Parhamam Moradi

A Heterogeneous Information Network with an Attention Mechanism for Improving Recommender Systems

This manuscript introduces a novel attention-based recommender system that leverages heterogeneous information networks (HINs) to extract user and item representations and utilizes a matrix factorization framework to model interactions between users and items with the aim of predicting the ratings of users on items.