Keito Kozaki

Keito Kozaki

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

Revisiting the Role of Learned Attention Weighting in SASRec

Published in International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2026

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

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Recommended citation: Keito Kozaki, Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama. (2026). "Revisiting the Role of Learned Attention Weighting in SASRec." Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp. 3894-3899.