AaPiDL: an ensemble deep learning-based predictive framework for analyzing customer behaviour and enhancing sales in e-commerce systems
Crossref DOI link: https://doi.org/10.1007/s41870-024-01796-z
Published Online: 2024-03-21
Published Print: 2024-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Mamta, K.
Sangwan, Suman
Text and Data Mining valid from 2024-03-21
Version of Record valid from 2024-03-21
Article History
Received: 25 October 2023
Accepted: 16 February 2024
First Online: 21 March 2024
Declarations
:
: There are no conflicts of interests associated with this study.