Reinforcement learning based recommender systems: A survey
Recommender systems (RSs) have become an inseparable part of our everyday lives. They
help us find our favorite items to purchase, our friends on social networks, and our favorite …
help us find our favorite items to purchase, our friends on social networks, and our favorite …
A systematic study on reinforcement learning based applications
We have analyzed 127 publications for this review paper, which discuss applications of
Reinforcement Learning (RL) in marketing, robotics, gaming, automated cars, natural …
Reinforcement Learning (RL) in marketing, robotics, gaming, automated cars, natural …
HGNN: Hyperedge-based graph neural network for MOOC course recommendation
X Wang, W Ma, L Guo, H Jiang, F Liu, C Xu - Information Processing & …, 2022 - Elsevier
Abstract Previous studies on Course Recommendation (CR) mainly focus on investigating
the sequential relationships among courses (RNN is applied) and fail to learn the similarity …
the sequential relationships among courses (RNN is applied) and fail to learn the similarity …
Knowledge discovery for course choice decision in Massive Open Online Courses using machine learning approaches
Abstract Massive Open Online Courses (MOOCs) provide learners with high-quality and
flexible online courses with no limitations regarding time and location. Detecting users' …
flexible online courses with no limitations regarding time and location. Detecting users' …
A survey on reinforcement learning for recommender systems
Recommender systems have been widely applied in different real-life scenarios to help us
find useful information. In particular, reinforcement learning (RL)-based recommender …
find useful information. In particular, reinforcement learning (RL)-based recommender …
KGAN: Knowledge grou** aggregation network for course recommendation in MOOCs
Massive open online courses (MOOCs) are dedicated to providing learners with large-scale
and open-access boutique courses. Recently, the course recommendation algorithm in …
and open-access boutique courses. Recently, the course recommendation algorithm in …
Evolutionary machine learning builds smart education big data platform: Data-driven higher education
L Zheng, C Wang, X Chen, Y Song, Z Meng… - Applied Soft …, 2023 - Elsevier
The development of machine learning has promoted the construction of smart education
platforms. It is of great significance to deeply investigate the usage of machine learning …
platforms. It is of great significance to deeply investigate the usage of machine learning …
Smart E-learning framework for personalized adaptive learning and sequential path recommendations using reinforcement learning
Learning activities are considerably supported and improved by the rapid advancement of e-
learning systems. This gives students a tremendous chance to participate in learning …
learning systems. This gives students a tremendous chance to participate in learning …
Hierarchical reinforcement learning with dynamic recurrent mechanism for course recommendation
In online learning scenarios, the learners usually hope to find courses that meet their
preferences and the needs for their future developments. Thus, there is a great need to …
preferences and the needs for their future developments. Thus, there is a great need to …
Knowledge-aware sequence modelling with deep learning for online course recommendation
The recent boom in online courses has necessitated personalized online course
recommendation. Modelling the learning sequences of users is key for course …
recommendation. Modelling the learning sequences of users is key for course …