A transformer-based architecture for collaborative filtering modeling in personalized recommender systems

A transformer-based architecture for collaborative filtering modeling in personalized recommender systems

Abstract Recommender systems are considered powerful tools, in the modern era, for filtering a huge amount of information and delivering personalized content, particularly in domains like e-commerce, social media, and entertainment. In the context of movie recommendations, accurately modeling user p...

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Bibliographic Details
Main Authors: Hikmat Ullah Khan, Anam Naz, Fawaz Khaled Alarfaj, Naif Almusallam
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Artificial intelligence
Deep learning
Recommender systems
Collaborative filtering
Personalization
Online Access:https://doi.org/10.1038/s41598-025-08931-1
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https://doi.org/10.1038/s41598-025-08931-1

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