Product collaborative filtering based recommendation systems for large-scale E-commerce

•E-commerce demands multi-choice products, challenging businesses.•Recommender systems reshape E-commerce with personalized experiences.•Scalability is a pressing issue for recommendation systems.•Parallel techniques tackle scalability challenges in E-commerce.•Apache Spark accelerates training time...

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Veröffentlicht in:	International journal of information management data insights Jg. 5; H. 1; S. 100322
Hauptverfasser:	Trinh, Trang, Nguyen, Van-Ho, Nguyen, Nghia, Nguyen, Duy-Nghia
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.06.2025 Elsevier
Schlagworte:	Apache spark Collaborative filtering E-commerce Large-scale Parallel and distributed computing Recommendation systems Recommendation systems E-commerce Parallel and distributed computing Collaborative filtering Apache spark Large-scale
ISSN:	2667-0968, 2667-0968
Online-Zugang:	Volltext
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