How to Build Recommender System with Content based Filtering
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How to Build Recommender System with Content based Filtering

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How to build recommender system. Content based filtering method for recommender system. Feature weighting and feature measure function.

How to build recommender system. Content based filtering method for recommender system. Feature weighting and feature measure function.

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How to Build Recommender System with Content based Filtering Presentation Transcript

  • 1. v Recommender System How to build a with Content-base Filtering
  • 2. Võ Duy Tuấn CTO @ spiral.vn  PHP 5 Zend Certified Engineer  Mobile App Developer  Web Developer & Designer  Interest: o PHP o Large System & Data Mining o Web Performance Optimization o Mobile Development
  • 3. Introduction Content-based Filtering Question & Answer AGENDA
  • 4. 1. Introduction
  • 5. APPLICATIONS • Personalized recommendation • Social recommendation • Item recommendation • Combination of 3 approaches above
  • 6. AMAZON.COM | BOOKS
  • 7. PLAY.GOOGLE.COM | APPS
  • 8. SKILLSHARE.COM | CLASSES
  • 9. PROCESS DIAGRAM Preprocessing Data Analysis Adjustment INPUT OUTPUT
  • 10. TYPE OF RECOMMENDER SYSTEM • Collaborative filtering • Content-based filtering • Hybrid
  • 11. 2. Content-based Filtering
  • 12. Collaborative Filtering Crash-course Read more: www.slideshare.net/lonelywolf/how-to-build-a-recommender-system
  • 13. OBJECT
  • 14. OBJECT INFORMATION
  • 15. FEATURE SET
  • 16. SIMILARITY MATRIX
  • 17. SIMILARITY MEASURE
  • 18. SIMILARITY MEASURE
  • 19. SIMILARITY MATRIX
  • 20. SIMILARITY SORTING
  • 21. K-NEAREST NEIGHBOR (knn)
  • 22. Problem ?!
  • 23. PROBLEMS • Explore New Features • Build feature data for item • Feature Weighting • Feature Value Distance Measure Function • Large Feature Set • What is the best K in kNN Algorithm? • Large Data set
  • 24. ADJUSTMENTS • Hybrid Recommender System • Sale forecast system • Context of User • Type of Item, Action • External (3rd-party) information.
  • 25. BOOKS Data Science for Business Foster Provost,Tom Fawcettv Recommender Systems Handbook Many Authors Big Data For Dummies Marcia Kaufman, Fern Halper
  • 26. Thank you! CONTACT ME: tuanmaster2012@gmail.com 0938 916 902 http://bloghoctap.com/