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Towards Conversational Recommender Systems In the Era of Big Data

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Self-Funded PhD Students Only
    Self-Funded PhD Students Only

About This PhD Project

Project Description


To be able to cope with complex, huge, diverse, and dynamic data, people need the assistance of intelligent information systems such as recommender systems for finding, sorting, and filtering the available information. A recommender system is an effective personalisation tool. It can suggest content and services tailored to individuals and based on knowledge about their preferences and behaviours. This project will adopt advanced natural langue understanding and machine learning techniques such as reinforcement learning and deep learning techniques to construct conversational recommender systems.

Eligibility Requirement: First degree in computer science, physics, engineering, and mathematics with 2:1 or above. MSc degree in the relevant subject areas is desired. Good programming skills.

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