PhD LIVE Study Fair

Oxford | Edinburgh | Sheffield

Imperial College London Featured PhD Programmes
Imperial College London Featured PhD Programmes
Norwich Research Park Featured PhD Programmes
Sheffield Hallam University Featured PhD Programmes
Max Planck Society Featured PhD Programmes

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.

Email Now

Insert previous message below for editing? 
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here
* required field
Send a copy to me for my own records.

Your enquiry has been emailed successfully

FindAPhD. Copyright 2005-2019
All rights reserved.