is a personalized information filtering framework designed to identify and present a bundle of items that best match an individual user’s preferences. During my Master's course, I conducted research on MLP based latent factor models.

is a deep learning framework designed to model epistemic uncertainty associated with a single reference. During my Master's course, I explored how Bayesian deep learning can be applied to handle preference uncertainty in implicit feedback data @ recommendation.