Search Results for author:
Found 3 papers, 0 papers with code
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.
motif2vec: Motif Aware Node Representation Learning for Heterogeneous Networks
Supervised machine learning tasks in networks such as node classification and link prediction require us to perform feature engineering that is known and agreed to be the key to success in applied machine learning.
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.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
