ICCK

Yiquan An

Collaborative Innovation Center for Common Steel Technology, University of Science and Technology Beijing, Beijing 100083, China

Section 01

Academic Profile

Yiquan An received his BS and MS degrees in College of Economics and Management, Taiyuan University of Technology, China, in 2018 and 2022, respectively. He is currently a PhD candidate in University of Science and Technology Beijing. His current research interests include deep transfer learning, causal structure discovery, and industrial data mining and modeling.

Section 02

Editorial Roles

This user currently does not serve as an editor for any ICCK journals.

Section 03

ICCK Publications

Free Access | Review Article | 15 October 2024 | Cited: Crossref logo  9 , Scopus 7
Recommender System: A Comprehensive Overview of Technical Challenges and Social Implications
ICCK Transactions on Sensing, Communication, and Control | Volume 1, Issue 1: 30-51, 2024 | DOI: 10.62762/TSCC.2024.898503
Abstract
The proliferation of Recommender Systems (RecSys), driven by their expanding deployment within Sensing-Communication-Control (SCC) architectures and explosive growth of multi-sensor data streams, has cultivated a dynamic research landscape at the intersection of artificial intelligence and cyber-physical systems. Embedded in SCC pipelines, RecSys transforms heterogeneous sensor-acquired data-spanning behavioral signals, physiological measurements, spatial context, and environmental conditions-into personalized control directives for smart homes, industrial IoT platforms, intelligent transportation systems, and precision healthcare environments. This paper comprehensively reviews RecSys fou... More >

Graphical Abstract
Recommender System: A Comprehensive Overview of Technical Challenges and Social Implications