7:00 – 3:00 ASRC

• Continuing to review Topic-Relevance Map – Visualization for Improving Search Result Comprehension for IUI 2017. I think parts of this are effectively plagiarized. Need to talk to someone about this
• How Google Shapes the News You See About the Candidates
• The Linear Algebra Behind Search Engines Online tutorial from 2005, which means there’s a chance I can follow. Loo
• Matrices, Vector Spaces, and Information Retrieval. Good examples. Looks readable. More on this later.
• Jaegul Choo
  • Weakly supervised nonnegative matrix factorization for user-driven clustering
  • L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization
  • Simultaneous discovery of common and discriminative topics via joint nonnegative matrix factorization
  • DemographicVis: Analyzing demographic information based on user generated content
  • Nonnegative matrix factorization for interactive topic modeling and document clustering
  • And so on. Need to spend some time looking at this.
• A human-machine collaborative system for identifying rumors on twitter