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Nov, 2023
面向推荐系统的偏好和并发感知贝叶斯图神经网络
Preference and Concurrence Aware Bayesian Graph Neural Networks for Recommender Systems
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Hongjian Gu, Yaochen Hu, Yingxue Zhang
TL;DR
我们提出了一个高效的生成模型，同时考虑用户偏好、物品的共现以及一些重要的图结构信息，以解决推荐系统中的问题。通过在四个常用基准数据集上进行实验证明了我们提出的图生成方法在推荐系统中的有效性。
Abstract
graph-based collaborative filtering
methods have prevailing performance for
recommender systems
since they can capture high-order information between users and items, in which the graphs are constructed from the
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