Temporal Positive Collective Matrix Factorization for Interpretable Trend Analysis in Recommender Systems - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Tomofumi Hara, Yuki Sumiya, Kazuhide Nakata. Temporal Positive Collective Matrix Factorization for Interpretable Trend Analysis in Recommender Systems. In Jihe Wang, Yi He 0007, Thang N. Dinh, Christan Grant, Meikang Qiu, Witold Pedrycz, editors, IEEE International Conference on Data Mining, ICDM 2023 - Workshops, Shanghai, China, December 4, 2023. pages 24-30, IEEE, 2023. [doi]

This author has not been identified. Look up 'Tomofumi Hara' in GoogleThis author has not been identified. Look up 'Yuki Sumiya' in GoogleThis author has not been identified. Look up 'Kazuhide Nakata' in Google

runs on WebDSL