今天跟大家分享一篇比较有意思的文章，将逻辑推理的思路应用在推荐系统中，一起来看下吧。

Applying reinforcement learning (RL) in recommender systems is attractive but costly due to the constraint of the interaction with

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在前段时间的风波中，TikTok 的推荐算法一度成为大家争相讨论的话题中心。但在前亚马逊产品经理（同时也是亚马逊战略规划部第一位分析师）Eugene Wei 看来，TikTok 的算法本身并没有特别的突破性创意，TikTok 产品真正的价值点...

Abstract Reinforcement learning (RL) has recently been introduced to interactive recommender systems (IRS) because of its nature of learning from dynamic intera...

With the recent prevalence of Reinforcement Learning (RL), there have been tremendous interests in utilizing RL fo

With the recent advances in Reinforcement Learning (RL),there have been tremendous interests in employing RL fo recommender systems. However, directly training ...

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With the recent prevalence of Reinforcement Learning (RL), there have been tremendous interests in developing RL-based recommender systems.

In this paper, we propose a novel Deep Reinforcement Learning framework for news recommendation.