Machine Learning Method for Cultural Heritage – PhD Scholarship

PhD in Computer Science
Coordinator: Riccardo Focardi
IIT Principal Investigator: Massimiliano Pontil
Ca’ Foscari University Contact Person: Marcello Pelillo

A principal objective of this research line is that of formalizing a machine learning framework for extracting information from cultural heritage knowledge graphs. Our aim is to study algorithms which are well suited for this task, understand their computational and statistical properties and study their performance on relevant benchmark datasets.

Topics of interest include collaborative filtering, game theoretic and graph based approaches to learning and factorization models for relational learning.