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v Recommender System How to build a with Content-base Filtering

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.

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Page 1: How to Build Recommender System with Content based Filtering

v

Recommender System

How to build a

with Content-base Filtering

Page 2: How to Build Recommender System with Content based Filtering

Võ Duy TuấnCTO @ 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

Page 3: How to Build Recommender System with Content based Filtering

Introduction

Content-based Filtering

Question & Answer

AGENDA

Page 4: How to Build Recommender System with Content based Filtering

1. Introduction

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APPLICATIONS

• Personalized recommendation• Social recommendation• Item recommendation• Combination of 3 approaches above

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AMAZON.COM | BOOKS

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PLAY.GOOGLE.COM | APPS

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SKILLSHARE.COM | CLASSES

Page 9: How to Build Recommender System with Content based Filtering

PROCESS DIAGRAM

Preprocessing Data Analysis Adjustment

INPUT OUTPUT

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TYPE OF RECOMMENDER SYSTEM

• Collaborative filtering• Content-based filtering• Hybrid

Page 11: How to Build Recommender System with Content based Filtering

2. Content-based Filtering

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Collaborative Filtering Crash-course

Read more: www.slideshare.net/lonelywolf/how-to-build-a-recommender-system

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OBJECT

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OBJECT INFORMATION

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FEATURE SET

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Page 17: How to Build Recommender System with Content based Filtering

SIMILARITY MATRIX

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SIMILARITY MEASURE

Page 19: How to Build Recommender System with Content based Filtering

SIMILARITY MEASURE

Page 20: How to Build Recommender System with Content based Filtering

SIMILARITY MATRIX

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SIMILARITY SORTING

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K-NEAREST NEIGHBOR (knn)

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Problem ?!

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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

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ADJUSTMENTS

• Hybrid Recommender System• Sale forecast system• Context of User• Type of Item, Action• External (3rd-party) information.

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BOOKS

Data Science for BusinessFoster Provost,Tom Fawcettv

Recommender Systems HandbookMany Authors

Big Data For DummiesMarcia Kaufman, Fern Halper

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Thank you!

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0938 916 902

http://bloghoctap.com/