Cargando…
Comprehensive Empirical Evaluation of Deep Learning Approaches for Session-Based Recommendation in E-Commerce
Boosting the sales of e-commerce services is guaranteed once users find more items matching their interests in a short amount of time. Consequently, recommendation systems have become a crucial part of any successful e-commerce service. Although various recommendation techniques could be used in e-c...
Autores principales: | Maher, Mohamed, Ngoy, Perseverance Munga, Rebriks, Aleksandrs, Ozcinar, Cagri, Cuevas, Josue, Sanagavarapu, Rajasekhar, Anbarjafari, Gholamreza |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689569/ https://www.ncbi.nlm.nih.gov/pubmed/36359664 http://dx.doi.org/10.3390/e24111575 |
Ejemplares similares
-
Prediction of sgRNA Off-Target Activity in CRISPR/Cas9 Gene Editing Using Graph Convolution Network
por: Vinodkumar, Prasoon Kumar, et al.
Publicado: (2021) -
A Survey on Deep Learning Based Segmentation, Detection and Classification for 3D Point Clouds
por: Vinodkumar, Prasoon Kumar, et al.
Publicado: (2023) -
Ensemble Approach for Detection of Depression Using EEG Features
por: Avots, Egils, et al.
Publicado: (2022) -
Trade-routes and commerce of the Roman Empire /
por: Charlesworth, M. P. 1895-1950 (Martin Percival)
Publicado: (1974) -
The e-commerce book: building the e-empire
por: Korper, Steffano, et al.
Publicado: (2001)