The UM4Learning project focuses on implementing reinforcement learning algorithms to model user behaviour in information filtering systems. The goal is to enhance the system’s ability to provide personalised recommendations by accurately predicting user preferences and adapting to their changing interests over time. The system continuously improves its recommendations based on user interactions and feedback by leveraging reinforcement learning.
Objectives:
- Implement Reinforcement Learning Algorithms: Implement the algorithms in a sample website to recommend documents.
- Integrate with a Information Filtering System: Integrate the reinforcement learning models with an existing information filtering system.
Project Significance:
By accurately modeling user behaviour, the system can provide highly personalised document recommendations, significantly improving user satisfaction and engagement.