Serendipity-Oriented Recommender System with Dynamic Unexpectedness Prediction. - Yu Tokutake; Kazushi Okamoto (SMC, 2023)

A Completely Locale-independent Session-based Recommender System by Leveraging Trained Model. - Yu Tokutake; Chihiro Yamasaki; Yongzhi Jin; Ayuka Inoue; Kei Harada (CoRR, 2023)

Solution to the Personalized Accommodation Review Ranking Task via Tabular Data Approach. - Yu Tokutake (RecTour@RecSys, 2024)

Can Large Language Models Assess Serendipity in Recommender Systems? - Yu Tokutake; Kazushi Okamoto (J. Adv. Comput. Intell. Intell. Informatics, 2024)