Young Park

Young ParkDr. Young Park is Professor in the Department of Computer Science and Information Systems at Bradley University. His current research interests include recommender systems & applications, MOOC personalization and learning analytics, personalized Web search, requirements engineering, software engineering and formal concept analysis & applications. He received his PhD in Computer Science from the Courant Institute of Mathematical Sciences, New York University, MS in Computer Science from KAIST and BS in Electronic Engineering from Seoul National University. He is a member of the ACM and the IEEE Computer Society.

Publications

Advanced Recommender Systems
Advanced Recommender Systems
Young Park. © 2019. 13 pages.
This chapter presents a brief and systematic overview of four major advanced recommender systems: group recommender systems, context-aware recommender systems, multi-criteria...
Recommender Technologies and Emerging Applications
Recommender Technologies and Emerging Applications
Young Park. © 2019. 13 pages.
This chapter presents a brief overview of the field of recommender technologies and their emerging application domains. The authors explain the current major recommender system...
Advanced Recommender Systems
Advanced Recommender Systems
Young Park. © 2018. 11 pages.
Recommender Technologies and Emerging Applications
Recommender Technologies and Emerging Applications
Young Park. © 2018. 11 pages.
Personalized Recommendation: Approaches and Applications
Personalized Recommendation: Approaches and Applications
Young Park. © 2016. 10 pages.
Recommender Systems: An Overview
Recommender Systems: An Overview
Young Park. © 2010. 10 pages.
With the explosive growth of goods and services available on the Web through e-commerce, it is increasingly difficult for consumers to find the right products or services....