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March 2, 2026Future InternetOpen Access

Deep Learning in Recommender Systems

María N. Moreno-García Tania Di Mascio

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Key Points

This research aims to evaluate advancements in deep learning techniques for recommender systems.
Examined various deep learning architectures
Compared with traditional collaborative filtering techniques
Analyzed multimodal interaction models
Deep learning architectures outperform traditional filtering methods
Improved modeling of user preferences and content
Enhanced ability to process complex, multimodal data

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Implication

Deep learning demonstrates improved performance in recommender systems, indicating enhanced user experience.

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Cite This Study

Moreno-García et al. (2026) studied this question.

synapsesocial.com/papers/69a7ccb2d48f933b5eed8754 https://doi.org/10.3390/fi18030131

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