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cs.LG2025
Interestingness First Classifiers
Ryoma Sato
Most machine learning models are designed to maximize predictive accuracy. In this work, we explore a different goal: building classifiers that are interesting. An ``interesting cl…
cs.IR2025
Solving the Cold Start Problem on One's Own as an End User via Preference Transfer
Ryoma Sato
We propose a new approach that enables end users to directly solve the cold start problem by themselves. The cold start problem is a common issue in recommender systems, and many m…