Local Variational Feature-Based Similarity Models for Recommending Top- N New Items

The top-N recommendation problem has been studied extensively. Item-based collaborative filtering recommendation algorithms show promising results for the problem. They predict a user’s preferences by estimating similarities between a target and user-rated items. Top-N recommendation remains a challenging task in scenarios where there is ...More