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Nov, 2019
多组分图卷积协同过滤
Multi-Component Graph Convolutional Collaborative Filtering
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Xiao Wang, Ruijia Wang, Chuan Shi, Guojie Song, Qingyong Li
TL;DR
研究了协同过滤方法中用户和商品之间的图模型,提出了一种新的多组件图卷积协同过滤算法(MCCF),旨在区分观察到的显式用户-商品交互背后的购买动机。该算法通过分解和组合两个模块,设计了一种新的方式以获得对用户消费行为的高精度预测,实验结果表明,该算法不仅在三个真实数据集上表现优异,而且还证明了考虑多个组件的必要性。
Abstract
The interactions of users and items in
recommender system
could be naturally modeled as a user-item bipartite graph. In recent years, we have witnessed an emerging research effort in exploring
user-item graph
for
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