R&D Engineer in Data Mining Group working on Funshion Video Recommendation System
My research interest lies at the intersection of recommender systems, machine learning and human-computer interaction. My research goal is to bring human factors into the awareness of the algorithms used by data-driven predictive systems, e.g. cognitive factors of both high-level decision making, task-specific and contextualized information needs and lower-level perception and attention. Currently, my research focuses on the user-centric evaluation of interactive machine learning algorithms in recommender systems, such as online learning, bandits and reinforcement learning.