This workshop investigates the integration of temporal dynamics into recommender systems, spanning diverse sectors like e-commerce, fashion, banking, travel, and film.
The main purpose of this workshop is to unite experts and practitioners to examine the challenges of embedding time into user modeling and recommender systems, aiming to deliver pertinent recommendations through the adept representation and analysis of temporal data.
The workshop will showcase recent developments in temporal recommender systems. Focusing on temporal elements, from user profiling to the crafting of recommendation algorithms, the workshop presents a special chance to address the distinct challenges associated with time.