The recommendation ecosystem involves interactions between recommender
s...
Sequential recommendation demonstrates the capability to recommend items...
Recommender systems are important for providing personalized services to...
Understanding the evolution of online news communities is essential for
...
In dynamic interaction graphs, user-item interactions usually follow
het...
The collaborative filtering (CF) problem with only user-item interaction...
Many Click-Through Rate (CTR) prediction works focused on designing adva...
Dynamic interaction graphs have been widely adopted to model the evoluti...
CTR prediction has been widely used in the real world. Many methods mode...
Emotion recognition in smart eyewear devices is highly valuable but
chal...
This work presents MemX: a biologically-inspired attention-aware eyewear...
Deep-learning-based video processing has yielded transformative results ...