BriefGPT.xyz
Aug, 2021
DSKReG:可微分的知识图谱采样与关系图神经网络推荐
DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN
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Yu Wang, Zhiwei Liu, Ziwei Fan, Lichao Sun, Philip S. Yu
TL;DR
本文提出了基于知识图谱的可区分采样技术(DSKReG),用于解决推荐系统中的冷启动问题,并在实验中证明了其优于现有技术的表现。
Abstract
In the information explosion era,
recommender systems
(RSs) are widely studied and applied to discover user-preferred information. A RS performs poorly when suffering from the
cold-start issue
, which can be allev
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