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v
Recommender
System
How to build a
with Content-base Filtering
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
Introduction
Content-based Filtering
Question & Answer
AGENDA
1. Introduction
APPLICATIONS
• Personalized recommendation
• Social recommendation
• Item recommendation
• Combination of 3 approaches above
AMAZON.COM | BOOKS
PLAY.GOOGLE.COM | APPS
SKILLSHARE.COM | CLASSES
PROCESS DIAGRAM
Preprocessing Data Analysis Adjustment
INPUT OUTPUT
TYPE OF RECOMMENDER SYSTEM
• Collaborative filtering
• Content-based filtering
• Hybrid
2. Content-based
Filtering
Collaborative Filtering Crash-course
Read more: www.slideshare.net/lonelywolf/how-to-build-a-recommender-system
OBJECT
OBJECT INFORMATION
FEATURE SET
SIMILARITY MATRIX
SIMILARITY MEASURE
SIMILARITY MEASURE
SIMILARITY MATRIX
SIMILARITY SORTING
K-NEAREST NEIGHBOR (knn)
Problem ?!
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
ADJUSTMENTS
• Hybrid Recommender System
• Sale forecast system
• Context of User
• Type of Item, Action
• External (3rd-party) information.
BOOKS
Data Science for Business
Foster Provost,Tom Fawcettv
Recommender Systems
Handbook
Many Authors
Big Data For Dummies
Marcia Kaufman, Fern Halper
Thank you!
CONTACT ME:
tuanmaster2012@gmail.com
0938 916 902
http://bloghoctap.com/

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