Deep Learning in Recommender Systems

Recommender systems have undertaken significant advances over the last years, evolving from collaborative filtering techniques to deep learning architectures capable of modeling complex and multimodal interactions [...]

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Publication Details

Journal
Future Internet
Published
2026-03-02
DOI
https://doi.org/10.3390/fi18030131
Primary Topic
Recommender Systems and Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Deep Learning in Recommender Systems

Tania Di Mascio, María N. Moreno-García
Future Internet
Recommender Systems and Techniques
article

Deep Learning in Recommender Systems

Tania Di Mascio, María N. Moreno-García
article en

Abstract

Recommender systems have undertaken significant advances over the last years, evolving from collaborative filtering techniques to deep learning architectures capable of modeling complex and multimodal interactions [...]

Future InternetVol. 18(3)
Universidad de Salamanca (ES)
Junta de Castilla y León
Industry, innovation and infrastructure
Openalex Percentile: Top 57%
Recommender Systems and Techniques
DOIOpen Access PDFOpenAlex
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Deep Learning in Recommender Systems — Tania Di Mascio, María N. Moreno-García · Future Internet (2026) | TGRS Research Map | TGRS