{"id":"https://openalex.org/W4205679244","doi":"https://doi.org/10.1007/s11036-021-01830-5","title":"Deep Learning Based Customer Preferences Analysis in Industry 4.0 Environment","display_name":"Deep Learning Based Customer Preferences Analysis in Industry 4.0 Environment","publication_year":2021,"publication_date":"2021-12-01","ids":{"openalex":"https://openalex.org/W4205679244","doi":"https://doi.org/10.1007/s11036-021-01830-5"},"language":"en","primary_location":{"id":"doi:10.1007/s11036-021-01830-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11036-021-01830-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11036-021-01830-5.pdf","source":{"id":"https://openalex.org/S192894947","display_name":"Mobile Networks and Applications","issn_l":"1383-469X","issn":["1383-469X","1572-8153"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Networks and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11036-021-01830-5.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082944496","display_name":"Qindong Sun","orcid":"https://orcid.org/0000-0003-2019-7886"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]},{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qindong Sun","raw_affiliation_strings":["School of Cyber Science and Engineering, Xi\u2019an Jiaotong University, 710049, Xi\u2019an, China","Shaanxi Key Laboratory of Network Computing and Security, Xi\u2019an University of Technology, 710048, Xi\u2019an, China","School of Cyber Science and Engineering, Xi'an Jiaotong University, 710049, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Xi\u2019an Jiaotong University, 710049, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Shaanxi Key Laboratory of Network Computing and Security, Xi\u2019an University of Technology, 710048, Xi\u2019an, China","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"School of Cyber Science and Engineering, Xi'an Jiaotong University, 710049, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026104847","display_name":"Xingyu Feng","orcid":"https://orcid.org/0000-0002-2152-8483"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingyu Feng","raw_affiliation_strings":["Shaanxi Key Laboratory of Network Computing and Security, Xi\u2019an University of Technology, 710048, Xi\u2019an, China","Shaanxi Key Laboratory of Network Computing and Security, Xi'an University of Technology, 710048, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Network Computing and Security, Xi\u2019an University of Technology, 710048, Xi\u2019an, China","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"Shaanxi Key Laboratory of Network Computing and Security, Xi'an University of Technology, 710048, Xi'an, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069429555","display_name":"Shanshan Zhao","orcid":"https://orcid.org/0000-0002-6683-3502"},"institutions":[{"id":"https://openalex.org/I178535277","display_name":"University of the West of England","ror":"https://ror.org/02nwg5t34","country_code":"GB","type":"education","lineage":["https://openalex.org/I178535277"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Shanshan Zhao","raw_affiliation_strings":["University of the West of England, Bristol, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of the West of England, Bristol, UK","institution_ids":["https://openalex.org/I178535277"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101675727","display_name":"Han Cao","orcid":"https://orcid.org/0000-0001-6713-7456"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Cao","raw_affiliation_strings":["Shaanxi Key Laboratory of Network Computing and Security, Xi\u2019an University of Technology, 710048, Xi\u2019an, China","Shaanxi Key Laboratory of Network Computing and Security, Xi'an University of Technology, 710048, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Network Computing and Security, Xi\u2019an University of Technology, 710048, Xi\u2019an, China","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"Shaanxi Key Laboratory of Network Computing and Security, Xi'an University of Technology, 710048, Xi'an, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112604661","display_name":"Shancang Li","orcid":"https://orcid.org/0000-0001-5663-7420"},"institutions":[{"id":"https://openalex.org/I178535277","display_name":"University of the West of England","ror":"https://ror.org/02nwg5t34","country_code":"GB","type":"education","lineage":["https://openalex.org/I178535277"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shancang Li","raw_affiliation_strings":["University of the West of England, Bristol, UK"],"raw_orcid":"https://orcid.org/0000-0001-5663-7420","affiliations":[{"raw_affiliation_string":"University of the West of England, Bristol, UK","institution_ids":["https://openalex.org/I178535277"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083023069","display_name":"Yufeng Yao","orcid":"https://orcid.org/0000-0003-3902-4045"},"institutions":[{"id":"https://openalex.org/I178535277","display_name":"University of the West of England","ror":"https://ror.org/02nwg5t34","country_code":"GB","type":"education","lineage":["https://openalex.org/I178535277"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yufeng Yao","raw_affiliation_strings":["University of the West of England, Bristol, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of the West of England, Bristol, UK","institution_ids":["https://openalex.org/I178535277"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5069429555"],"corresponding_institution_ids":["https://openalex.org/I178535277"],"apc_list":null,"apc_paid":null,"fwci":0.729,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.69989769,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"26","issue":"6","first_page":"2329","last_page":"2340"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9916999936103821,"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/T12384","display_name":"Customer churn and segmentation","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8363648653030396},{"id":"https://openalex.org/keywords/demand-forecasting","display_name":"Demand forecasting","score":0.5843793153762817},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5755118131637573},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5323584079742432},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.527353823184967},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.518846869468689},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.5174368023872375},{"id":"https://openalex.org/keywords/autoregressive\u2013moving-average-model","display_name":"Autoregressive\u2013moving-average model","score":0.48236435651779175},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4625313878059387},{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.4621565639972687},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4526429772377014},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.42283231019973755},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.42006003856658936},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.3720186948776245},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3305940330028534},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.27636390924453735},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23710587620735168},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17184287309646606},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.09606853127479553}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8363648653030396},{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.5843793153762817},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5755118131637573},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5323584079742432},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.527353823184967},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.518846869468689},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.5174368023872375},{"id":"https://openalex.org/C74883015","wikidata":"https://www.wikidata.org/wiki/Q290467","display_name":"Autoregressive\u2013moving-average model","level":3,"score":0.48236435651779175},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4625313878059387},{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.4621565639972687},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4526429772377014},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.42283231019973755},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.42006003856658936},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.3720186948776245},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3305940330028534},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.27636390924453735},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23710587620735168},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17184287309646606},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.09606853127479553},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"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":1,"locations":[{"id":"doi:10.1007/s11036-021-01830-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11036-021-01830-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11036-021-01830-5.pdf","source":{"id":"https://openalex.org/S192894947","display_name":"Mobile Networks and Applications","issn_l":"1383-469X","issn":["1383-469X","1572-8153"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Networks and Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11036-021-01830-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11036-021-01830-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11036-021-01830-5.pdf","source":{"id":"https://openalex.org/S192894947","display_name":"Mobile Networks and Applications","issn_l":"1383-469X","issn":["1383-469X","1572-8153"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Networks and Applications","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.47999998927116394,"display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G1180392010","display_name":"\u57fa\u4e8e\u591a\u6e90\u5f02\u8d28\u5927\u6570\u636e\u7684\u533a\u57df\u4eba\u7fa4\u5065\u5eb7\u5f71\u54cd\u56e0\u7d20\u5206\u6790\u4e0e\u6f14\u5316\u89c4\u5f8b\u5efa\u6a21\u7814\u7a76","funder_award_id":"61571360","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2847665306","display_name":null,"funder_award_id":"17JF023","funder_id":"https://openalex.org/F4320325627","funder_display_name":"Education Department of Shaanxi Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320325627","display_name":"Education Department of Shaanxi Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4205679244.pdf","grobid_xml":"https://content.openalex.org/works/W4205679244.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W79613412","https://openalex.org/W1689711448","https://openalex.org/W1895650610","https://openalex.org/W1988920820","https://openalex.org/W2003584736","https://openalex.org/W2012715891","https://openalex.org/W2110485445","https://openalex.org/W2160815625","https://openalex.org/W2206762235","https://openalex.org/W2290581889","https://openalex.org/W2566236551","https://openalex.org/W2573587735","https://openalex.org/W2585503147","https://openalex.org/W2734774145","https://openalex.org/W2743680082","https://openalex.org/W2761561821","https://openalex.org/W2762718731","https://openalex.org/W2767013239","https://openalex.org/W2798664471","https://openalex.org/W2833056938","https://openalex.org/W2919115771","https://openalex.org/W2924534691","https://openalex.org/W2964199361"],"related_works":["https://openalex.org/W199725827","https://openalex.org/W4248896451","https://openalex.org/W3175321409","https://openalex.org/W4239643201","https://openalex.org/W3190289737","https://openalex.org/W4312561791","https://openalex.org/W2389894046","https://openalex.org/W4312990438","https://openalex.org/W2215717369","https://openalex.org/W3115491726"],"abstract_inverted_index":{"Abstract":[0],"Customer":[1],"preferences":[2],"analysis":[3],"and":[4,36,64,77,100,142,148,172],"modelling":[5],"using":[6],"deep":[7,58],"learning":[8,59],"in":[9,47,90,169],"edge":[10],"computing":[11],"environment":[12],"are":[13,133],"critical":[14,126],"to":[15,73,98,161],"enhance":[16],"customer":[17],"relationship":[18],"management":[19],"that":[20,122,151],"focus":[21],"on":[22,128],"a":[23,56,85],"dynamically":[24],"changing":[25],"market":[26],"place.":[27],"Existing":[28],"forecasting":[29,67,158],"methods":[30,140],"work":[31],"well":[32,113],"with":[33,44,135,167],"often":[34],"seen":[35],"linear":[37],"demand":[38,157,165],"patterns":[39],"but":[40],"become":[41],"less":[42],"accurate":[43],"intermittent":[45],"demands":[46,66],"the":[48,91,102,109,129,136,152],"catering":[49,71],"industry.":[50],"In":[51],"this":[52],"paper,":[53],"we":[54,106],"introduce":[55],"throughput":[57],"model":[60,146],"for":[61,163],"both":[62],"short-term":[63],"long-term":[65],"aimed":[68],"at":[69],"allowing":[70],"businesses":[72],"be":[74],"highly":[75],"efficient":[76],"avoid":[78],"wastage.":[79],"Moreover,":[80],"detailed":[81],"data":[82],"collected":[83],"from":[84],"business":[86],"online":[87],"booking":[88],"system":[89],"past":[92,115],"three":[93],"years":[94],"have":[95,124],"been":[96],"used":[97],"train":[99],"verify":[101],"proposed":[103,153],"model.":[104],"Meanwhile,":[105],"carefully":[107],"analyzed":[108],"seasonal":[110],"conditions":[111],"as":[112,114],"local":[116],"or":[117],"national":[118],"events":[119],"(event":[120],"analysis)":[121],"could":[123],"had":[125],"impact":[127],"sales.":[130],"The":[131],"results":[132],"compared":[134],"best":[137],"performing":[138],"forecast":[139],"Xgboost":[141],"autoregressive":[143],"moving":[144],"average":[145],"(ARMA),":[147],"they":[149],"suggest":[150],"method":[154],"significantly":[155],"improves":[156],"accuracy":[159],"(up":[160],"80%)":[162],"dishes":[164],"along":[166],"reduction":[168],"associated":[170],"costs":[171],"labor":[173],"allocation.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}
