Multi-Modality Recommender Systems: A Review
Sorabh Gupta, Amit Kumar Bindal · 2022
Deep learning research in the area of recommender systems is still in its infancy. A recommendation system's primary goal is to establish connections between users and objects in order to recognize the products that are most suitable for a particular user. The four basic methods used by recommender systems to generate a user's list of recommendations are content-based, collaborative, demographic, and hybrid filtering. This study provides an overview of multi-modality recommendation systems, including its methods and difficulties.