I am a recommendation algorithm engineer at Tencent, focusing on Recommendation Algorithms and Reinforcement Learning. Our team has lots of practical experience in RS (Recommendation System) and has also published several papers of high practical value. Welcome to exchange ideas. We can communicate via email (liupengvswww@gmail.com or liupengvswww@163.com)

Some of the publicly disclosed innovative work is as follows:

1. Enhancing User Interest based on Stream Clustering and Memory Networks in Large-Scale RSs

https://arxiv.org/abs/2405.13238
This work was proposed and has been deployed in multiple large-scale RSs at Tencent since 2022.
It was make public on Tue, 21 May 2024

2. An Offline Reinforcement Learning Algorithm Customized for Multi-Task Fusion in Large-Scale RSs

https://arxiv.org/abs/2404.17589
This work was proposed in 2023 and has been deployed in several large-scale RSs at Tencent since July 2023.
It was made public on Friday, April 19, 2024.

3. An Enhanced-State Reinforcement Learning Algorithm for Multi-Task Fusion in Large-Scale RSs

https://arxiv.org/abs/2409.11678
This work was proposed in 2023 and has been deployed in large-scale RSs at Tencent since September 14, 2023.
It was made public on Wed, September 18, 2024.