Graph-Augmented Transformer Framework for Context-Aware Recommender Systems on Amazon E-Commerce Data

Recommender systems play a pivotal role in enhancing user experience and driving engagement across e-commerce platforms. However, traditional approaches such as collaborative filtering and matrix factorisation often struggle with sparse user-item interactions and fail to capture contextual nuances....

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Autori principali:	Mohamed Badouch, Es-said Boulmane, Mehdi Boutaounte, Hasna Mahmoud
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	UUM Press 2026-04-01
Serie:	Journal of ICT
Soggetti:	Recommender systems graph neural networks context-aware recommendation cold-start problem e-commerce
Accesso online:	https://e-journal.uum.edu.my/index.php/jict/article/view/28719
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