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Deep Learning-Based Context-Aware Recommender System Considering Contextual Features
2021
Applied Sciences
A context-aware recommender system can make recommendations to users by considering contextual information such as time and place, not only the scores assigned to items by users. However, as a user preferences matrix is expanded in a multidimensional matrix, data sparsity is maximized. In this paper, we propose a deep learning-based context-aware recommender system that considers the contextual features. Based on existing deep learning models, we combine a neural network and autoencoder to
doi:10.3390/app12010045
fatcat:si2xy6qdujbhnhrkwqhmcpzo6u