List of Publications

PhD Dissertation

  • Nov 2023: Yu Liang, Supporting Personalized Music Exploration through a Genre Exploration Recommender [PDF]

Journal Paper

  • August 2022: Yu Liang and Martijn C. Willemsen, Promoting Music Exploration through Personalized Nudging in a Genre Exploration Recommender, International Journal of Human-Computer Interaction [PDF]

Conference Paper

  • March, 2023: Yu Liang, Aditya Ponnada, Nediyana Daskalova and Paul Lamere, Enabling Goal-Focused Exploration of Podcasts in Interactive Recommender Systems, 28th International Conference on Intelligent User Interfaces [PDF]
    In collaboration with Spotify Research
  • September, 2022: Yu Liang and Martijn C. Willemsen, Exploring the longitudinal effects of nudging on users’ music genre exploration behavior and listening preferences, 16th ACM Conference on Recommender Systems [Slides] [PDF]
    🏆 Best Student Paper Award
  • September, 2021: Yu Liang and Martijn C. Willemsen, The role of preference consistency, defaults and musical expertise in users’ exploration behavior in a genre exploration recommender, 15th ACM Conference on Recommender Systems [Slides] [PDF] [Demo]
  • April, 2021: Yu Liang and Martijn C. Willemsen, Interactive Music Genre Exploration with Visualization and Mood Control, 26th International Conference on Intelligent User Interfaces [Slides] [PDF]
  • Sept, 2019: Yu Liang, Recommender system for developing new preferences and goal, 13th ACM Conference on Recommender Systems [PDF]
  • June, 2019: Yu Liang and Martijn C. Willemsen, Personalized recommendations for music genre exploration, 27th ACM Conference on User Modeling, Adaptation and Personalization [PDF]

Workshop Paper

  • Sept, 2019: Sophia Hadash, Yu Liang, and Martijn C Willemsen, How playlist evaluation compares to track evaluations in music recommender systems, 6th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 13th ACM Conference on Recommender Systems [PDF]
  • Sept, 2017: Yu Liang, Babak Loni and Martha Larson, CLEF NewsREEL 2017: contextual bandit news recommendation, Conference and Labs of the Evaluation Forum 2017 NewsREEL Workshop[PDF]