{"id":"https://openalex.org/W4415003080","doi":"https://doi.org/10.1109/ojcs.2025.3619983","title":"CustXaiNet: A Multi-Modal Deep Learning Framework for Predicting Customer Behavior With Explainable AI","display_name":"CustXaiNet: A Multi-Modal Deep Learning Framework for Predicting Customer Behavior With Explainable AI","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415003080","doi":"https://doi.org/10.1109/ojcs.2025.3619983"},"language":"en","primary_location":{"id":"doi:10.1109/ojcs.2025.3619983","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ojcs.2025.3619983","pdf_url":null,"source":{"id":"https://openalex.org/S4210176459","display_name":"IEEE Open Journal of the Computer Society","issn_l":"2644-1268","issn":["2644-1268"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Open Journal of the Computer Society","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/ojcs.2025.3619983","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5117490408","display_name":"Afsana Alam Nova","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Afsana Alam Nova","raw_affiliation_strings":["Information Technology, Washington University of Science and Technology, Alexandria, VA, USA"],"affiliations":[{"raw_affiliation_string":"Information Technology, Washington University of Science and Technology, Alexandria, VA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117490409","display_name":"Mir Nafiul Nagib","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mir Nafiul Nagib","raw_affiliation_strings":["Information Technology, Washington University of Science and Technology, Alexandria, VA, USA"],"affiliations":[{"raw_affiliation_string":"Information Technology, Washington University of Science and Technology, Alexandria, VA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005279525","display_name":"Rahat Pervez","orcid":null},"institutions":[{"id":"https://openalex.org/I21669347","display_name":"Atlantic University","ror":"https://ror.org/04ykrg907","country_code":"US","type":"education","lineage":["https://openalex.org/I21669347"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rahat Pervez","raw_affiliation_strings":["Bay Atlantic University, Washington, DC, USA"],"affiliations":[{"raw_affiliation_string":"Bay Atlantic University, Washington, DC, USA","institution_ids":["https://openalex.org/I21669347"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041704835","display_name":"Md. Jakir Hossen","orcid":"https://orcid.org/0000-0002-9978-7987"},"institutions":[{"id":"https://openalex.org/I173029219","display_name":"Multimedia University","ror":"https://ror.org/04zrbnc33","country_code":"MY","type":"education","lineage":["https://openalex.org/I173029219"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Md. Jakir Hossen","raw_affiliation_strings":["Center for Advanced Analytics (CAA), COE for Artificial Intelligence, Faculty of Engineering &amp; Technology (FET), Multimedia University, Melaka, Malaysia"],"affiliations":[{"raw_affiliation_string":"Center for Advanced Analytics (CAA), COE for Artificial Intelligence, Faculty of Engineering &amp; Technology (FET), Multimedia University, Melaka, Malaysia","institution_ids":["https://openalex.org/I173029219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071208302","display_name":"M. F. Mridha","orcid":"https://orcid.org/0000-0001-5738-1631"},"institutions":[{"id":"https://openalex.org/I103434671","display_name":"American International University-Bangladesh","ror":"https://ror.org/02j8ga255","country_code":"BD","type":"education","lineage":["https://openalex.org/I103434671"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"M. F. Mridha","raw_affiliation_strings":["Department of Computer Science, American International University-Bangladesh, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, American International University-Bangladesh, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I103434671"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5117490408"],"corresponding_institution_ids":[],"apc_list":{"value":1750,"currency":"USD","value_usd":1750},"apc_paid":{"value":1750,"currency":"USD","value_usd":1750},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34446299,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":null,"first_page":"1775","last_page":"1786"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14260","display_name":"Impact of AI and Big Data on Business and Society","score":0.945900022983551,"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"}},"topics":[{"id":"https://openalex.org/T14260","display_name":"Impact of AI and Big Data on Business and Society","score":0.945900022983551,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9258000254631042,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9089000225067139,"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/interpretability","display_name":"Interpretability","score":0.9560999870300293},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7466999888420105},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5601000189781189},{"id":"https://openalex.org/keywords/stylized-fact","display_name":"Stylized fact","score":0.48750001192092896},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.44179999828338623},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.4375}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9560999870300293},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.76419997215271},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7466999888420105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7232000231742859},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6044999957084656},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5601000189781189},{"id":"https://openalex.org/C38935604","wikidata":"https://www.wikidata.org/wiki/Q4330363","display_name":"Stylized fact","level":2,"score":0.48750001192092896},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.44179999828338623},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.4375},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.4153999984264374},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35519999265670776},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3402000069618225},{"id":"https://openalex.org/C23213687","wikidata":"https://www.wikidata.org/wiki/Q301468","display_name":"Consumer behaviour","level":2,"score":0.326200008392334},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.3190999925136566},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30399999022483826},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.29170000553131104},{"id":"https://openalex.org/C127722929","wikidata":"https://www.wikidata.org/wiki/Q7833714","display_name":"Transaction data","level":3,"score":0.2563000023365021}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ojcs.2025.3619983","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ojcs.2025.3619983","pdf_url":null,"source":{"id":"https://openalex.org/S4210176459","display_name":"IEEE Open Journal of the Computer Society","issn_l":"2644-1268","issn":["2644-1268"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Open Journal of the Computer Society","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ab325b1ba1874712b8498a67a16e82c3","is_oa":true,"landing_page_url":"https://doaj.org/article/ab325b1ba1874712b8498a67a16e82c3","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":"IEEE Open Journal of the Computer Society, Vol 6, Pp 1775-1786 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/ojcs.2025.3619983","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ojcs.2025.3619983","pdf_url":null,"source":{"id":"https://openalex.org/S4210176459","display_name":"IEEE Open Journal of the Computer Society","issn_l":"2644-1268","issn":["2644-1268"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Open Journal of the Computer Society","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0,135],"paper":[1],"presents":[2],"CustXaiNet,":[3],"a":[4],"novel":[5],"multi-modal":[6,142],"deep":[7],"learning":[8],"framework":[9],"for":[10,64,80,94,151],"predicting":[11],"customer":[12],"behavior":[13],"in":[14,129,144],"e-commerce":[15,146],"applications":[16],"using":[17,102],"explainable":[18,141],"AI.":[19],"CustXaiNet":[20,98,157],"integrates":[21],"numerical":[22],"transactional":[23],"data":[24,28],"and":[25,32,46,59,72,84,105,124,133,154,172],"textual":[26],"review":[27],"through":[29],"hierarchical":[30],"attention":[31,106],"temporal":[33],"modeling,":[34],"enabling":[35,148],"robust":[36],"predictions":[37],"across":[38,115],"three":[39],"key":[40],"tasks:":[41],"purchase":[42,65],"likelihood,":[43],"basket":[44,81],"size,":[45],"sentiment":[47,95],"classification.":[48,96],"The":[49],"model":[50],"demonstrates":[51,137],"state-of-the-art":[52],"performance,":[53],"achieving":[54,108],"an":[55,60,68,73,85,90,109],"accuracy":[56,86],"of":[57,62,70,78,87,92,113,140,170,181],"93.2%":[58],"F1-score":[61,91],"92.7%":[63],"likelihood":[66],"prediction,":[67,83],"RMSE":[69],"8.9":[71],"R<inline-formula":[74],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[75],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[76],"notation=\"LaTeX\">$^{2}$</tex-math></inline-formula>-Score":[77],"0.95":[79],"size":[82],"94.1%":[88],"with":[89,119,167],"93.6%":[93],"Furthermore,":[97],"incorporates":[99],"explainability":[100],"mechanisms":[101],"SHAP":[103],"values":[104],"weights,":[107],"average":[110],"interpretability":[111,177],"score":[112],"0.91":[114],"tasks.":[116],"Comparative":[117],"analysis":[118],"existing":[120],"models,":[121],"including":[122],"BERT":[123],"LSTM,":[125],"highlights":[126],"CustXaiNet's":[127],"superiority":[128],"both":[130],"predictive":[131,162],"performance":[132,163],"transparency.":[134],"work":[136],"the":[138,168,179],"potential":[139],"AI":[143,174],"enhancing":[145],"analytics,":[147],"actionable":[149],"insights":[150],"personalized":[152],"marketing":[153],"operational":[155],"efficiency.":[156],"not":[158],"only":[159],"achieves":[160],"high":[161],"but":[164],"also":[165],"aligns":[166],"principles":[169],"trustworthy":[171],"transparent":[173],"by":[175],"embedding":[176],"at":[178],"core":[180],"its":[182],"architecture.":[183]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}
