Kai Sugahara

According to our database, Kai Sugahara authored at least 5 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Function-based labels for complementary recommendation: Definition, annotation, and LLM-as-a-Judge.

Chihiro Yamasaki, Kai Sugahara, Yuma Nagi, Kazushi Okamoto

Pattern Recognit. Lett., 2026

2025

Knowledge-Augmented Relation Learning for Complementary Recommendation with Large Language Models.

Chihiro Yamasaki, Kai Sugahara, Kazushi Okamoto

CoRR, September, 2025

2024

Hierarchical matrix factorization for interpretable collaborative filtering.

Kai Sugahara, Kazushi Okamoto

Pattern Recognit. Lett., 2024

Is It Really Complementary? Revisiting Behavior-based Labels for Complementary Recommendation.

Kai Sugahara, Chihiro Yamasaki, Kazushi Okamoto

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2023

Hierarchical co-clustering with augmented matrices from external domains.

Kai Sugahara, Kazushi Okamoto

Pattern Recognit., October, 2023