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Bayesian Prior Learning via Neural Networks for Next-item Recommendation
We model the next item prediction problem using the Bayesian framework and capture the probability of appearance of a sequence through the posterior mean of the Beta distribution.
How Much Are You Willing to Share? A "Poker-Styled" Selective Privacy Preserving Framework for Recommender Systems
Most industrial recommender systems rely on the popular collaborative filtering (CF) technique for providing personalized recommendations to its users.
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