Research project: "Preference learning technique for recommender systems (PLATFORMS)"
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Goal
The overall goal of this project is to develop a unified framework for representing and reasoning on user preferences in recommender systems.
Objectives
- To develop techniques to exploit pair-wise comparison (i.e., user A prefers X to Y) for generating a user preference model.
- To learn a group preference model of a group and support group decision making.
Topics
- Personalisation
- Recommender systems
Key technologies
Reinforcement learning
Applications
Group recommender systems
Contact
Francesco Ricci (
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, web site)Francesco Ricci is a full professor at the Faculty of Computer Science of the Free University of Bozen-Bolzano. Find out more about him checking out his website.
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Category
Machine learning
Type
Research project
