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cs.IR2024
Overhead-free User-side Recommender Systems
Ryoma Sato
Traditionally, recommendation algorithms have been designed for service developers. But recently, a new paradigm called user-side recommender systems has been proposed. User-side r…
cs.LG2024
Training-free Graph Neural Networks and the Power of Labels as Features
Ryoma Sato
We propose training-free graph neural networks (TFGNNs), which can be used without training and can also be improved with optional training, for transductive node classification. W…
cs.IR2024
User-Side Realization
Ryoma Sato
Users are dissatisfied with services. Since the service is not tailor-made for a user, it is natural for dissatisfaction to arise. The problem is, that even if users are dissatisfi…