Keito Kozaki

Keito Kozaki

First-year master's student working on recommender systems, with an interest in interpreting model internals and datasets.

SSM-Based Sequential Recommendation Considering Short-Term Dependencies of Time and Adjacency

Published in IEEE Global Conference on Consumer Electronics (GCCE), 2025

Keito Kozaki, Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama

Recommended citation: Keito Kozaki, Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama. (2025). "SSM-Based Sequential Recommendation Considering Short-Term Dependencies of Time and Adjacency." Proceedings of the IEEE Global Conference on Consumer Electronics (GCCE), pp. 1271-1274.