Keito Kozaki

Keito Kozaki

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

Diagnosing Lexical Text-Anchor Retrievability in Sequential Recommendation Benchmarks

Published in ACM International Conference on Information and Knowledge Management (CIKM), 2026

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

Recommended citation: Keito Kozaki, Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama. (2026). "Diagnosing Lexical Text-Anchor Retrievability in Sequential Recommendation Benchmarks." Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM).