As mobile has become a big part of our everyday life, it is important to investigate how to optimize users’ mobile interaction experience. In this talk, I will describe my research on automatically optimizing mobile user interactions with data-driven approaches. The talk focuses on my two approaches to address the deficiency in existing interactions: the first approach optimizes user interaction with faceted browsing by leveraging search log data, the second approach optimizes user interaction with security permission requests by leveraging mobile-appstore data. Finally, I will conclude the talk with multiple lines of my future work in the intersections of data mining, information retrieval, security, mobile computing, and software engineering.
Xueqing Liu is a Ph.D. candidate in Computer Science at the University of Illinois Urbana Champaign, where she works with Professors ChengXiang Zhai and Tao Xie. She received her B.S. degree from the Special Pilot CS Class (directed by Prof. Andrew Yao) at Tsinghua University. Her research interests are interdisciplinary with the general goal of leveraging "big data" to develop new algorithms for the improvement of user experiences. She has published in multiple topic areas including data mining, software engineering, security and information retrieval.