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12/16/2020
Scenario-aware and Mutual-based approach for Multi-scenario Recommendation in E-Commerce
Recommender systems (RSs) are essential for e-commerce platforms to help...
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03/25/2020
Validation Set Evaluation can be Wrong: An Evaluator-Generator Approach for Maximizing Online Performance of Ranking in E-commerce
Learning-to-rank (LTR) has become a key technology in E-commerce applica...
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03/25/2020
Beyond the Ground-Truth: An Evaluator-Generator Framework for Group-wise Learning-to-Rank in E-Commerce
Learning-to-rank (LTR) has become a key technology in E-commerce applica...
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11/18/2018
Policy Optimization with Model-based Explorations
Model-free reinforcement learning methods such as the Proximal Policy Op...
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07/19/2018
Selective Zero-Shot Classification with Augmented Attributes
In this paper, we introduce a selective zero-shot classification problem...
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07/02/2018
Speeding up the Metabolism in E-commerce by Reinforcement Mechanism Design
In a large E-commerce platform, all the participants compete for impress...
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05/25/2018
Virtual-Taobao: Virtualizing Real-world Online Retail Environment for Reinforcement Learning
Applying reinforcement learning in physical-world tasks is extremely cha...
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03/02/2018