Chenyang Wang

Unbiased offline recommender evaluation for missing-not-at-random implicit feedback

2018

Implicit-feedback Recommenders (ImplicitRec) leverage positive only user-item interactions, such as clicks, to learn personalized user preferences. Recommenders are often evaluated and compared offline using datasets collected from online platforms. These platforms are subject to popularity …

Jointly Learning Explainable Rules for Recommendation with Knowledge Graph

2019

Explainability and effectiveness are two key aspects for building recommender systems. Prior efforts mostly focus on incorporating side information to achieve better recommendation performance. However, these methods have some weaknesses: (1) prediction of neural network-based …

An Efficient Adaptive Transfer Neural Network for Social-aware Recommendation

2019

Many previous studies attempt to utilize information from other domains to achieve better performance of recommendation. Recently, social information has been shown effective in improving recommendation results with transfer learning frameworks, and the transfer part …