25 citations · 51 across the 7 of their papers we have counts for
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cs.IR2020★ 25 cited
A Survey on Knowledge Graph-Based Recommender Systems
Qingyu Guo, Fuzhen Zhuang, Chuan Qin +4
To solve the information explosion problem and enhance user experience in various online applications, recommender systems have been developed to model users preferences. Although…
cs.IR2019★ 3 cited
Multi-Scale Quasi-RNN for Next Item Recommendation
Chaoyue He, Yong Liu, Qingyu Guo +1
How to better utilize sequential information has been extensively studied in the setting of recommender systems. To this end, architectural inductive biases such as Markov-Chains,…