1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.IR2023★ 1 cited
Cross-domain Augmentation Networks for Click-Through Rate Prediction
Xu Chen, Zida Cheng, Shuai Xiao +2
Data sparsity is an important issue for click-through rate (CTR) prediction, particularly when user-item interactions is too sparse to learn a reliable model. Recently, many works…
cs.AI2023
Tile Networks: Learning Optimal Geometric Layout for Whole-page Recommendation
Shuai Xiao, Zaifan Jiang, Shuang Yang
Finding optimal configurations in a geometric space is a key challenge in many technological disciplines. Current approaches either rely heavily on human domain expertise and are d…
cs.AI2023
Model-based Constrained MDP for Budget Allocation in Sequential Incentive Marketing
Shuai Xiao, Le Guo, Zaifan Jiang +4
Sequential incentive marketing is an important approach for online businesses to acquire customers, increase loyalty and boost sales. How to effectively allocate the incentives so…