FinalMLP: an enhanced two-stream MLP model for CTR prediction
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 …
recommendation. Multi-layer perceptron (MLP) serves as a core component in many deep …
Bars: Towards open benchmarking for recommender systems
The past two decades have witnessed the rapid development of personalized
recommendation techniques. Despite the significant progress made in both research and …
recommendation techniques. Despite the significant progress made in both research and …
BaGFN: broad attentive graph fusion network for high-order feature interactions
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 …
multifiled sparse data. At present, a series of state-of-the-art methods extract cross features …