Content-Based Recommendation
  • Item Profiling
    • Discovering Features
      - tfxidf
    • Distance/Similarity
      - Measures: Jaccard, Cosine, …
      - Algorithms for Massive Datasets: MinHash, LSH
  • User Profiling
  • Classification & Decision Tree
Collaborative Filtering
  • Distance/Similarity
  • Clustering Users and Items
Dimensionality Reduction
  • SVD (Singular-Value Decomposition)
    • UV-Decomposition



References