Hisashi Kashima

Budgeted stream-based active learning via adaptive submodular maximization

2016 · Neural Information Processing Systems

Active learning enables us to reduce the annotation cost by adaptively selecting unlabeled instances to be labeled. For pool-based active learning, several effective methods with theoretical guarantees have been developed through maximizing some utility function …

Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario

2017

Item cold-start is a classical issue in recommender systems that affects anime and manga recommendations as well. This problem can be framed as follows: how to predict whether a user will like a manga that …