Comprehensive Empirical Evaluation of Deep Learning Approaches for Session-Based Recommendation in E-Commerce

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...

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Bibliographic Details
Main Authors: Mohamed Maher, Perseverance Munga Ngoy, Aleksandrs Rebriks, Cagri Ozcinar, Josue Cuevas, Rajasekhar Sanagavarapu, Gholamreza Anbarjafari
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Entropy
Subjects:
session-based recommendation
information systems
deep learning
evaluation
E-commerce
Online Access:https://www.mdpi.com/1099-4300/24/11/1575

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