Article Versions Notes

Maher M, Ngoy PM, Rebriks A, Ozcinar C, Cuevas J, Sanagavarapu R, Anbarjafari G. Comprehensive Empirical Evaluation of Deep Learning Approaches for Session-Based Recommendation in E-Commerce. Entropy. 2022; 24(11):1575. https://doi.org/10.3390/e24111575

Maher, Mohamed, Perseverance Munga Ngoy, Aleksandrs Rebriks, Cagri Ozcinar, Josue Cuevas, Rajasekhar Sanagavarapu, and Gholamreza Anbarjafari. 2022. "Comprehensive Empirical Evaluation of Deep Learning Approaches for Session-Based Recommendation in E-Commerce" Entropy 24, no. 11: 1575. https://doi.org/10.3390/e24111575

Maher, M., Ngoy, P. M., Rebriks, A., Ozcinar, C., Cuevas, J., Sanagavarapu, R., & Anbarjafari, G. (2022). Comprehensive Empirical Evaluation of Deep Learning Approaches for Session-Based Recommendation in E-Commerce. Entropy, 24(11), 1575. https://doi.org/10.3390/e24111575