… an overview and summary for the state of the art; and (iii) we … horizons of deep learning-based
recommender systems research… for recommender systems and deep neural networks, and …

… techniques to make recommendations, such as context-aware, multi-criteria RSs, deep learning,
and machine learning techniques… section sheds more light onto various RS techniques. …

… deep learning-based recommender systems. Third, we provide the possible research
directions of deep learning-based recommender systems … systems: A survey of the state-of-the-art …

… and recommender systems research. In this study, a comprehensive review of deep learning-…
of recommender systems. Also, we introduce basic concepts and terminology regarding …

… intensely review applications of deep learning techniques applied in recommender systems
field to … The main factors that promote deep learning as the state-of-the-art machine learning …

… deep learning techniques in the CF context for latent factor modelling. In this research,
authors … a systematic review focusing on state-of-the-art literature on deep learning techniques …

… on the state-of-the-art deep learning-based RS which include the application domains,
datasets and different metrics used for evaluating the performance of the deep learning-based …

… rec ommendation systems,deep learning have the … of recommender systems and deep
learning. Second, we present a complete overview of the current state of the art in deep learning…

… In this paper, we provide a comprehensive survey of the GNN-based knowledge-aware deep
recommender systems. Specifically, we discuss the state-of-the-art frameworks with a focus …