28 citations · 68 across the 18 of their papers we have counts for
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cs.IR2018★ 1 cited
Learning Representations from Product Titles for Modeling Shopping Transactions
Binh Nguyen, Atsuhiro Takasu
Shopping transaction analysis is important for understanding the shopping behaviors of customers. Existing models such as association rules are poor at modeling products that have…
cs.IR2018★ 4 cited
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…