Personalization of information access has been a hot research topic since quite a long time. In particular, the task of personalized search requires two main underlying sub-tasks: modelling users and their context and leveraging users' models into proper personalization processes. In this talk the above issues will be critically addressed, with emphasis on neural approaches, which include the issue of defining personal language models. of Milano-Bicocca, where she leads the IKR3 research lab. Her work focuses on Natural Language Processing, with applications in search engines, recommendation systems, and social media analysis. She has authored over 250 scientific papers and has led numerous international research projects. Gabriella is also a founding member Workshop Proceedings ceur-ws.org ISSN1613-0073
Intelligence. CEUR