2 papers
cs.IR2025
Similarity-Based Supervised User Session Segmentation Method for Behavior Logs
Yongzhi Jin, Kazushi Okamoto, Kei Harada +2
In information recommendation, a session refers to a sequence of user actions within a specific time frame. Session-based recommender systems aim to capture short-term preferences…
cs.IR2023
A Completely Locale-independent Session-based Recommender System by Leveraging Trained Model
Yu Tokutake, Chihiro Yamasaki, Yongzhi Jin +2
In this paper, we propose a solution that won the 10th prize in the KDD Cup 2023 Challenge Task 2 (Next Product Recommendation for Underrepresented Languages/Locales). Our approach…