Aastha jain linkedin 27 aug 2012

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Aastha jain linkedin 27 aug 2012

  1. 1. Multi domain recommendation system
  2. 2. User characterization by item preferences Movies BooksJohn likes:Mary likes:
  3. 3. User characterization by item preferences Movies BooksJohn likes:Mary likes: I like:
  4. 4. User characterization by item preferences Movies BooksJohn likes:Mary likes: Recommendations: I like:
  5. 5. User characterization by item preferences Movies BooksJohn likes:Mary likes: I like:
  6. 6. User characterization by item preferences Movies BooksJohn likes:Mary likes: Recommendations: I like:
  7. 7. Sparse Data (Bad recommendations):I like:
  8. 8. Sparse Data (Bad recommendations):I like: Recommendations:
  9. 9. Content-based information:I like: Recommendations:
  10. 10. Quantitative ImprovementMethod Percentage AccuracyPure Collaborative filtering 63.2%Hybrid 76.4%
  11. 11. Aastha Jain

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