SlideShare ist ein Scribd-Unternehmen logo

How to Build Recommender System with Content based Filtering

•Als PPTX, PDF herunterladen•
•
Võ Duy Tuấn
Võ Duy Tuấn

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

Technologie
1 von 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/

Empfohlen

Recommender Systems
Recommender SystemsRecommender Systems
Recommender SystemsGirish Khanzode
 
Recommender systems using collaborative filtering
Recommender systems using collaborative filteringRecommender systems using collaborative filtering
Recommender systems using collaborative filteringD Yogendra Rao
 
Recommender systems: Content-based and collaborative filtering
Recommender systems: Content-based and collaborative filteringRecommender systems: Content-based and collaborative filtering
Recommender systems: Content-based and collaborative filteringViet-Trung TRAN
 
An introduction to Recommender Systems
An introduction to Recommender SystemsAn introduction to Recommender Systems
An introduction to Recommender SystemsDavid Zibriczky
 
Recommendation Systems Basics
Recommendation Systems BasicsRecommendation Systems Basics
Recommendation Systems BasicsJarin Tasnim Khan
 
Recommender Systems
Recommender SystemsRecommender Systems
Recommender SystemsCarlos Castillo (ChaTo)
 
Recommendation System Explained
Recommendation System ExplainedRecommendation System Explained
Recommendation System ExplainedCrossing Minds
 
Recommender system
Recommender systemRecommender system
Recommender systemNilotpal Pramanik
 

Empfohlen

Recommender Systems
Recommender SystemsRecommender Systems
Recommender SystemsGirish Khanzode
 
Recommender systems using collaborative filtering
Recommender systems using collaborative filteringRecommender systems using collaborative filtering
Recommender systems using collaborative filteringD Yogendra Rao
 
Recommender systems: Content-based and collaborative filtering
Recommender systems: Content-based and collaborative filteringRecommender systems: Content-based and collaborative filtering
Recommender systems: Content-based and collaborative filteringViet-Trung TRAN
 
An introduction to Recommender Systems
An introduction to Recommender SystemsAn introduction to Recommender Systems
An introduction to Recommender SystemsDavid Zibriczky
 
Recommendation Systems Basics
Recommendation Systems BasicsRecommendation Systems Basics
Recommendation Systems BasicsJarin Tasnim Khan
 
Recommender Systems
Recommender SystemsRecommender Systems
Recommender SystemsCarlos Castillo (ChaTo)
 
Recommendation System Explained
Recommendation System ExplainedRecommendation System Explained
Recommendation System ExplainedCrossing Minds
 
Recommender system
Recommender systemRecommender system
Recommender systemNilotpal Pramanik
 
Introduction to Recommendation Systems
Introduction to Recommendation SystemsIntroduction to Recommendation Systems
Introduction to Recommendation SystemsTrieu Nguyen
 
Recommendation system
Recommendation systemRecommendation system
Recommendation systemAkshat Thakar
 
Recommendation System
Recommendation SystemRecommendation System
Recommendation SystemAnamta Sayyed
 
Collaborative Filtering using KNN
Collaborative Filtering using KNNCollaborative Filtering using KNN
Collaborative Filtering using KNNŞeyda Hatipoğlu
 
Recommender Systems
Recommender SystemsRecommender Systems
Recommender SystemsFrancesco Casalegno
 
How to build a Recommender System
How to build a Recommender SystemHow to build a Recommender System
How to build a Recommender SystemVõ Duy Tuấn
 
Item Based Collaborative Filtering Recommendation Algorithms
Item Based Collaborative Filtering Recommendation AlgorithmsItem Based Collaborative Filtering Recommendation Algorithms
Item Based Collaborative Filtering Recommendation Algorithmsnextlib
 
Overview of recommender system
Overview of recommender systemOverview of recommender system
Overview of recommender systemStanley Wang
 
Recommender Systems
Recommender SystemsRecommender Systems
Recommender SystemsT212
 
Collaborative filtering
Collaborative filteringCollaborative filtering
Collaborative filteringTien-Yang (Aiden) Wu
 
Recommender system introduction
Recommender system introductionRecommender system introduction
Recommender system introductionLiang Xiang
 
Recommendation system
Recommendation systemRecommendation system
Recommendation systemPratisthaSingh5
 
Qcon SF 2013 - Machine Learning & Recommender Systems @ Netflix Scale
Qcon SF 2013 - Machine Learning & Recommender Systems @ Netflix ScaleQcon SF 2013 - Machine Learning & Recommender Systems @ Netflix Scale
Qcon SF 2013 - Machine Learning & Recommender Systems @ Netflix ScaleXavier Amatriain
 
Context-aware Recommendation: A Quick View
Context-aware Recommendation: A Quick ViewContext-aware Recommendation: A Quick View
Context-aware Recommendation: A Quick ViewYONG ZHENG
 
[Final]collaborative filtering and recommender systems
[Final]collaborative filtering and recommender systems[Final]collaborative filtering and recommender systems
[Final]collaborative filtering and recommender systemsFalitokiniaina Rabearison
 
Recent advances in deep recommender systems
Recent advances in deep recommender systemsRecent advances in deep recommender systems
Recent advances in deep recommender systemsNAVER Engineering
 
Recommender system algorithm and architecture
Recommender system algorithm and architectureRecommender system algorithm and architecture
Recommender system algorithm and architectureLiang Xiang
 
Past present and future of Recommender Systems: an Industry Perspective
Past present and future of Recommender Systems: an Industry PerspectivePast present and future of Recommender Systems: an Industry Perspective
Past present and future of Recommender Systems: an Industry PerspectiveXavier Amatriain
 
Recommendation Systems
Recommendation SystemsRecommendation Systems
Recommendation SystemsRobin Reni
 
Recommender Systems (Machine Learning Summer School 2014 @ CMU)
Recommender Systems (Machine Learning Summer School 2014 @ CMU)Recommender Systems (Machine Learning Summer School 2014 @ CMU)
Recommender Systems (Machine Learning Summer School 2014 @ CMU)Xavier Amatriain
 
Disrupting Data Discovery
Disrupting Data DiscoveryDisrupting Data Discovery
Disrupting Data Discoverymarkgrover
 
Bioschemas Workshop
Bioschemas WorkshopBioschemas Workshop
Bioschemas WorkshopNiall Beard
 

Weitere ähnliche Inhalte

Was ist angesagt?

Introduction to Recommendation Systems
Introduction to Recommendation SystemsIntroduction to Recommendation Systems
Introduction to Recommendation SystemsTrieu Nguyen
 
Recommendation system
Recommendation systemRecommendation system
Recommendation systemAkshat Thakar
 
Recommendation System
Recommendation SystemRecommendation System
Recommendation SystemAnamta Sayyed
 
Collaborative Filtering using KNN
Collaborative Filtering using KNNCollaborative Filtering using KNN
Collaborative Filtering using KNNŞeyda Hatipoğlu
 
How to build a Recommender System
How to build a Recommender SystemHow to build a Recommender System
How to build a Recommender SystemVõ Duy Tuấn
 
Item Based Collaborative Filtering Recommendation Algorithms
Item Based Collaborative Filtering Recommendation AlgorithmsItem Based Collaborative Filtering Recommendation Algorithms
Item Based Collaborative Filtering Recommendation Algorithmsnextlib
 
Overview of recommender system
Overview of recommender systemOverview of recommender system
Overview of recommender systemStanley Wang
 
Recommender Systems
Recommender SystemsRecommender Systems
Recommender SystemsT212
 
Recommender system introduction
Recommender system introductionRecommender system introduction
Recommender system introductionLiang Xiang
 
Qcon SF 2013 - Machine Learning & Recommender Systems @ Netflix Scale
Qcon SF 2013 - Machine Learning & Recommender Systems @ Netflix ScaleQcon SF 2013 - Machine Learning & Recommender Systems @ Netflix Scale
Qcon SF 2013 - Machine Learning & Recommender Systems @ Netflix ScaleXavier Amatriain
 
Context-aware Recommendation: A Quick View
Context-aware Recommendation: A Quick ViewContext-aware Recommendation: A Quick View
Context-aware Recommendation: A Quick ViewYONG ZHENG
 
[Final]collaborative filtering and recommender systems
[Final]collaborative filtering and recommender systems[Final]collaborative filtering and recommender systems
[Final]collaborative filtering and recommender systemsFalitokiniaina Rabearison
 
Recent advances in deep recommender systems
Recent advances in deep recommender systemsRecent advances in deep recommender systems
Recent advances in deep recommender systemsNAVER Engineering
 
Recommender system algorithm and architecture
Recommender system algorithm and architectureRecommender system algorithm and architecture
Recommender system algorithm and architectureLiang Xiang
 
Past present and future of Recommender Systems: an Industry Perspective
Past present and future of Recommender Systems: an Industry PerspectivePast present and future of Recommender Systems: an Industry Perspective
Past present and future of Recommender Systems: an Industry PerspectiveXavier Amatriain
 
Recommendation Systems
Recommendation SystemsRecommendation Systems
Recommendation SystemsRobin Reni
 
Recommender Systems (Machine Learning Summer School 2014 @ CMU)
Recommender Systems (Machine Learning Summer School 2014 @ CMU)Recommender Systems (Machine Learning Summer School 2014 @ CMU)
Recommender Systems (Machine Learning Summer School 2014 @ CMU)Xavier Amatriain
 

Was ist angesagt? (20)

Introduction to Recommendation Systems
Introduction to Recommendation SystemsIntroduction to Recommendation Systems
Introduction to Recommendation Systems
 
Recommendation system
Recommendation systemRecommendation system
Recommendation system
 
Recommendation System
Recommendation SystemRecommendation System
Recommendation System
 
Collaborative Filtering using KNN
Collaborative Filtering using KNNCollaborative Filtering using KNN
Collaborative Filtering using KNN
 
Recommender Systems
Recommender SystemsRecommender Systems
Recommender Systems
 
How to build a Recommender System
How to build a Recommender SystemHow to build a Recommender System
How to build a Recommender System
 
Item Based Collaborative Filtering Recommendation Algorithms
Item Based Collaborative Filtering Recommendation AlgorithmsItem Based Collaborative Filtering Recommendation Algorithms
Item Based Collaborative Filtering Recommendation Algorithms
 
Overview of recommender system
Overview of recommender systemOverview of recommender system
Overview of recommender system
 
Recommender Systems
Recommender SystemsRecommender Systems
Recommender Systems
 
Collaborative filtering
Collaborative filteringCollaborative filtering
Collaborative filtering
 
Recommender system introduction
Recommender system introductionRecommender system introduction
Recommender system introduction
 
Recommendation system
Recommendation systemRecommendation system
Recommendation system
 
Qcon SF 2013 - Machine Learning & Recommender Systems @ Netflix Scale
Qcon SF 2013 - Machine Learning & Recommender Systems @ Netflix ScaleQcon SF 2013 - Machine Learning & Recommender Systems @ Netflix Scale
Qcon SF 2013 - Machine Learning & Recommender Systems @ Netflix Scale
 
Context-aware Recommendation: A Quick View
Context-aware Recommendation: A Quick ViewContext-aware Recommendation: A Quick View
Context-aware Recommendation: A Quick View
 
[Final]collaborative filtering and recommender systems
[Final]collaborative filtering and recommender systems[Final]collaborative filtering and recommender systems
[Final]collaborative filtering and recommender systems
 
Recent advances in deep recommender systems
Recent advances in deep recommender systemsRecent advances in deep recommender systems
Recent advances in deep recommender systems
 
Recommender system algorithm and architecture
Recommender system algorithm and architectureRecommender system algorithm and architecture
Recommender system algorithm and architecture
 
Past present and future of Recommender Systems: an Industry Perspective
Past present and future of Recommender Systems: an Industry PerspectivePast present and future of Recommender Systems: an Industry Perspective
Past present and future of Recommender Systems: an Industry Perspective
 
Recommendation Systems
Recommendation SystemsRecommendation Systems
Recommendation Systems
 
Recommender Systems (Machine Learning Summer School 2014 @ CMU)
Recommender Systems (Machine Learning Summer School 2014 @ CMU)Recommender Systems (Machine Learning Summer School 2014 @ CMU)
Recommender Systems (Machine Learning Summer School 2014 @ CMU)
 

Ähnlich wie How to Build Recommender System with Content based Filtering

Disrupting Data Discovery
Disrupting Data DiscoveryDisrupting Data Discovery
Disrupting Data Discoverymarkgrover
 
Bioschemas Workshop
Bioschemas WorkshopBioschemas Workshop
Bioschemas WorkshopNiall Beard
 
RecSys 2015 Tutorial – Scalable Recommender Systems: Where Machine Learning...
RecSys 2015 Tutorial – Scalable Recommender Systems: Where Machine Learning... RecSys 2015 Tutorial – Scalable Recommender Systems: Where Machine Learning...
RecSys 2015 Tutorial – Scalable Recommender Systems: Where Machine Learning...S. Diana Hu
 
RecSys 2015 Tutorial - Scalable Recommender Systems: Where Machine Learning m...
RecSys 2015 Tutorial - Scalable Recommender Systems: Where Machine Learning m...RecSys 2015 Tutorial - Scalable Recommender Systems: Where Machine Learning m...
RecSys 2015 Tutorial - Scalable Recommender Systems: Where Machine Learning m...Joaquin Delgado PhD.
 
Where Search Meets Machine Learning: Presented by Diana Hu & Joaquin Delgado,...
Where Search Meets Machine Learning: Presented by Diana Hu & Joaquin Delgado,...Where Search Meets Machine Learning: Presented by Diana Hu & Joaquin Delgado,...
Where Search Meets Machine Learning: Presented by Diana Hu & Joaquin Delgado,...Lucidworks
 
Lucene/Solr Revolution 2015: Where Search Meets Machine Learning
Lucene/Solr Revolution 2015: Where Search Meets Machine LearningLucene/Solr Revolution 2015: Where Search Meets Machine Learning
Lucene/Solr Revolution 2015: Where Search Meets Machine LearningJoaquin Delgado PhD.
 
Lucene/Solr Revolution 2015: Where Search Meets Machine Learning
Lucene/Solr Revolution 2015: Where Search Meets Machine LearningLucene/Solr Revolution 2015: Where Search Meets Machine Learning
Lucene/Solr Revolution 2015: Where Search Meets Machine LearningS. Diana Hu
 
Implementing Site Search in CQ5 / AEM
Implementing Site Search in CQ5 / AEMImplementing Site Search in CQ5 / AEM
Implementing Site Search in CQ5 / AEMrtpaem
 
Use of data science in recommendation system
Use of data science in recommendation systemUse of data science in recommendation system
Use of data science in recommendation systemAkashPatil334
 
Graphs for Recommendation Engines: Looking beyond Social, Retail, and Media
Graphs for Recommendation Engines: Looking beyond Social, Retail, and MediaGraphs for Recommendation Engines: Looking beyond Social, Retail, and Media
Graphs for Recommendation Engines: Looking beyond Social, Retail, and MediaNeo4j
 
Search Engine Optimization (SEO) 101
Search Engine Optimization (SEO) 101Search Engine Optimization (SEO) 101
Search Engine Optimization (SEO) 101pointit
 
Lec 1 integrating data science and data analytics in various research thrust
Lec 1 integrating data science and data analytics in various research thrustLec 1 integrating data science and data analytics in various research thrust
Lec 1 integrating data science and data analytics in various research thrustMenchita Falcutila Dumlao
 
How to SEO a Terrific - and Profitable - User Experience
How to SEO a Terrific - and Profitable - User ExperienceHow to SEO a Terrific - and Profitable - User Experience
How to SEO a Terrific - and Profitable - User ExperienceBrightEdge
 
Could You be a Data Scientist? Quantify Data Scientist Profiles using Machine...
Could You be a Data Scientist? Quantify Data Scientist Profiles using Machine...Could You be a Data Scientist? Quantify Data Scientist Profiles using Machine...
Could You be a Data Scientist? Quantify Data Scientist Profiles using Machine...Carlo Torniai
 
Implimenting and Mitigating Change with all of this Newfangled Technology
Implimenting and Mitigating Change with all of this Newfangled TechnologyImplimenting and Mitigating Change with all of this Newfangled Technology
Implimenting and Mitigating Change with all of this Newfangled TechnologyIndiana Online Users Group
 
E Learning Management System By Tuhin Roy Using PHP
E Learning Management System By Tuhin Roy Using PHPE Learning Management System By Tuhin Roy Using PHP
E Learning Management System By Tuhin Roy Using PHPTuhin Ray
 
Best Practices for Enterprise Search
Best Practices for Enterprise SearchBest Practices for Enterprise Search
Best Practices for Enterprise SearchChris Risner
 
SPConnections - Search Administration in SharePoint 2013
SPConnections - Search Administration in SharePoint 2013SPConnections - Search Administration in SharePoint 2013
SPConnections - Search Administration in SharePoint 2013Agnes Molnar
 

Ähnlich wie How to Build Recommender System with Content based Filtering (20)

Disrupting Data Discovery
Disrupting Data DiscoveryDisrupting Data Discovery
Disrupting Data Discovery
 
Bioschemas Workshop
Bioschemas WorkshopBioschemas Workshop
Bioschemas Workshop
 
RecSys 2015 Tutorial – Scalable Recommender Systems: Where Machine Learning...
RecSys 2015 Tutorial – Scalable Recommender Systems: Where Machine Learning... RecSys 2015 Tutorial – Scalable Recommender Systems: Where Machine Learning...
RecSys 2015 Tutorial – Scalable Recommender Systems: Where Machine Learning...
 
RecSys 2015 Tutorial - Scalable Recommender Systems: Where Machine Learning m...
RecSys 2015 Tutorial - Scalable Recommender Systems: Where Machine Learning m...RecSys 2015 Tutorial - Scalable Recommender Systems: Where Machine Learning m...
RecSys 2015 Tutorial - Scalable Recommender Systems: Where Machine Learning m...
 
Where Search Meets Machine Learning: Presented by Diana Hu & Joaquin Delgado,...
Where Search Meets Machine Learning: Presented by Diana Hu & Joaquin Delgado,...Where Search Meets Machine Learning: Presented by Diana Hu & Joaquin Delgado,...
Where Search Meets Machine Learning: Presented by Diana Hu & Joaquin Delgado,...
 
Lucene/Solr Revolution 2015: Where Search Meets Machine Learning
Lucene/Solr Revolution 2015: Where Search Meets Machine LearningLucene/Solr Revolution 2015: Where Search Meets Machine Learning
Lucene/Solr Revolution 2015: Where Search Meets Machine Learning
 
Lucene/Solr Revolution 2015: Where Search Meets Machine Learning
Lucene/Solr Revolution 2015: Where Search Meets Machine LearningLucene/Solr Revolution 2015: Where Search Meets Machine Learning
Lucene/Solr Revolution 2015: Where Search Meets Machine Learning
 
Recsys 2016
Recsys 2016Recsys 2016
Recsys 2016
 
Implementing Site Search in CQ5 / AEM
Implementing Site Search in CQ5 / AEMImplementing Site Search in CQ5 / AEM
Implementing Site Search in CQ5 / AEM
 
Use of data science in recommendation system
Use of data science in recommendation systemUse of data science in recommendation system
Use of data science in recommendation system
 
Graphs for Recommendation Engines: Looking beyond Social, Retail, and Media
Graphs for Recommendation Engines: Looking beyond Social, Retail, and MediaGraphs for Recommendation Engines: Looking beyond Social, Retail, and Media
Graphs for Recommendation Engines: Looking beyond Social, Retail, and Media
 
Cs548 s15 showcase_web_mining
Cs548 s15 showcase_web_miningCs548 s15 showcase_web_mining
Cs548 s15 showcase_web_mining
 
Search Engine Optimization (SEO) 101
Search Engine Optimization (SEO) 101Search Engine Optimization (SEO) 101
Search Engine Optimization (SEO) 101
 
Lec 1 integrating data science and data analytics in various research thrust
Lec 1 integrating data science and data analytics in various research thrustLec 1 integrating data science and data analytics in various research thrust
Lec 1 integrating data science and data analytics in various research thrust
 
How to SEO a Terrific - and Profitable - User Experience
How to SEO a Terrific - and Profitable - User ExperienceHow to SEO a Terrific - and Profitable - User Experience
How to SEO a Terrific - and Profitable - User Experience
 
Could You be a Data Scientist? Quantify Data Scientist Profiles using Machine...
Could You be a Data Scientist? Quantify Data Scientist Profiles using Machine...Could You be a Data Scientist? Quantify Data Scientist Profiles using Machine...
Could You be a Data Scientist? Quantify Data Scientist Profiles using Machine...
 
Implimenting and Mitigating Change with all of this Newfangled Technology
Implimenting and Mitigating Change with all of this Newfangled TechnologyImplimenting and Mitigating Change with all of this Newfangled Technology
Implimenting and Mitigating Change with all of this Newfangled Technology
 
E Learning Management System By Tuhin Roy Using PHP
E Learning Management System By Tuhin Roy Using PHPE Learning Management System By Tuhin Roy Using PHP
E Learning Management System By Tuhin Roy Using PHP
 
Best Practices for Enterprise Search
Best Practices for Enterprise SearchBest Practices for Enterprise Search
Best Practices for Enterprise Search
 
SPConnections - Search Administration in SharePoint 2013
SPConnections - Search Administration in SharePoint 2013SPConnections - Search Administration in SharePoint 2013
SPConnections - Search Administration in SharePoint 2013
 

Mehr von Võ Duy Tuấn

Log management system for Microservices
Log management system for MicroservicesLog management system for Microservices
Log management system for MicroservicesVõ Duy Tuấn
 
Multi-tenant Database Design for SaaS
Multi-tenant Database Design for SaaSMulti-tenant Database Design for SaaS
Multi-tenant Database Design for SaaSVõ Duy Tuấn
 
Mobile outsourcing best practices
Mobile outsourcing best practicesMobile outsourcing best practices
Mobile outsourcing best practicesVõ Duy Tuấn
 
Chatbot in Sale Management
Chatbot in Sale ManagementChatbot in Sale Management
Chatbot in Sale ManagementVõ Duy Tuấn
 
Microservices and docker
Microservices and dockerMicroservices and docker
Microservices and dockerVõ Duy Tuấn
 
Scale with Microservices
Scale with MicroservicesScale with Microservices
Scale with MicroservicesVõ Duy Tuấn
 
Microservices in production
Microservices in productionMicroservices in production
Microservices in productionVõ Duy Tuấn
 
Business Intelligence in Retail Industry
Business Intelligence in Retail IndustryBusiness Intelligence in Retail Industry
Business Intelligence in Retail IndustryVõ Duy Tuấn
 
Php psr standard 2014 01-22
Php psr standard 2014 01-22Php psr standard 2014 01-22
Php psr standard 2014 01-22Võ Duy Tuấn
 
Speed up with hiphop php 2014 01-22
Speed up with hiphop php 2014 01-22Speed up with hiphop php 2014 01-22
Speed up with hiphop php 2014 01-22Võ Duy Tuấn
 
Reader.vn 2012 - The Book Of Life
Reader.vn 2012 - The Book Of LifeReader.vn 2012 - The Book Of Life
Reader.vn 2012 - The Book Of LifeVõ Duy Tuấn
 
Heavy Web Optimization: Backend
Heavy Web Optimization: BackendHeavy Web Optimization: Backend
Heavy Web Optimization: BackendVõ Duy Tuấn
 
Heavy Web Optimization: Frontend
Heavy Web Optimization: FrontendHeavy Web Optimization: Frontend
Heavy Web Optimization: FrontendVõ Duy Tuấn
 
Caching strategy and apc
Caching strategy and apcCaching strategy and apc
Caching strategy and apcVõ Duy Tuấn
 
PHP: Debugger, Profiler and more
PHP: Debugger, Profiler and morePHP: Debugger, Profiler and more
PHP: Debugger, Profiler and moreVõ Duy Tuấn
 
Magento overview and how sell Magento extensions
Magento overview and how sell Magento extensionsMagento overview and how sell Magento extensions
Magento overview and how sell Magento extensionsVõ Duy Tuấn
 
Javascript unit testing framework
Javascript unit testing frameworkJavascript unit testing framework
Javascript unit testing frameworkVõ Duy Tuấn
 

Mehr von Võ Duy Tuấn (20)

Log management system for Microservices
Log management system for MicroservicesLog management system for Microservices
Log management system for Microservices
 
Multi-tenant Database Design for SaaS
Multi-tenant Database Design for SaaSMulti-tenant Database Design for SaaS
Multi-tenant Database Design for SaaS
 
Flutter introduction
Flutter introductionFlutter introduction
Flutter introduction
 
Mobile outsourcing best practices
Mobile outsourcing best practicesMobile outsourcing best practices
Mobile outsourcing best practices
 
Chatbot in Sale Management
Chatbot in Sale ManagementChatbot in Sale Management
Chatbot in Sale Management
 
Microservices and docker
Microservices and dockerMicroservices and docker
Microservices and docker
 
Scale with Microservices
Scale with MicroservicesScale with Microservices
Scale with Microservices
 
React introduction
React introductionReact introduction
React introduction
 
Microservices in production
Microservices in productionMicroservices in production
Microservices in production
 
Business Intelligence in Retail Industry
Business Intelligence in Retail IndustryBusiness Intelligence in Retail Industry
Business Intelligence in Retail Industry
 
Php psr standard 2014 01-22
Php psr standard 2014 01-22Php psr standard 2014 01-22
Php psr standard 2014 01-22
 
Speed up with hiphop php 2014 01-22
Speed up with hiphop php 2014 01-22Speed up with hiphop php 2014 01-22
Speed up with hiphop php 2014 01-22
 
Mobile for web
Mobile for webMobile for web
Mobile for web
 
Reader.vn 2012 - The Book Of Life
Reader.vn 2012 - The Book Of LifeReader.vn 2012 - The Book Of Life
Reader.vn 2012 - The Book Of Life
 
Heavy Web Optimization: Backend
Heavy Web Optimization: BackendHeavy Web Optimization: Backend
Heavy Web Optimization: Backend
 
Heavy Web Optimization: Frontend
Heavy Web Optimization: FrontendHeavy Web Optimization: Frontend
Heavy Web Optimization: Frontend
 
Caching strategy and apc
Caching strategy and apcCaching strategy and apc
Caching strategy and apc
 
PHP: Debugger, Profiler and more
PHP: Debugger, Profiler and morePHP: Debugger, Profiler and more
PHP: Debugger, Profiler and more
 
Magento overview and how sell Magento extensions
Magento overview and how sell Magento extensionsMagento overview and how sell Magento extensions
Magento overview and how sell Magento extensions
 
Javascript unit testing framework
Javascript unit testing frameworkJavascript unit testing framework
Javascript unit testing framework
 

Kürzlich hochgeladen

Decarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a realityDecarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a realityIES VE
 
Abdul Kader Baba- Managing Cybersecurity Risks and Compliance Requirements i...
Abdul Kader Baba- Managing Cybersecurity Risks and Compliance Requirements i...Abdul Kader Baba- Managing Cybersecurity Risks and Compliance Requirements i...
Abdul Kader Baba- Managing Cybersecurity Risks and Compliance Requirements i...itnewsafrica
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc
 
MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotes
MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotesMuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotes
MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotesManik S Magar
 
Generative AI - Gitex v1Generative AI - Gitex v1.pptx
Generative AI - Gitex v1Generative AI - Gitex v1.pptxGenerative AI - Gitex v1Generative AI - Gitex v1.pptx
Generative AI - Gitex v1Generative AI - Gitex v1.pptxfnnc6jmgwh
 
A Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersA Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersNicole Novielli
 
Generative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfGenerative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfIngrid Airi González
 
Potential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsPotential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsRavi Sanghani
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
2024 April Patch Tuesday
2024 April Patch Tuesday2024 April Patch Tuesday
2024 April Patch TuesdayIvanti
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxLoriGlavin3
 
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentEmixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentPim van der Noll
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxLoriGlavin3
 
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24Mark Goldstein
 
Testing tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesTesting tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesKari Kakkonen
 
Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024Hiroshi SHIBATA
 
Genislab builds better products and faster go-to-market with Lean project man...
Genislab builds better products and faster go-to-market with Lean project man...Genislab builds better products and faster go-to-market with Lean project man...
Genislab builds better products and faster go-to-market with Lean project man...Farhan Tariq
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsPixlogix Infotech
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3
 

Kürzlich hochgeladen (20)

Decarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a realityDecarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a reality
 
Abdul Kader Baba- Managing Cybersecurity Risks and Compliance Requirements i...
Abdul Kader Baba- Managing Cybersecurity Risks and Compliance Requirements i...Abdul Kader Baba- Managing Cybersecurity Risks and Compliance Requirements i...
Abdul Kader Baba- Managing Cybersecurity Risks and Compliance Requirements i...
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
 
MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotes
MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotesMuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotes
MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotes
 
Generative AI - Gitex v1Generative AI - Gitex v1.pptx
Generative AI - Gitex v1Generative AI - Gitex v1.pptxGenerative AI - Gitex v1Generative AI - Gitex v1.pptx
Generative AI - Gitex v1Generative AI - Gitex v1.pptx
 
A Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersA Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software Developers
 
Generative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfGenerative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdf
 
Potential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsPotential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and Insights
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
2024 April Patch Tuesday
2024 April Patch Tuesday2024 April Patch Tuesday
2024 April Patch Tuesday
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
 
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentEmixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
 
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
 
Testing tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesTesting tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examples
 
Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024
 
Genislab builds better products and faster go-to-market with Lean project man...
Genislab builds better products and faster go-to-market with Lean project man...Genislab builds better products and faster go-to-market with Lean project man...
Genislab builds better products and faster go-to-market with Lean project man...
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and Cons
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
 

How to Build Recommender System with Content based Filtering