Data Intelligence and Learning (DIAL) lab is primarily interested in (1) recommendation systems, (2) information retrieval, (3) data mining, (4) natural language processing, and (5) machine learning algorithms. Specifically, our research aims at improving user personalization by developing core models and algorithms on Web applications such as recommendation systems and search engines. Also, we study developing more sophisticated machine learning models that effectively learn noisy and biased data. Over the past three years, we published several papers in top-tier international conferences (e.g., WWW, ICDM, CIKM, WSDM, NAACL, and CVPR) in data mining, natural language processing, and machine learning research areas.