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Jinlian Zhou1,2, Derong Shen3, Ying Guo4
1School of Computer Science and Engineering, Northeastern University, Shenyang, 110819, China. 543518214@qq.com.
本研究介绍了RKGnet,这是一种新的推系统框架,使用知识图和深度强化学习来克服冷启动问题并提高可解释性. 通过动态适应用户偏好,RKGnet提高了推的准确性和稳定性.
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