Jingyue Gao

Explainable Recommendation through Attentive Multi-View Learning

2019 · Proceedings of the AAAI Conference on Artificial Intelligence

Recommender systems have been playing an increasingly important role in our daily life due to the explosive growth of information. Accuracy and explainability are two core aspects when we evaluate a recommendation model and have …

U-BERT: Pre-training User Representations for Improved Recommendation

2021 · Proceedings of the AAAI Conference on Artificial Intelligence

Learning user representation is a critical task for recommendation systems as it can encode user preference for personalized services. User representation is generally learned from behavior data, such as clicking interactions and review comments. However, …