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How to Build Recommender System with Content based Filtering

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

Tecnologia
1 de 27
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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