Unveiling the Algorithmic Essence: Comparative Study for Algorithm of Recommendation System
@FYP23073
| Supervisor: Huang Chao
Lau Yan Chun Chris
- Information System
- Machine Learning
- Network Graph
- Self-supervised Learning
Why RS?
Recommendation system has been increasingly adopted by various online platforms and applications to improve user experience by generating user-customized suggestions for each specific user.
After BellKor’s Pragmatic Chaos team won US$1,000,000 in Netflix Prize 2009 with his unique recommendation algorithm, what is next?
![](https://wp2023.cs.hku.hk/fyp23073/wp-content/uploads/sites/74/螢幕截圖-2024-04-20-上午2.31.31.png)
![](https://wp2023.cs.hku.hk/fyp23073/wp-content/uploads/sites/74/螢幕截圖-2024-04-20-上午2.10.03-1.png)
Related Concepts
Challenges of RS & state-of-the-art approaches
![](https://wp2023.cs.hku.hk/fyp23073/wp-content/uploads/sites/74/螢幕截圖-2024-04-20-上午2.15.25.png)
Results & Finding
How datasets affect the algorithms’ performance?
![](https://wp2023.cs.hku.hk/fyp23073/wp-content/uploads/sites/74/螢幕截圖-2024-04-20-上午2.16.06.png)
Paper & Document
Full context of the study