homepage: | http://www.cs.toronto.edu/~paolo/ |
search externally: | Google Scholar, Springer, CiteSeer, Microsoft Academic Search, Scirus , DBlife |
Description
From 2008 to August 2010 I was a postdoc at the University of Toronto working with Craig Boutilier on topics of utility elicitation, decision making under uncertainty and optimization. I hold a PhD in Artificial Intelligence from EPFL, Lausanne, Switzerland (obtained in 2007). My interests are within the following areas: recommender systems, constraint and planning systems, personal agents, preferences and user modeling, intelligent interfaces, machine learning, adaptive systems.
I am currently investigating preference reasoning and elicitation for automatic tools like personal agents or recommender systems. In our opinion, preference-elicitation should be open-ended allowing a diversity of modalites to acquire user models and target recommendations. Users should be allowed to state preferences in a way that is natural and convenient to them. At the same time, AI systems need to optimize their actions reasoning with a partial model of the user preferences or utility function.
Lecture:
demonstration video Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets as coauthor at Video Journal of Machine Learning Abstracts - Volume 1, 3131 views |