How Serendipity Improves User Satisfaction with Recommendations? A Large-Scale User Evaluation. - Li Chen 009; Yonghua Yang; Ningxia Wang; Keping Yang; Quan Yuan (WWW, 2019)

The Impacts of Item Features and User Characteristics on Users' Perceived Serendipity of Recommendations. - Ningxia Wang; Li Chen 009; Yonghua Yang (UMAP, 2020)

User Bias in Beyond-Accuracy Measurement of Recommendation Algorithms. - Ningxia Wang; Li Chen 009 (RecSys, 2021)

TUR: Utilizing Temporal Information to Make Unexpected E-Commerce Recommendations. - Yongxin Ni; Ningxia Wang; Li Chen 009; Rui Chen 012; Lei Li 042 (WISE, 2022)

How do item features and user characteristics affect users' perceptions of recommendation serendipity? A cross-domain analysis. - Ningxia Wang; Li Chen (User Model. User Adapt. Interact., 2023)

Correction to: How do item features and user characteristics affect users' perceptions of recommendation serendipity? A cross-domain analysis. - Ningxia Wang; Li Chen (User Model. User Adapt. Interact., 2023)