How to Build Recommender System with Content based Filtering
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The document provides an overview of building a recommender system using content-based filtering, including applications and types of recommender systems. It discusses the process, challenges faced such as feature weighting and data adjustments, and suggests resources for further reading. The author, Võ Duy Tuấn, is a CTO with expertise in PHP and mobile development.
How to Build Recommender System with Content based Filtering
- 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
- 5. APPLICATIONS • Personalized recommendation • Social recommendation • Item recommendation • Combination of 3 approaches above
- 9. PROCESS DIAGRAM Preprocessing Data Analysis Adjustment INPUT OUTPUT
- 10. TYPE OF RECOMMENDER SYSTEM • Collaborative filtering • Content-based filtering • Hybrid
- 12. Collaborative Filtering Crash-course Read more: www.slideshare.net/lonelywolf/how-to-build-a-recommender-system
- 13. OBJECT
- 15. FEATURE SET
- 23. Problem ?!
- 24. 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
- 25. ADJUSTMENTS • Hybrid Recommender System • Sale forecast system • Context of User • Type of Item, Action • External (3rd-party) information.
- 26. BOOKS Data Science for Business Foster Provost,Tom Fawcettv Recommender Systems Handbook Many Authors Big Data For Dummies Marcia Kaufman, Fern Halper
- 27. Thank you! CONTACT ME: tuanmaster2012@gmail.com 0938 916 902 http://bloghoctap.com/