Doctoral consortium

WSDM 2017 features a Doctoral Consortium, to be held on Monday February 6, 2017. The Doctoral Consortium is limited to invited students and mentors only.

Detailed Program
8:30Introductions + Coffee
9:00Student presentations 1
10:30Coffee Break
11:00Student presentations 2
12:30Lunch: working lunch (boxed)
and discussions
13:30Keynote talks: Susan Dumais and
Charlie Clarke: Tips on Successful Research Projects and Career
14:30Mentor-student break-out sessions
16:00Student reports from break-out
sessions
17:00Academia, Industry careers panel (all mentors)
18:00Wrap-up --> WSDM Social/beer

Accepted papers are divided into 2 sessions:

  • Session 1
  • Modeling Navigation in Information Networks
    Dimitar Dimitrov, GESIS
  • Quantifying and Bursting the Online Filter Bubble
    Venkata Rama Kiran Garimella, Aalto University
  • Scalable Text Analysis
    Zijun Xue, University of California, Los Angeles
  • Modeling Source Code to Support Retrieval-Based Applications
    Venkatesh Vinayakarao, IIITD-Delhi
  • Mining Medical Causality for Diagnosis Assistance
    Sendong Zhao, Harbin Institute of Technology
  • Session 2
  • A Generative Framework to Query Recommendation and Evaluation
    Matthew Mitsui, Rutgers University
  • Recommender Systems: Approaches and Research Direction
    Manoj Reddy Dareddy, University of California
  • New probabilistic models for recommender systems with rich contextual and content information
    Eliezer de Souza Da Silva, Norwegian University of Science and Technology
  • Adapting Information Retrieval to User Signals via Stochastic Models
    Maria Maistro, University of Padua