Active Collaborative Filtering using Bayesian Networks

Collaborative filtering (CF) is a class of methods to produce personalized recommendations that have obtained wides-
pread adoption in electronic commerce websites. While the most popular methods are based on matrix factorization,
recently Langseth and Nielsen (2012) have provided a probabilistic method for collaborative filtering, offering the
advantage of measuring the uncertainty with respect to the acquired model.