{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T11:14:01Z","timestamp":1778498041931,"version":"3.51.4"},"reference-count":22,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Korea Institute for Advancement of Technology (KIAT), Korean Government [Ministry of Trade, Industry and Energy (MOTIE)] (Human Resource Development","award":["P0020632"],"award-info":[{"award-number":["P0020632"]}]},{"name":"Chung-Ang University Research Scholarship Grants in 2023"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3529023","type":"journal-article","created":{"date-parts":[[2025,1,13]],"date-time":"2025-01-13T20:04:15Z","timestamp":1736798655000},"page":"12527-12541","source":"Crossref","is-referenced-by-count":8,"title":["RFMVDA: An Enhanced Deep Learning Approach for Customer Behavior Classification in E-Commerce Environments"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-6154-2984","authenticated-orcid":false,"given":"Kwanhee","family":"Kim","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Chung-Ang University, Seoul, South Korea"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-5667-5392","authenticated-orcid":false,"given":"Mingyu","family":"Jo","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Chung-Ang University, Seoul, South Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9277-5780","authenticated-orcid":false,"given":"Ilkyeun","family":"Ra","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, University of Colorado Denver, Denver, CO, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1832-3532","authenticated-orcid":false,"given":"Sangoh","family":"Park","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Chung-Ang University, Seoul, South Korea"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"Big Data","year":"2022"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.bdr.2015.01.003"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1108\/14637150310496703"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.chb.2016.03.008"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2005.09.004"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1362\/0267257022775918"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1108\/14637150310496758"},{"key":"ref8","volume-title":"Customer Data Platforms: Use People Data To Transf. Future Marketing Engagement","author":"Kihn","year":"2020"},{"issue":"19","key":"ref9","first-page":"4199","article-title":"A review of the application of RFM model","volume":"4","author":"Wei","year":"2010","journal-title":"Afr. J. Bus. Manage."},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1155\/2014\/685495"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/iccit54785.2021.9689810"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.elerap.2009.03.002"},{"issue":"2","key":"ref13","first-page":"351","article-title":"New approach for customer clustering by integrating the LRFM model and fuzzy inference system","volume":"11","author":"Zoeram","year":"2018","journal-title":"Iranian J. Manage. Stud."},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.jksuci.2018.09.004"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICDH.2016.050"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-018-3523-0"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-14799-0_21"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3111306"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2022.103085"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-023-09339-6"},{"key":"ref21","first-page":"1423","article-title":"Client segmentation and customization in e-commerce: Applications of machine learning from a management perspective","volume-title":"Proc. Int. Conf. Commun., Comput. Sci. Eng. (IC3SE)","author":"Sriprasadh"},{"key":"ref22","first-page":"1","article-title":"Application of machine learning algorithms for customer segmentation in e-commerce management","volume-title":"Proc. Int. Conf. Sci. Technol. Eng. Manage. (ICSTEM)","author":"Rajyalaxmi"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/10839360.pdf?arnumber=10839360","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,25]],"date-time":"2025-01-25T05:22:20Z","timestamp":1737782540000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10839360\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3529023","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}