Quoc-Tuan Truong

[email protected]  /  LinkedIn  /  GitHub

I am an Applied Scientist at Amazon in Pricing Science where I work on item typical price estimation, forecasting, and moderation on WW Amazon Stores. Previously, I was in Personalization working on user preference learning, ranking, and efficient retrieval for item recommendation.

I grew up in Vietnam (xin chào!) and went to VNU Hanoi for my undergrad. Thereafter, I came to Singapore and did my PhD at SMU, working with Prof. Hady W. Lauw. My thesis is focused on modeling preferences from multimodal data and its application in recommender systems.


Research Interests:

  • Machine Learning Methods
  • Learning to Rank, Personalized Search and Recommendation
  • Web Mining and Learning from Human Behavioral Data

I developed Cornac framework to ease the research and development of multimodal recommender systems. These tutorials (also RecSys'21, WWW'23) were created to aid learning and getting started.

Publications [DBLP] [Google Scholar]


Conference Organization
Program Committee
Journal Reviewer
  • ACM Transactions on Knowledge Discovery from Data (TKDD)
  • Frontiers of Computer Science (FCS)
  • IEEE Intelligent Systems (IS)
  • IEEE Transactions on Affective Computing (TAC)
  • IEEE Transactions on Multimedia (TMM)
  • Neurocomputing (NEUCOM)