Machine Learning for IR


Contents:

  1. Centroid classifier
  2. Large margin classification
  3. Passive-aggressive algorithm (PA)
  4. Convergence of the PA algorithm
  5. SVM explained visually
  6. Sequential minimal optimization (SMO)
  7. Learning to rank for Information Retrieval
  8. Learning to rank with an SVM
  9. Learning to rank: features
  10. Learning to rank with click data
  11. Summary