Featured Hybrid Recommendation System Using Stochastic Gradient Descent

Featured Hybrid Recommendation System Using Stochastic Gradient Descent

Beside cold-start and sparsity, developing incremental algorithms emerge as interesting research to recommendation system in real-data environment. While hybrid system research is insufficient due to the complexity in combining various source of each single such as content-based or collaboration fil...

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Bibliographic Details
Main Authors: Si Thin Nguyen, Hyun Young Kwak, Si Young Lee, Gwang Yong Gim
Format: Article
Language:English
Published: Atlantis Press 2021-01-01
Series:International Journal of Networked and Distributed Computing (IJNDC)
Subjects:
Recommendation system
stochastic gradient
decent matrix factorization
content-based
collaborative filtering
incremental learning
Online Access:https://www.atlantis-press.com/article/125950416/view

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