3 papers
cs.IR2021
Co-Factorization Model for Collaborative Filtering with Session-based Data
Binh Nguyen, Atsuhiro Takasu
Matrix factorization (MF) is a common method for collaborative filtering. MF represents user preferences and item attributes by latent factors. Despite that MF is a powerful method…
cs.IR2018
NPE: Neural Personalized Embedding for Collaborative Filtering
ThaiBinh Nguyen, Atsuhiro Takasu
Matrix factorization is one of the most efficient approaches in recommender systems. However, such algorithms, which rely on the interactions between users and items, perform poorl…
cs.IR2018
Collaborative Item Embedding Model for Implicit Feedback Data
ThaiBinh Nguyen, Kenro Aihara, Atsuhiro Takasu
Collaborative filtering is the most popular approach for recommender systems. One way to perform collaborative filtering is matrix factorization, which characterizes user preferenc…