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Community-Based Collaborative Learning for Personalized Recommendation Speaker (s): 
NGUYEN Tiep Trong
MSc IS Candidate
School of Information Systems
Singapore Management University |
Date:
Time:
Venue:
| | May 17, 2017, Wednesday
1:00 pm - 2:00 pm
Meeting Room 4.4, Level 4
School of Information Systems
Singapore Management University
80 Stamford Road
Singapore 178902
We look forward to seeing you at this research seminar. ![]()
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About the Talk With the rapid growth of the Web and social media, understanding users' preferences is a key task in recommender systems. The aim of this thesis is to exploit the role of "community" in mining users' behaviors. Our work draws inspiration from collaborative filtering, where users share their preferences through similar ratings; however, we seek to explore the effects of community rather than individual links. In this thesis, we introduce an integrated model which combines item-item connections through its content, and user-user connections through their social relationships to deal with the case of sparse data, where there is very few number of interactions between users and items. Experiments on public real-life data showcase the utility of the model, particularly when there is significant compatibility between communities and topics. About the Speaker NGUYEN Tiep Trong is currently pursuing Master of Science in Information Systems under the supervision of Prof. Hady W. Lauw. He received his Bachelor of Ho Chi Minh University of Technology, Vietnam. His research focuses on recommender systems, especially social network mining on user preferences. |
