2.9k citations · 5.1k across the 15 of their papers we have counts for
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cs.IR2017★ 14 cited
SPMC: Socially-Aware Personalized Markov Chains for Sparse Sequential Recommendation
Chenwei Cai, Ruining He, Julian McAuley
Dealing with sparse, long-tailed datasets, and cold-start problems is always a challenge for recommender systems. These issues can partly be dealt with by making predictions not in…
cs.IR2017★ 437 cited
Translation-based Recommendation
Ruining He, Wang-Cheng Kang, Julian McAuley
Modeling the complex interactions between users and items as well as amongst items themselves is at the core of designing successful recommender systems. One classical setting is p…