Bayesian filtering provides a principled framework for estimating the hidden dynamics of a system from noisy or incomplete observations. At its core lies the recursive computation of a posterior ...

Collaborative filtering is a cornerstone of personalised recommendation, leveraging patterns of user behaviour to predict preferences. Traditional memory-based approaches compute similarities between ...