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.
1 code implementation • 16 Mar 2021 • Jianqing Zhang, Dongjing Wang, Dongjin Yu
Especially, the attention mechanism in deep learning enables recommender systems to incorporate various features in an adaptive way.
Ranked #1 on Recommendation Systems on Amazon Product Data