BriefGPT.xyz
Apr, 2023
利用口味集群学习实现可解释的协作过滤
Towards Explainable Collaborative Filtering with Taste Clusters Learning
HTML
PDF
Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu...
TL;DR
本文提出了一种基于可解释聚类学习的简洁而有效的 可解释协同过滤(ECF)模型,通过从用户-项目交互和项目画像中挖掘口感聚类来实现精确性和自解释性的双重目标,同时引入一种森林机制来确保模型的准确性、解释性和多样性。
Abstract
collaborative filtering
(CF) is a widely used and effective technique for
recommender systems
. In recent decades, there have been significant advancements in
→