Low-cost Training of Search Engines
Search engines often require large-scale training data to improve their services. My Ph.D. dissertation at UMass (expected to finish in Summer 2017) studies automatic methods for generating such training data using public and unlabeled corpora. The proposed techniques make it possible to train cutting-edge retrieval techniques without Google-scale data.
Low-cost Evaluation of User Experience
I develop techniques to evaluate user experience in search and other systems automatically in real-time based on behavioral signals and user modeling. My work has been applied to evaluate user satisfaction with Bing and Microsoft Cortana.
Interactive Search Behavior & Systems
I study human behavior in different types of search systems based on search logs or laboratory user studies. I also design intelligent interactive search systems to cope with users and their search behavior.
Scholarly Data Analytics
I study techniques to help scientists and scholars better access and use academic information. I also collaborate with scholars in Informetrics and Science & Technology Studies to examine the communications among scholars and disciplines based on formal and informal scholarly activities.