{"id":"https://openalex.org/W4392954011","doi":"https://doi.org/10.1080/08839514.2024.2327867","title":"Optimized Attention Enhanced Temporal Graph Convolutional Network Espoused Research of Intelligent Customer Service System based on Natural Language Processing Technology","display_name":"Optimized Attention Enhanced Temporal Graph Convolutional Network Espoused Research of Intelligent Customer Service System based on Natural Language Processing Technology","publication_year":2024,"publication_date":"2024-03-19","ids":{"openalex":"https://openalex.org/W4392954011","doi":"https://doi.org/10.1080/08839514.2024.2327867"},"language":"en","primary_location":{"id":"doi:10.1080/08839514.2024.2327867","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2024.2327867","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2327867?download=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2327867?download=true","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101320101","display_name":"Zhifeng Wei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhifeng Wei","raw_affiliation_strings":["Beijing Sgitg Accenture Information Technology Center Co.Ltd, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Sgitg Accenture Information Technology Center Co.Ltd, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100359680","display_name":"Hongyan Wang","orcid":"https://orcid.org/0000-0003-3755-9599"},"institutions":[{"id":"https://openalex.org/I4210120238","display_name":"PowerChina (China)","ror":"https://ror.org/01varr368","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210120238"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyan Wang","raw_affiliation_strings":["Beijing China-Power Information Technology Co.Ltd, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing China-Power Information Technology Co.Ltd, Beijing, China","institution_ids":["https://openalex.org/I4210120238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088556682","display_name":"Qiang Xu","orcid":"https://orcid.org/0000-0001-6747-126X"},"institutions":[{"id":"https://openalex.org/I4210120238","display_name":"PowerChina (China)","ror":"https://ror.org/01varr368","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210120238"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiang Xu","raw_affiliation_strings":["Beijing China-Power Information Technology Co.Ltd, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing China-Power Information Technology Co.Ltd, Beijing, China","institution_ids":["https://openalex.org/I4210120238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089527913","display_name":"Yi Qu","orcid":"https://orcid.org/0000-0002-6353-0741"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi Qu","raw_affiliation_strings":["State Grid Customer Service Centre, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"State Grid Customer Service Centre, Tianjin, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040886197","display_name":"Xing Wei","orcid":"https://orcid.org/0000-0002-5025-3941"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Xing","raw_affiliation_strings":["State Grid Customer Service Centre, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"State Grid Customer Service Centre, Tianjin, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5088556682"],"corresponding_institution_ids":["https://openalex.org/I4210120238"],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":{"value":2195,"currency":"USD","value_usd":2195},"fwci":1.3629,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.83227608,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"38","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11114","display_name":"Service and Product Innovation","score":0.9728999733924866,"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"}},"topics":[{"id":"https://openalex.org/T11114","display_name":"Service and Product Innovation","score":0.9728999733924866,"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"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9028000235557556,"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/computer-science","display_name":"Computer science","score":0.9097051620483398},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5683413743972778},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.4287378489971161},{"id":"https://openalex.org/keywords/natural-language-understanding","display_name":"Natural language understanding","score":0.4242144525051117},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.3560466468334198},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35317152738571167},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.15499672293663025}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9097051620483398},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5683413743972778},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.4287378489971161},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.4242144525051117},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.3560466468334198},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35317152738571167},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.15499672293663025},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/08839514.2024.2327867","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2024.2327867","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2327867?download=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3d9444e6eeec40f2820f904c8f7d187d","is_oa":true,"landing_page_url":"https://doaj.org/article/3d9444e6eeec40f2820f904c8f7d187d","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Artificial Intelligence, Vol 38, Iss 1 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/08839514.2024.2327867","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2024.2327867","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2327867?download=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392954011.pdf","grobid_xml":"https://content.openalex.org/works/W4392954011.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W3020466245","https://openalex.org/W3034703993","https://openalex.org/W3049305397","https://openalex.org/W3134630415","https://openalex.org/W3156053806","https://openalex.org/W3166881126","https://openalex.org/W3168767419","https://openalex.org/W3183750791","https://openalex.org/W3196868443","https://openalex.org/W3207535763","https://openalex.org/W3211522010","https://openalex.org/W3214670963","https://openalex.org/W3216039940","https://openalex.org/W4200602468","https://openalex.org/W4206385874","https://openalex.org/W4206804737","https://openalex.org/W4210858088","https://openalex.org/W4220878415","https://openalex.org/W4224949233","https://openalex.org/W4280604924","https://openalex.org/W4285792540","https://openalex.org/W4310014085","https://openalex.org/W4313855904","https://openalex.org/W4322765638","https://openalex.org/W4323971606","https://openalex.org/W4361026637","https://openalex.org/W4361192317","https://openalex.org/W4362471908","https://openalex.org/W4367678309","https://openalex.org/W4383109683","https://openalex.org/W4383163163","https://openalex.org/W4383648214","https://openalex.org/W4385651138"],"related_works":["https://openalex.org/W2367925007","https://openalex.org/W3015724364","https://openalex.org/W4288263119","https://openalex.org/W2967994095","https://openalex.org/W4285240985","https://openalex.org/W2900126711","https://openalex.org/W4225162083","https://openalex.org/W3202115945","https://openalex.org/W2542958340","https://openalex.org/W4389520438"],"abstract_inverted_index":{"Consumers":[0],"have":[1,18],"begun":[2,19],"to":[3,20,28],"move":[4],"their":[5],"attention":[6],"away":[7],"from":[8,16],"product":[9,149],"functioning":[10],"and":[11,102,113,119,126,130,133],"toward":[12],"value":[13],"probably":[14],"extracted":[15],"items.Companies":[17],"use":[21],"customer":[22,85],"service":[23,86,150],"systems":[24],"(CSS)":[25],"in":[26,147,161],"response":[27],"this":[29,57],"trend,":[30],"which":[31],"are":[32,104],"business":[33],"models":[34],"that":[35],"give":[36],"clients":[37],"with":[38,48,138],"not":[39],"solitary":[40],"tangible":[41],"items":[42],"as":[43,45,91,142],"well":[44],"intangible":[46],"facilities.Even":[47],"substantial":[49],"investigation":[50],"on":[51,153],"Smart":[52,69],"CSS":[53],"frameworks,":[54],"rare":[55],"of":[56,73,107],"frameworks":[58],"considered":[59],"customers":[60],"active":[61],"data":[62,66],"producers":[63],"actively":[64],"creating":[65],"for":[67],"the":[68,71],"CSS.Furthermore,":[70],"majority":[72],"them":[74],"offered":[75],"a":[76,81],"generic":[77],"remedy":[78],"rather":[79],"than":[80],"personalized":[82,144],"one.To":[83],"classify":[84],"systems,":[87],"performance":[88,106],"metrics,":[89],"such":[90,141],"precision,":[92],"accuracy,":[93],"F1-score,":[94],"Recall":[95],"(Sensitivity),":[96],"Specificity,":[97],"Error":[98],"rate,":[99],"Computation":[100],"time,":[101,123],"RoC":[103],"considered.The":[105],"AETGCN-NGOA-CSS":[108],"approach":[109],"attains":[110],"19.11%,":[111],"24.12%":[112],"28.13%":[114],"high":[115],"specificity,":[116],"24.93%,":[117],"23.04%,":[118],"9.51%":[120],"lower":[121],"computation":[122],"15.2%,":[124],"25.45%":[125],"13.91%":[127],"higher":[128,135],"ROC":[129],"8.45%,":[131],"20.98%,":[132],"27.55%":[134],"accuracy":[136],"compared":[137],"existing":[139],"methods,":[140],"developing":[143],"recommendation":[145],"system":[146,151],"smart":[148],"depend":[152],"unsupervised":[154],"learning":[155],"model":[156],"(CSS-BERT),":[157],"Cognitive":[158],"Decision-Making":[159],"approaches":[160],"Data-driven":[162],"Retail":[163],"Intelligence:":[164]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-12T06:13:28.667946","created_date":"2025-10-10T00:00:00"}
