An adaptive deep learning method for item 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/96072/; http://dx.doi.org/10.1016/j.knosys.2020.106681
• Institution: Universiti Teknologi Malaysia

For many years user textual reviews have been exploited to model user/item representations for enhancing the performance of the Recommender System (RS). However, the traditional methods of the RSs basically rely on the static user/item feature vectors and ignore the fine-grained user–item interactio...