GBPR: Group Preference Based Bayesian Personalized Ranking for One-Class Collaborative Filtering
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- 摘要
- 解决方案
- Group Bayesian Personalized Ranking
摘要
在BPR方法中有两个基本假设可能不总是成立的：（1）两个用户之间彼此独立（2）对个体而言，两个产品的成对偏好。基于此这篇文章提出一种新的改进的假设：引入用户之间丰富的交互作用，所提方法为group Bayesian personalized ranking (GBPR)。作者引入了“群偏好”的概念，来放松之前提到的个体性假设和独立性假设。
作者认为即使用户对产品
解决方案
Group Bayesian Personalized Ranking
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