FinalMLP: an enhanced two-stream MLP model for CTR prediction

K Mao, J Zhu, L Su, G Cai, Y Li, Z Dong - Proceedings of the AAAI …, 2023 - ojs.aaai.org
Click-through rate (CTR) prediction is one of the fundamental tasks in online advertising and
recommendation. Multi-layer perceptron (MLP) serves as a core component in many deep …

Bars: Towards open benchmarking for recommender systems

J Zhu, Q Dai, L Su, R Ma, J Liu, G Cai, X **ao… - Proceedings of the 45th …, 2022 - dl.acm.org
The past two decades have witnessed the rapid development of personalized
recommendation techniques. Despite the significant progress made in both research and …

BaGFN: broad attentive graph fusion network for high-order feature interactions

Z **e, W Zhang, B Sheng, P Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Modeling feature interactions is of crucial significance to high-quality feature engineering on
multifiled sparse data. At present, a series of state-of-the-art methods extract cross features …