Collaborative filtering methods for recommender systems tend to represent users as a single static latent vector. However. user behavior and interests may dynamically change in the context of the recommended item being presented to the user. For example. https://yemwjhaxce3b0.aioblogs.com/87843220/transient-third-degree-atrioventricular-block-during-anaesthesia-in-a-cat