VisRec: A Hands-on Tutorial on Deep Learning for Visual Recommender Systems en ACM IUI 2021

Tutorial «VisRec: A Hands-on Tutorial on Deep Learning for Visual Recommender Systems” serves as an introduction to deep learning approaches to build visual recommendation systems. Deep learning models can be used as feature extractors, and perform extremely well in visual recommender systems to create representations of visual items. This tutorial covers the foundations of convolutional neural networks and then how to use them to build state-of-the-art personalized recommendation systems. The tutorial is designed as a hands-on experience, focused on providing both theoretical knowledge as well as practical experience on the topics of the course.

ACM IUI 2021 is the 26th annual meeting of the intelligent interfaces community and serves as a premier international forum for reporting outstanding research and development on intelligent user interfaces. ACM IUI is where the Human-Computer Interaction (HCI) community meets the Artificial Intelligence (AI) community. We are also very interested in contributions from related fields, such as psychology, behavioral science, cognitive science, computer graphics, design, the arts, etc.


Denis Parra, Pontificia Universidad Católica de Chile & IMFD
Antonio Ossa-Guerra, Pontificia Universidad Católica de Chile
Manuel Cartagena, Pontificia Universidad Católica de Chile
Patricio Cerda-Mardini, Pontificia Universidad Católica de Chile
Felipe del Río, Pontificia Universidad Católica de Chile
This year’s conference will be completely virtual.

Registration for IUI 2021 includes virtual access to all sessions and workshops. Payment and registration is being handled through a 3rd party provider.

Registration link:

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