{"id":"https://openalex.org/W4414886104","doi":"https://doi.org/10.1007/s44196-025-00954-w","title":"The Application of Deep Learning in User Purchase Behaviour Analysis and Marketing Decision Support","display_name":"The Application of Deep Learning in User Purchase Behaviour Analysis and Marketing Decision Support","publication_year":2025,"publication_date":"2025-10-07","ids":{"openalex":"https://openalex.org/W4414886104","doi":"https://doi.org/10.1007/s44196-025-00954-w"},"language":"en","primary_location":{"id":"doi:10.1007/s44196-025-00954-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44196-025-00954-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44196-025-00954-w.pdf","source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s44196-025-00954-w.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100376393","display_name":"Zhi Wang","orcid":"https://orcid.org/0000-0002-4459-6462"},"institutions":[{"id":"https://openalex.org/I170751988","display_name":"Shanxi University of Finance and Economics","ror":"https://ror.org/04nte7y58","country_code":"CN","type":"education","lineage":["https://openalex.org/I170751988"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhi Wang","raw_affiliation_strings":["School of Digital Business, Shanxi Finance and Taxation College, Taiyuan, 030000, Shanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Digital Business, Shanxi Finance and Taxation College, Taiyuan, 030000, Shanxi, China","institution_ids":["https://openalex.org/I170751988"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100376393"],"corresponding_institution_ids":["https://openalex.org/I170751988"],"apc_list":{"value":1390,"currency":"GBP","value_usd":1704},"apc_paid":{"value":1390,"currency":"GBP","value_usd":1704},"fwci":2.4149,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.90201264,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"18","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":0.9746000170707703,"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/T12384","display_name":"Customer churn and segmentation","score":0.9746000170707703,"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/T11536","display_name":"Consumer Retail Behavior Studies","score":0.9129999876022339,"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/purchasing","display_name":"Purchasing","score":0.6344000101089478},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.6079999804496765},{"id":"https://openalex.org/keywords/consumer-behaviour","display_name":"Consumer behaviour","score":0.4731000065803528},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43369999527931213},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.42399999499320984},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.414900004863739},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.40709999203681946},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.3686000108718872},{"id":"https://openalex.org/keywords/procurement","display_name":"Procurement","score":0.36739999055862427}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7764999866485596},{"id":"https://openalex.org/C2778813691","wikidata":"https://www.wikidata.org/wiki/Q1369832","display_name":"Purchasing","level":2,"score":0.6344000101089478},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.6079999804496765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5245000123977661},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48660001158714294},{"id":"https://openalex.org/C23213687","wikidata":"https://www.wikidata.org/wiki/Q301468","display_name":"Consumer behaviour","level":2,"score":0.4731000065803528},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43369999527931213},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.42399999499320984},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.414900004863739},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.40709999203681946},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.3686000108718872},{"id":"https://openalex.org/C201650216","wikidata":"https://www.wikidata.org/wiki/Q829492","display_name":"Procurement","level":2,"score":0.36739999055862427},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.3481999933719635},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.3382999897003174},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.33730000257492065},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3237999975681305},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.31220000982284546},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.3082999885082245},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.2842000126838684},{"id":"https://openalex.org/C113364986","wikidata":"https://www.wikidata.org/wiki/Q3310681","display_name":"Personalized marketing","level":5,"score":0.27630001306533813},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.2712000012397766},{"id":"https://openalex.org/C188087704","wikidata":"https://www.wikidata.org/wiki/Q369577","display_name":"Standardization","level":2,"score":0.26660001277923584},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.26190000772476196},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.25780001282691956},{"id":"https://openalex.org/C87345402","wikidata":"https://www.wikidata.org/wiki/Q485202","display_name":"Analytic hierarchy process","level":2,"score":0.2526000142097473},{"id":"https://openalex.org/C98825075","wikidata":"https://www.wikidata.org/wiki/Q485643","display_name":"Customer relationship management","level":2,"score":0.2508000135421753}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44196-025-00954-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44196-025-00954-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44196-025-00954-w.pdf","source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c2f2e60ff55f426fb2e9c184daacff34","is_oa":true,"landing_page_url":"https://doaj.org/article/c2f2e60ff55f426fb2e9c184daacff34","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Computational Intelligence Systems, Vol 18, Iss 1, Pp 1-25 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44196-025-00954-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44196-025-00954-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44196-025-00954-w.pdf","source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414886104.pdf","grobid_xml":"https://content.openalex.org/works/W4414886104.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W3004442222","https://openalex.org/W3008987849","https://openalex.org/W3020221404","https://openalex.org/W3044397306","https://openalex.org/W3115746647","https://openalex.org/W3131530676","https://openalex.org/W3167835154","https://openalex.org/W3206488965","https://openalex.org/W3208801535","https://openalex.org/W4221009306","https://openalex.org/W4224299727","https://openalex.org/W4324104316","https://openalex.org/W4380202278","https://openalex.org/W4386475710","https://openalex.org/W4391344488","https://openalex.org/W4399782864","https://openalex.org/W4399916721","https://openalex.org/W4400986394"],"related_works":[],"abstract_inverted_index":{"User":[0,31],"purchase":[1,92,173],"behaviour":[2,32,174],"(UPB)":[3],"analysis":[4,23],"is":[5,18,33],"essential":[6],"in":[7,42],"enhancing":[8],"marketing":[9],"strategies":[10,51],"on":[11],"e-commerce":[12],"platforms.":[13],"The":[14,72,94,145],"user":[15,38,172],"purchasing":[16,55,65],"pattern":[17],"determined":[19],"from":[20,67],"the":[21,58,64,85,91,98,107,111,120,132,136,148,163],"product":[22],"to":[24,35,52,62,89,105,128,153],"procurement":[25],"evaluation,":[26],"directly":[27],"influencing":[28],"business":[29],"growth.":[30],"challenging":[34],"predict":[36,129],"because":[37],"requirements":[39],"frequently":[40],"change":[41],"a":[43,141],"dynamic":[44],"environment.":[45],"Traditional":[46],"methods":[47],"utilize":[48],"various":[49],"learning":[50],"understand":[53],"consumer":[54,124],"patterns.":[56,175],"However,":[57],"existing":[59],"techniques":[60],"fail":[61],"learn":[63],"patterns":[66],"high-dimensionality":[68],"and":[69,87,113,118,130,157,168,170],"overfitting":[70],"data.":[71,109],"research":[73],"difficulties":[74],"are":[75,126],"addressed":[76],"using":[77],"Deep":[78],"Generative":[79],"Adversarial":[80],"Networks":[81],"(DGAN),":[82],"which":[83],"use":[84],"generator":[86],"discriminator":[88],"observe":[90],"pattern.":[93],"DGAN":[95,158],"model":[96],"uses":[97,147],"nearest":[99],"neighbouring":[100],"integrated":[101],"data":[102],"formulation":[103],"procedure":[104,115],"eliminate":[106],"missing":[108],"Then,":[110],"normalization":[112],"standardization":[114],"that":[116],"format":[117],"simplify":[119],"computation":[121],"procedure.":[122],"Finally,":[123],"profiles":[125],"generated":[127],"differentiate":[131],"false":[133],"data,":[134],"improving":[135],"overall":[137],"UPB":[138],"efficiency":[139],"with":[140],"minimum":[142],"error":[143],"rate.":[144],"system":[146,155,165],"E-commerce":[149],"Customer":[150],"Behaviour":[151],"Dataset":[152],"evaluate":[154],"efficiency,":[156],"attains":[159],"98.23%":[160],"accuracy.":[161],"Thus,":[162],"introduced":[164],"achieves":[166],"robustness":[167],"scalability":[169],"improves":[171]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}