Picture
Qian Zhao, Ph.D., Graduated on May 2018
at the Computer Science Department
at the University of Minnesota
Email: zhaox331@umn.edu
My home page moved to http://qianzhao.me!!

Conference

  • Qian Zhao, Martijn Willemsen, Gediminas Adomavicius, F. Maxwell Harper, Joseph A. Konsta. 2018. Interpreting User Inaction in Recommender Systems. In Proceedings of The 12th ACM Conference on Recommender Systems (RecSys ’18). ACM, New York, NY, USA.
  • Qian Zhao, Jilin Chen, Minmin Chen, Sagar Jain, Alex Beutel, Francois Belletti, Ed Chi. 2018. Categorical-Attributes-Based Item Classification for Recommender Systems. In Proceedings of The 12th ACM Conference on Recommender Systems (RecSys ’18). ACM, New York, NY, USA.
  • Yifan Zhong, Tahir Lazaro Sousa Menezes, Vikas Kumar, Qian Zhao, F. Maxwell Harper. 2018. A Field Study of Related Video Recommendations: Newest, Most Similar, or Most Relevant. Short paper In Proceedings of The 12th ACM Conference on Recommender Systems (RecSys ’18). ACM, New York, NY, USA.
  • Qian Zhao, Paul N. Bennett, Adam Fourney, Anne Loomis Thompson, Shane Williams, Adam D. Troy, Susan T. Dumais. 2018. Calendar-Aware Proactive Email Recommendation. In Proceedings of The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval (SIGIR ’18). ACM, New York, NY, USA.
  • Qian Zhao, F. Maxwell Harper, Gediminas Adomavicius, Joseph Konstan. Explicit or Implicit Feedback? Engagement or Satisfaction? A Field Experiment on Machine-Learning-Based Recommender Systems. In Proceedings of the 33rd ACM/SIGAPP Symposium On Applied Computing, Track of Recommender Systems: Theory, User Interactions and Applications (SAC 2018), ACM, 2018.
  • Kotkov, Denis, Joseph A. Konstan, Qian Zhao, Jari Veijalainen. Investigating Serendipity in Recommender Systems Based on Real User Feedback. In Proceedings of the 33rd ACM/SIGAPP Symposium On Applied Computing, Track of Recommender Systems: Theory, User Interactions and Applications (SAC 2018), ACM, 2018.
  • Qian Zhao, Yue Shi, Liangjie Hong. GB-CENT: Gradient Boosted Categorical Embedding and Numerical Trees. In Proceedings of the 26th International World Wide Web conference (WWW 2017), ACM, 2017.
  • Qian Zhao, Sashank Varma, Joseph A. Konstan. In-video Reuse of Discussion Threads in MOOCs. Short paper In Proceedings of the Fourth Annual ACM Conference on Learning at Scale (L@S 2017), ACM, 2017.
  • Qian Zhao, Gediminas Adomavicius, F. Maxwell Harper, Martijn Willemsen, Joseph A. Konstan. Toward Better Interactions in Recommender Systems: Cycling and Serpentining Approaches for Top-N Item Lists. In Proceedings of the 20th ACM conference on Computer supported cooperative work & social computing (CSCW 2017), ACM, 2017.
  • Qian Zhao, Shuo Chang, F. Maxwell Harper, Joseph A. Konstan. Gaze Prediction for Recommender Systems. In Proceedings of the 10th ACM Conference on Recommender Systems (RecSys 2016), ACM, 2016.
  • Qian Zhao, Zihong Huang, F. Maxwell Harper, Loren Terveen, Joseph A. Konstan. Precision CrowdSourcing: Closing the Loop to Turn Information Consumers into Information Contributors. In Proceedings of the 19th ACM conference on Computer supported cooperative work & social computing (CSCW 2016), ACM, 2016.

Ph.D. Thesis

Workshop