Multi-level attentive deep user-item representation learning for recommendation system

• Main Authors: Da'u, Aminu, Salim, Naomie, Idris, Rabiu
• Format: Article
• Published: Elsevier B.V. 2021
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/95815/; http://dx.doi.org/10.1016/j.neucom.2020.12.043
• Institution: Universiti Teknologi Malaysia

With the development of e-commerce platforms, user reviews have become a vital source of information to address the sparsity problems for enhancing the predictive performance of the recommendation systems (RSs). However, the traditional methods of the RSs used to model user/item latent features base...