Deep learning-based collaborative filtering recommender systems: A comprehensive and systematic review

A Torkashvand, SM Jameii, A Reza - Neural Computing and Applications, 2023 - Springer
Nowadays, the volume of online information is growing and it is difficult to find the required
information. Effective strategies such as recommender systems are required to overcome …

Distributed Recommendation Systems: Survey and Research Directions

Q Cai, J Cao, G Xu, N Zhu - ACM Transactions on Information Systems, 2024 - dl.acm.org
With the explosive growth of online information, recommendation systems have become
essential tools for alleviating information overload. In recent years, researchers have …

Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation

Z Lv, T Zhan, W Wang, X Lin, S Zhang, W Zhang… - arXiv preprint arXiv …, 2025 - arxiv.org
Large Language Models (LLMs) for Recommendation (LLM4Rec) is a promising research
direction that has demonstrated exceptional performance in this field. However, its inability …

A Collaborative Learning-based Urban Low-light Small-target Face Image Enhancement Method

Z Wu, K Guo, L Wang, M Hu, S Ren - ACM Transactions on Sensor …, 2023 - dl.acm.org
Face recognition is an essential technology in intelligent transportation and security within
smart cities. Nevertheless, face images taken in nighttime urban environments often suffer …

A Differential Evolution Offloading Strategy for Latency and Privacy Sensitive Tasks with Federated Local-edge-cloud Collaboration

Y Chen, W Li, J Huang, H Gao, S Deng - ACM Transactions on Sensor … - dl.acm.org
Due to an explosive growth in mobile devices and the rapid evolution of wireless
communication technologies, local-edge-cloud computing is becoming an attractive solution …