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cs.IR2023
On Modeling Long-Term User Engagement from Stochastic Feedback
Guoxi Zhang, Xing Yao, Xuanji Xiao
An ultimate goal of recommender systems (RS) is to improve user engagement. Reinforcement learning (RL) is a promising paradigm for this goal, as it directly optimizes overall perf…
cs.IR2020
NCS4CVR: Neuron-Connection Sharing for Multi-Task Learning in Video Conversion Rate Prediction
Xuanji Xiao, Huabin Chen, Yuzhen Liu +5
Click-through rate (CTR) and post-click conversion rate (CVR) predictions are two fundamental modules in industrial ranking systems such as recommender systems, advertising, and se…