Calculated based on number of publications stored in Pure and citations from Scopus
20152023

Research activity per year

Personal profile

Biography

My research topic is artificial intelligence, specializing in recommender systems. I mainly focus on applying data mining and machine learning techniques (e.g., deep learning, reinforcement learning) to design effective algorithms to enhance the performance of recommender systems in various domains, such as e-commerce, social networks, location-based social networks (LBSNs), multi-media, smart learning and so forth. Specifically, I am interested in leveraging side information (e.g., item categories, knowledge graphs) to address data sparsity and cold start problems of recommender systems. 

Research interests

  • Recommender Systems
  • User Modeling
  • Social Network Analysis
  • Machine Learning (Deep Learning, Reinforcement Learning)
  • Data Mining

Education/Academic qualification

Computer Science and Engineering, Ph.D., Exploiting Item Relationships for Effective Recommendation, Nanyang Technological University

4 Aug 20141 Jul 2018

Award Date: 1 Jul 2018

Computer Science and Engineering, Bachelor, Yanshan University

1 Sept 20091 Jul 2013

Award Date: 1 Jul 2013

Fingerprint

Dive into the research topics where Zhu Sun is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or