6 papers
DivNet: Diversity-Aware Self-Correcting Sequential Recommendation Networks
Shuai Xiao, Zaifan Jiang
As the last stage of a typical \textit{recommendation system}, \textit{collective recommendation} aims to give the final touches to the recommended items and their layout so as to…
Preference as Reward, Maximum Preference Optimization with Importance Sampling
Zaifan Jiang, Xing Huang, Chao Wei
Preference learning is a key technology for aligning language models with human values. Reinforcement Learning from Human Feedback (RLHF) is a model-based algorithm to optimize pre…
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…
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…
Multi-Scale User Behavior Network for Entire Space Multi-Task Learning
Jiarui Jin, Xianyu Chen, Weinan Zhang +5
Modelling the user's multiple behaviors is an essential part of modern e-commerce, whose widely adopted application is to jointly optimize click-through rate (CTR) and conversion r…
Who to Watch Next: Two-side Interactive Networks for Live Broadcast Recommendation
Jiarui Jin, Xianyu Chen, Yuanbo Chen +5
With the prevalence of live broadcast business nowadays, a new type of recommendation service, called live broadcast recommendation, is widely used in many mobile e-commerce Apps.…