2 code implementations • 10 Apr 2024 • Xinfeng Wang, Fumiyo Fukumoto, Jin Cui, Yoshimi Suzuki, Dongjin Yu
In this paper, we propose a negative feedback-aware recommender model (NFARec) that maximizes the leverage of negative feedback.
1 code implementation • 10 Apr 2024 • Xinfeng Wang, Fumiyo Fukumoto, Jin Cui, Yoshimi Suzuki, Jiyi Li, Dongjin Yu
To tackle the skewed distribution, we propose two strategies for disentangling interactions: (1) modeling individual biases to learn unbiased item embeddings, and (2) incorporating item popularity with positional encoding.
no code implementations • 15 Mar 2024 • Jin Cui, Fumiyo Fukumoto, Xinfeng Wang, Yoshimi Suzuki, Jiyi Li, Noriko Tomuro, Wanzeng Kong
To address the issue of multiple aspect categories and sentiment entanglement, we propose a hierarchical disentanglement module to extract distinct categories and sentiment features.
no code implementations • LREC 2020 • Jiajun Xu, Kyosuke Masuda, Hiromitsu Nishizaki, Fumiyo Fukumoto, Yoshimi Suzuki
Therefore, this paper proposes a method of creating a semi-automatically constructed emotion corpus.