41 citations · 149 across the 34 of their papers we have counts for
4 papers · 1 filter
SimCGNN: Simple Contrastive Graph Neural Network for Session-based Recommendation
Yuan Cao, Xudong Zhang, Fan Zhang +5
Session-based recommendation (SBR) problem, which focuses on next-item prediction for anonymous users, has received increasingly more attention from researchers. Existing graph-bas…
SUPER-Rec: SUrrounding Position-Enhanced Representation for Recommendation
Taejun Lim, Siqu Long, Josiah Poon +1
Collaborative filtering problems are commonly solved based on matrix completion techniques which recover the missing values of user-item interaction matrices. In a matrix, the rati…
GLocal-K: Global and Local Kernels for Recommender Systems
Soyeon Caren Han, Taejun Lim, Siqu Long +2
Recommender systems typically operate on high-dimensional sparse user-item matrices. Matrix completion is a very challenging task to predict one's interest based on millions of oth…
A Survey on Extraction of Causal Relations from Natural Language Text
Jie Yang, Soyeon Caren Han, Josiah Poon
As an essential component of human cognition, cause-effect relations appear frequently in text, and curating cause-effect relations from text helps in building causal networks for…