Next-generation recommender systems and their advanced applications

This tutorial presents state-of-the-art theories and approaches to equip the next-generation recommender systems (RS), i.e., the latest and most advanced RS, and their advanced applica- tions. First, we will present the background and foundations of RS, followed by the illustration of three typical theories and approaches for building various next-generation RS: (1) sequential or session-based RS, (2) graph learning based RS, and (3) interactive and conversational RS, together with their prototypes. Finally, we will demonstrate three representative emerging real-world applied cases of RS in fashion industry using artificial intelligence (FashionAI), financial industry using technology (FinTech), and healthcare.