Wang-Cheng Kang

Self-Attentive Sequential Recommendation

2018 · arXiv (Cornell University)

Sequential dynamics are a key feature of many modern recommender systems, which seek to capture the `context' of users' activities on the basis of actions they have performed recently. To capture such patterns, two approaches …

Translation-based Recommendation

2017

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 predicting users' personalized sequential behavior (or 'next-item' recommendation), …