About Me

Daniel Xiaodan Zhou

I am Daniel Zhou (周晓丹), a 5th year PhD student at the University of Michigan School of Information. My advisor is Paul Resnick.

My broad interest is to apply cutting-edge computing technologies to study and solve social problems, and my areas of interest are recommender systems, machine learning, human computation, social media, and China study. Currently, I'm working on the following research/development projects (more details in Professional).

  • Recommender systems. I'm studying how to make Drupal module recommendations through conversation co-mentions, and use multi-armed-bandit algorithm to balance exploration and exploitation in recommendation. Read more...

  • Drupal development. Developing Drupal modules and websites is my hobby. I developed the Recommender modules for Drupal. Read more...

  • Classify political blogs. This study is to design a machine learning algorithm that classifies Digg political news articles and users as conservative or liberal. Read more...

  • Chinese online political discussion. This study attempts to use computational text analysis techniques to find the meaning and political implications of the word "democracy" in Chinese online political discussion. Read more...

My wife Allison Riccardi and our lovely daughter Lan-Lan are currently living at Ann Arbor, Michigan.