Towards AI-Aided Decision Making: Preference Learning and Recommendations from Multimodal Data

Explore the potential of AI-aided decision making in this comprehensive lecture by Associate Professor Hady W. Lauw from Singapore Management University. Delve into the world of preference learning and recommendation systems, focusing on how multimodal data can be leveraged to enhance user experiences. Discover the emerging trends of choice proliferation and behavior datafication, and their impact on AI-driven customization. Gain insights into the research conducted by the Preferred.AI group, covering various stages of a recommendation framework including preference elicitation, modeling, and delivery. Learn how machine learning techniques can be applied to process diverse preference signals such as consumptions, ratings, reviews, networks, and images to create more personalized and effective recommendation systems.

Towards AI-Aided Decision Making: Preference Learning and Recommendations from Multimodal Data