Search Results for author: Kei Harada

Found 2 papers, 0 papers with code

A Completely Locale-independent Session-based Recommender System by Leveraging Trained Model

no code implementations11 Oct 2023 Yu Tokutake, Chihiro Yamasaki, Yongzhi Jin, Ayuka Inoue, Kei Harada

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).

Product Recommendation Recommendation Systems +2

AIREX: Neural Network-based Approach for Air Quality Inference in Unmonitored Cities

no code implementations16 Aug 2021 Yuya Sasaki, Kei Harada, Shohei Yamasaki, Makoto Onizuka

Since existing methods aim to infer air quality of locations only in monitored cities, they do not assume inferring air quality in unmonitored cities.

Air Quality Inference

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