_affiliation_strings":["Chongqing Engineering Research Center of Big Data Application for Smart Cities, and Chongqing Key Laboratory of Big Data and Intelligent Computing, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing Engineering Research Center of Big Data Application for Smart Cities, and Chongqing Key Laboratory of Big Data and Intelligent Computing, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China","institution_ids":["https://openalex.org/I4210123021"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091667639","display_name":"Mingsheng Shang","orcid":"https://orcid.org/0000-0002-7024-2270"},"institutions":[{"id":"https://openalex.org/I4210123021","display_name":"Chongqing Institute of Green and Intelligent Technology","ror":"https://ror.org/031npqv35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210123021"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingsheng Shang","raw_affiliation_strings":["Chongqing Engineering Research Center of Big Data Application for Smart Cities, and Chongqing Key Laboratory of Big Data and Intelligent Computing, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing Engineering Research Center of Big Data Application for Smart Cities, and Chongqing Key Laboratory of Big Data and Intelligent Computing, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China","institution_ids":["https://openalex.org/I4210123021"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":17.9301,"has_fulltext":false,"cited_by_count":87,"citation_normalized_percentile":{"value":0.99131883,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9692999720573425,"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"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.968500018119812,"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/computer-science","display_name":"Computer science","score":0.877190113067627},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.8205699920654297},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.8170068264007568},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.7868916392326355},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5223913788795471},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.4961431920528412},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.4628424346446991},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4575267732143402},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4527069926261902},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.4225746989250183},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.42115142941474915},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3774987757205963},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3652307093143463},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.31066131591796875},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.17346340417861938},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.08539804816246033}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.877190113067627},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8205699920654297},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.8170068264007568},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.7868916392326355},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5223913788795471},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.4961431920528412},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.4628424346446991},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4575267732143402},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4527069926261902},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.4225746989250183},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.42115142941474915},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3774987757205963},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3652307093143463},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31066131591796875},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.17346340417861938},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.08539804816246033},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tbdata.2020.2973141","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2020.2973141","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Big Data","raw_type":"journal-article"},{"id":"pmh:oai:researchbank.swinburne.edu.au:947558a8-64f5-4dfb-9853-5541b9ee73f2/1","is_oa":false,"landing_page_url":"http://hdl.handle.net/1959.3/457512","pdf_url":null,"source":{"id":"https://openalex.org/S4306401157","display_name":"Swinburne figshare (Swinburne University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I57093077","host_organization_name":"Swinburne University of Technology","host_organization_lineage":["https://openalex.org/I57093077"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Big Data (2020), pp. 1-1","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5469466961","display_name":null,"funder_award_id":"91646114","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7141752101","display_name":null,"funder_award_id":"cstc2019jcyjjqX0013","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"},{"id":"https://openalex.org/G7281627748","display_name":null,"funder_award_id":"61602434","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7777850861","display_name":"\u57fa\u4e8e\u9690\u7279\u5f81\u5206\u6790\u7684\u4fe1\u606f\u63a8\u8350\u6280\u672f\u7814\u7a76","funder_award_id":"61772493","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7908663725","display_name":null,"funder_award_id":"61702475","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8586483275","display_name":null,"funder_award_id":"61602434, 61772493, 91646114 and 61702475","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8826958372","display_name":null,"funder_award_id":"2017393","funder_id":"https://openalex.org/F4320335892","funder_display_name":"Youth Innovation Promotion Association"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320323172","display_name":"Natural Science Foundation of Chongqing","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335892","display_name":"Youth Innovation Promotion Association","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W331119053","https://openalex.org/W410850256","https://openalex.org/W1494192115","https://openalex.org/W1509627219","https://openalex.org/W1511814458","https://openalex.org/W1570159982","https://openalex.org/W1971665536","https://openalex.org/W1980147176","https://openalex.org/W1981972832","https://openalex.org/W2020098476","https://openalex.org/W2023781725","https://openalex.org/W2029463952","https://openalex.org/W2033500845","https://openalex.org/W2034466462","https://openalex.org/W2040263621","https://openalex.org/W2040367556","https://openalex.org/W2041022395","https://openalex.org/W2051082454","https://openalex.org/W2054141820","https://openalex.org/W2060731692","https://openalex.org/W2078670469","https://openalex.org/W2089026157","https://openalex.org/W2092602194","https://openalex.org/W2106561995","https://openalex.org/W2111619626","https://openalex.org/W2113802117","https://openalex.org/W2114296561","https://openalex.org/W2119523409","https://openalex.org/W2121966774","https://openalex.org/W2136944193","https://openalex.org/W2143822352","https://openalex.org/W2159094788","https://openalex.org/W2171960770","https://openalex.org/W2241626324","https://openalex.org/W2247013936","https://openalex.org/W2278138779","https://openalex.org/W2319598986","https://openalex.org/W2331870320","https://openalex.org/W2341865734","https://openalex.org/W2433963325","https://openalex.org/W2482213519","https://openalex.org/W2518990988","https://openalex.org/W2562873761","https://openalex.org/W2583908852","https://openalex.org/W2587697323","https://openalex.org/W2602948783","https://openalex.org/W2639715790","https://openalex.org/W2642043218","https://openalex.org/W2735318356","https://openalex.org/W2777333837","https://openalex.org/W2887183215","https://openalex.org/W4230962320","https://openalex.org/W6614148910","https://openalex.org/W6662929504","https://openalex.org/W6684249991","https://openalex.org/W6763775535","https://openalex.org/W6764309476","https://openalex.org/W7070499600"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W2735929803","https://openalex.org/W4220714703","https://openalex.org/W1484355083","https://openalex.org/W3008845055","https://openalex.org/W2098758514","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W2508671622","https://openalex.org/W2556532874"],"abstract_inverted_index":{"Latent":[0],"factor":[1],"analysis":[2],"(LFA)":[3],"via":[4,106],"stochastic":[5,90],"gradient":[6,91],"descent":[7,92],"(SGD)":[8],"is":[9,184],"highly":[10,185],"efficient":[11,131],"in":[12,76,124,173],"discovering":[13],"user":[14],"and":[15,20,135],"item":[16],"patterns":[17],"from":[18,24],"high-dimensional":[19],"sparse":[21],"(HiDS)":[22],"matrices":[23,154,195],"recommender":[25,30,171],"systems.":[26,78],"However,":[27],"most":[28,49],"LFA-based":[29,97,189],"systems":[31,172],"adopt":[32],"a":[33,62,87],"standard":[34],"SGD":[35,52,122,168],"algorithm,":[36],"which":[37,70,139],"suffers":[38],"limited":[39],"scalability":[40],"when":[41],"addressing":[42],"big":[43],"data.":[44],"On":[45],"the":[46,57,81,111,115,119,161,197],"other":[47,116],"hand,":[48],"existing":[50],"parallel":[51],"solvers":[53,169],"are":[54,104],"either":[55],"under":[56],"memory-sharing":[58],"framework":[59],"designed":[60],"for":[61,95,145,170,187],"bare":[63],"machine":[64],"or":[65],"suffering":[66],"high":[67,146],"communicational":[68,143],"costs,":[69],"also":[71],"greatly":[72,140],"limits":[73],"their":[74],"applications":[75,158],"large-scale":[77,152],"To":[79],"address":[80],"above":[82],"issues,":[83],"this":[84],"article":[85],"proposes":[86],"distributed":[88,167],"alternative":[89],"(DASGD)":[93],"solver":[94],"an":[96],"recommender.":[98],"Its":[99],"training-dependences":[100],"among":[101],"latent":[102],"features":[103,112],"decoupled":[105],"alternatively":[107],"fixing":[108],"one-half":[109],"of":[110,121,130,175,199],"to":[113],"learn":[114],"half":[117],"following":[118],"principle":[120],"but":[123],"parallel.":[125],"It's":[126],"distribution":[127],"mechanism":[128],"consists":[129],"data":[132],"partition,":[133],"allocation":[134],"task":[136],"parallelization":[137],"strategies,":[138],"reduces":[141],"its":[142],"cost":[144],"scalability.":[147,181],"Experimental":[148],"results":[149],"on":[150,191],"three":[151],"HiDS":[153,194],"generated":[155],"by":[156],"real-world":[157],"demonstrate":[159],"that":[160],"proposed":[162],"DASGD":[163],"algorithm":[164],"outperforms":[165],"state-of-the-art":[166],"terms":[174],"prediction":[176],"accuracy":[177],"as":[178,180],"well":[179],"Hence,":[182],"it":[183],"useful":[186],"training":[188],"recommenders":[190],"large":[192],"scale":[193],"with":[196],"help":[198],"cloud":[200],"computing":[201],"facilities.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":30},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":7}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}