The rapid evolution of deep learning technologies and the explosion of diverse user interaction traces have brought significant challenges and opportunities to recommendation and personalized systems. The Connected Experiences Lab hosted an Immersive Recommendation Workshop: Deep User and Content Modeling for Personalization.
CX Lab PhD Fellow, Longqi Yang discussed recent trends and techniques in user modeling and presented the lab’s work on immersive recommendation systems. These systems learn users’ preferences from diverse digital trace modalities (text, image and unstructured data streams) in a wide range of recommendation domains (creative art, food, news, and events). The workshop also included a light tutorial on OpenRec, an open source framework that enables quick prototyping of complex recommender systems via modularization. Check out the slides here !
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