Exploring the Landscape of Hybrid Recommendation Systems in E-Commerce: A Systematic Literature Review
This article presents a systematic literature review on hybrid recommendation systems
(HRS) in the e-commerce sector, a field characterized by constant innovation and rapid …
(HRS) in the e-commerce sector, a field characterized by constant innovation and rapid …
Learner's intention analysis to mitigate the cold start problem in personalized learning recommendation systems
Understanding the learner's requirements and status is important for recommending relevant
and appropriate learning materials to the learner in personalized learning. For this purpose …
and appropriate learning materials to the learner in personalized learning. For this purpose …
Cold-Start and Data Sparsity Problems in a Digital Twin Based Recommendation System
The emergence of Digital Twins (DT) in Industry 4.0 has enabled the decision support
systems taking advantage of more effective recommendation systems (RS). Despite the RS's …
systems taking advantage of more effective recommendation systems (RS). Despite the RS's …
[PDF][PDF] Exploring the Landscape of Hybrid Recommendation Systems in E-Commerce: A Systematic
H LÖWENADLER - 2024 - diva-portal.org
This article presents a systematic literature review on hybrid recommendation systems
(HRS) in the e-commerce sector, a field characterized by constant innovation and rapid …
(HRS) in the e-commerce sector, a field characterized by constant innovation and rapid …
Trustable Intelligent Decision Support for Enhancing Industrial Digital Twins
FG da Silva Pires - 2024 - search.proquest.com
The manufacturing industry has faced a significant challenge in decision-making due to the
introduction of Industry 4.0 technologies. The traditional decision-making strategies that rely …
introduction of Industry 4.0 technologies. The traditional decision-making strategies that rely …