Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication

Xu He
Xu He
Yanghua Li
Yanghua Li
Haikai Chen
Haikai Chen
Rundong Wang
Rundong Wang
Xinrun Wang
Xinrun Wang
Runsheng Yu
Runsheng Yu
Xin Li
Xin Li
Zhirong Wang
Zhirong Wang

RecSys, pp. 210-219, 2020.

Cited by: 0|Bibtex|Views24|DOI:https://doi.org/10.1145/3383313.3412233
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Other Links: arxiv.org|dblp.uni-trier.de|academic.microsoft.com

Abstract:

With the rise of online e-commerce platforms, more and more customers prefer to shop online. To sell more products, online platforms introduce various modules to recommend items with different properties such as huge discounts. A web page often consists of different independent modules. The ranking policies of these modules are decided ...More

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