[HTML][HTML] Artificial Intelligence for Computer-Aided Drug Discovery
The continuous implementation of Artificial Intelligence (AI) in multiple scientific domains
and the rapid advancement in computer software and hardware, along with other …
and the rapid advancement in computer software and hardware, along with other …
A novel joint neural collaborative filtering incorporating rating reliability
J Deng, Q Wu, S Wang, J Ye, P Wang, M Du - Information Sciences, 2024 - Elsevier
Deep learning-based recommendations have demonstrated impressive performance in
improving recommendation accuracy. However, such approaches mainly utilize implicit …
improving recommendation accuracy. However, such approaches mainly utilize implicit …
An adaptable and personalized framework for top-N course recommendations in online learning
In recent years, the proliferation of Massive Open Online Courses (MOOC) platforms on a
global scale has been remarkable. Learners can now meet their learning demands with the …
global scale has been remarkable. Learners can now meet their learning demands with the …
Enhancing user and item representation with collaborative signals for KG-based recommendation
Y Zhang, X Gu - Neural Computing and Applications, 2024 - Springer
Abstract Knowledge graph (KG) shows great potential in improving recommendation
systems. Recent studies have focused on developing end-to-end models based on graph …
systems. Recent studies have focused on developing end-to-end models based on graph …
Tri-relational multi-faceted graph neural networks for automatic question tagging
Automatic question tagging is a crucial task in Community Question Answering (CQA)
systems such as Zhihu or Quora, as it can significantly enhance the user experience by …
systems such as Zhihu or Quora, as it can significantly enhance the user experience by …
A hybrid collaborative filtering mechanism for product recommendation system
SR Mandalapu, B Narayanan, S Putheti - Multimedia Tools and …, 2024 - Springer
The collaborative model is the needed framework to find a good product in both user-and
budget-friendly. These collaborative filtering models have provided product …
budget-friendly. These collaborative filtering models have provided product …
Dyna-style Model-based reinforcement learning with Model-Free Policy Optimization
Dyna-style Model-based reinforcement learning (MBRL) methods have demonstrated
superior sample efficiency compared to their model-free counterparts, largely attributable to …
superior sample efficiency compared to their model-free counterparts, largely attributable to …
Multi-Head multimodal deep interest recommendation network
M Yang, P Zhou, S Li, Y Zhang, J Hu… - Knowledge-Based Systems, 2023 - Elsevier
From machine learning recommendation to deep learning recommendation, reinforcement
learning recommendation, and recommendation model compression, the network structure …
learning recommendation, and recommendation model compression, the network structure …
Debiased Model-based Interactive Recommendation
Existing model-based interactive recommendation systems are trained by querying a world
model to capture the user preference, but learning the world model from historical logged …
model to capture the user preference, but learning the world model from historical logged …
A Service Recommendation System Based on Dynamic User Groups and Reinforcement Learning
E Zhang, W Ma, J Zhang, X Xia - Electronics, 2023 - mdpi.com
Recently, advancements in machine-learning technology have enabled platforms such as
short video applications and e-commerce websites to accurately predict user behavior and …
short video applications and e-commerce websites to accurately predict user behavior and …