SlideShare a Scribd company logo

How to Build Recommender System with Content based Filtering

•Download as PPTX, PDF•
•
Võ Duy Tuấn
Võ Duy Tuấn

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

Technology
1 of 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/

Recommended

Recommender Systems
Recommender SystemsRecommender Systems
Recommender SystemsCarlos Castillo (ChaTo)
 
Introduction to Recommendation Systems
Introduction to Recommendation SystemsIntroduction to Recommendation Systems
Introduction to Recommendation SystemsTrieu Nguyen
 
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
 
Recommender system
Recommender systemRecommender system
Recommender systemNilotpal Pramanik
 
Recommendation System Explained
Recommendation System ExplainedRecommendation System Explained
Recommendation System ExplainedCrossing Minds
 
Recommendation system
Recommendation systemRecommendation system
Recommendation systemAkshat Thakar
 
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
 
Recommender Systems
Recommender SystemsRecommender Systems
Recommender SystemsGirish Khanzode
 

Recommended

Recommender Systems
Recommender SystemsRecommender Systems
Recommender SystemsCarlos Castillo (ChaTo)
 
Introduction to Recommendation Systems
Introduction to Recommendation SystemsIntroduction to Recommendation Systems
Introduction to Recommendation SystemsTrieu Nguyen
 
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
 
Recommender system
Recommender systemRecommender system
Recommender systemNilotpal Pramanik
 
Recommendation System Explained
Recommendation System ExplainedRecommendation System Explained
Recommendation System ExplainedCrossing Minds
 
Recommendation system
Recommendation systemRecommendation system
Recommendation systemAkshat Thakar
 
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
 
Recommender Systems
Recommender SystemsRecommender Systems
Recommender SystemsGirish Khanzode
 
Recommender system introduction
Recommender system introductionRecommender system introduction
Recommender system introductionLiang Xiang
 
Overview of recommender system
Overview of recommender systemOverview of recommender system
Overview of recommender systemStanley Wang
 
Recommendation Systems
Recommendation SystemsRecommendation Systems
Recommendation SystemsRobin Reni
 
Recommender Systems
Recommender SystemsRecommender Systems
Recommender SystemsFrancesco Casalegno
 
Recommendation system
Recommendation system Recommendation system
Recommendation system Vikrant Arya
 
Recommender systems using collaborative filtering
Recommender systems using collaborative filteringRecommender systems using collaborative filtering
Recommender systems using collaborative filteringD Yogendra Rao
 
Recommendation Systems - Why How and Real Life Applications
Recommendation Systems - Why How and Real Life ApplicationsRecommendation Systems - Why How and Real Life Applications
Recommendation Systems - Why How and Real Life ApplicationsLiron Zighelnic
 
Recommendation engines
Recommendation enginesRecommendation engines
Recommendation enginesGeorgian Micsa
 
A Hybrid Recommendation system
A Hybrid Recommendation systemA Hybrid Recommendation system
A Hybrid Recommendation systemPranav Prakash
 
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
 
An introduction to Recommender Systems
An introduction to Recommender SystemsAn introduction to Recommender Systems
An introduction to Recommender SystemsDavid Zibriczky
 
Building a Recommendation Engine - An example of a product recommendation engine
Building a Recommendation Engine - An example of a product recommendation engineBuilding a Recommendation Engine - An example of a product recommendation engine
Building a Recommendation Engine - An example of a product recommendation engineNYC Predictive Analytics
 
Matrix Factorization In Recommender Systems
Matrix Factorization In Recommender SystemsMatrix Factorization In Recommender Systems
Matrix Factorization In Recommender SystemsYONG ZHENG
 
Recommendation system (1).pptx
Recommendation system (1).pptxRecommendation system (1).pptx
Recommendation system (1).pptxprathammishra28
 
Deep Learning for Recommender Systems
Deep Learning for Recommender SystemsDeep Learning for Recommender Systems
Deep Learning for Recommender Systemsinovex GmbH
 
Recommendation Systems Basics
Recommendation Systems BasicsRecommendation Systems Basics
Recommendation Systems BasicsJarin Tasnim Khan
 
Recommender system algorithm and architecture
Recommender system algorithm and architectureRecommender system algorithm and architecture
Recommender system algorithm and architectureLiang Xiang
 
Recent advances in deep recommender systems
Recent advances in deep recommender systemsRecent advances in deep recommender systems
Recent advances in deep recommender systemsNAVER Engineering
 
Collaborative Filtering 1: User-based CF
Collaborative Filtering 1: User-based CFCollaborative Filtering 1: User-based CF
Collaborative Filtering 1: User-based CFYusuke Yamamoto
 
Deep Learning for Recommender Systems
Deep Learning for Recommender SystemsDeep Learning for Recommender Systems
Deep Learning for Recommender SystemsJustin Basilico
 
Disrupting Data Discovery
Disrupting Data DiscoveryDisrupting Data Discovery
Disrupting Data Discoverymarkgrover
 
Bioschemas Workshop
Bioschemas WorkshopBioschemas Workshop
Bioschemas WorkshopNiall Beard
 

More Related Content

What's hot

Recommender system introduction
Recommender system introductionRecommender system introduction
Recommender system introductionLiang Xiang
 
Overview of recommender system
Overview of recommender systemOverview of recommender system
Overview of recommender systemStanley Wang
 
Recommendation Systems
Recommendation SystemsRecommendation Systems
Recommendation SystemsRobin Reni
 
Recommendation system
Recommendation system Recommendation system
Recommendation system Vikrant Arya
 
Recommender systems using collaborative filtering
Recommender systems using collaborative filteringRecommender systems using collaborative filtering
Recommender systems using collaborative filteringD Yogendra Rao
 
Recommendation Systems - Why How and Real Life Applications
Recommendation Systems - Why How and Real Life ApplicationsRecommendation Systems - Why How and Real Life Applications
Recommendation Systems - Why How and Real Life ApplicationsLiron Zighelnic
 
Recommendation engines
Recommendation enginesRecommendation engines
Recommendation enginesGeorgian Micsa
 
A Hybrid Recommendation system
A Hybrid Recommendation systemA Hybrid Recommendation system
A Hybrid Recommendation systemPranav Prakash
 
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
 
An introduction to Recommender Systems
An introduction to Recommender SystemsAn introduction to Recommender Systems
An introduction to Recommender SystemsDavid Zibriczky
 
Building a Recommendation Engine - An example of a product recommendation engine
Building a Recommendation Engine - An example of a product recommendation engineBuilding a Recommendation Engine - An example of a product recommendation engine
Building a Recommendation Engine - An example of a product recommendation engineNYC Predictive Analytics
 
Matrix Factorization In Recommender Systems
Matrix Factorization In Recommender SystemsMatrix Factorization In Recommender Systems
Matrix Factorization In Recommender SystemsYONG ZHENG
 
Recommendation system (1).pptx
Recommendation system (1).pptxRecommendation system (1).pptx
Recommendation system (1).pptxprathammishra28
 
Deep Learning for Recommender Systems
Deep Learning for Recommender SystemsDeep Learning for Recommender Systems
Deep Learning for Recommender Systemsinovex GmbH
 
Recommendation Systems Basics
Recommendation Systems BasicsRecommendation Systems Basics
Recommendation Systems BasicsJarin Tasnim Khan
 
Recommender system algorithm and architecture
Recommender system algorithm and architectureRecommender system algorithm and architecture
Recommender system algorithm and architectureLiang Xiang
 
Recent advances in deep recommender systems
Recent advances in deep recommender systemsRecent advances in deep recommender systems
Recent advances in deep recommender systemsNAVER Engineering
 
Collaborative Filtering 1: User-based CF
Collaborative Filtering 1: User-based CFCollaborative Filtering 1: User-based CF
Collaborative Filtering 1: User-based CFYusuke Yamamoto
 
Deep Learning for Recommender Systems
Deep Learning for Recommender SystemsDeep Learning for Recommender Systems
Deep Learning for Recommender SystemsJustin Basilico
 

What's hot (20)

Recommender system introduction
Recommender system introductionRecommender system introduction
Recommender system introduction
 
Overview of recommender system
Overview of recommender systemOverview of recommender system
Overview of recommender system
 
Recommendation Systems
Recommendation SystemsRecommendation Systems
Recommendation Systems
 
Recommender Systems
Recommender SystemsRecommender Systems
Recommender Systems
 
Recommendation system
Recommendation system Recommendation system
Recommendation system
 
Recommender systems using collaborative filtering
Recommender systems using collaborative filteringRecommender systems using collaborative filtering
Recommender systems using collaborative filtering
 
Recommendation Systems - Why How and Real Life Applications
Recommendation Systems - Why How and Real Life ApplicationsRecommendation Systems - Why How and Real Life Applications
Recommendation Systems - Why How and Real Life Applications
 
Recommendation engines
Recommendation enginesRecommendation engines
Recommendation engines
 
A Hybrid Recommendation system
A Hybrid Recommendation systemA Hybrid Recommendation system
A Hybrid 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
 
An introduction to Recommender Systems
An introduction to Recommender SystemsAn introduction to Recommender Systems
An introduction to Recommender Systems
 
Building a Recommendation Engine - An example of a product recommendation engine
Building a Recommendation Engine - An example of a product recommendation engineBuilding a Recommendation Engine - An example of a product recommendation engine
Building a Recommendation Engine - An example of a product recommendation engine
 
Matrix Factorization In Recommender Systems
Matrix Factorization In Recommender SystemsMatrix Factorization In Recommender Systems
Matrix Factorization In Recommender Systems
 
Recommendation system (1).pptx
Recommendation system (1).pptxRecommendation system (1).pptx
Recommendation system (1).pptx
 
Deep Learning for Recommender Systems
Deep Learning for Recommender SystemsDeep Learning for Recommender Systems
Deep Learning for Recommender Systems
 
Recommendation Systems Basics
Recommendation Systems BasicsRecommendation Systems Basics
Recommendation Systems Basics
 
Recommender system algorithm and architecture
Recommender system algorithm and architectureRecommender system algorithm and architecture
Recommender system algorithm and architecture
 
Recent advances in deep recommender systems
Recent advances in deep recommender systemsRecent advances in deep recommender systems
Recent advances in deep recommender systems
 
Collaborative Filtering 1: User-based CF
Collaborative Filtering 1: User-based CFCollaborative Filtering 1: User-based CF
Collaborative Filtering 1: User-based CF
 
Deep Learning for Recommender Systems
Deep Learning for Recommender SystemsDeep Learning for Recommender Systems
Deep Learning for Recommender Systems
 

Similar to 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 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.
 
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
 
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
 

Similar to 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 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...
 
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...
 
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
 

More from 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
 

More from 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
 

Recently uploaded

GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slidespraypatel2
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Paola De la Torre
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure servicePooja Nehwal
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024Scott Keck-Warren
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxKatpro Technologies
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitecturePixlogix Infotech
 
How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?XfilesPro
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxOnBoard
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 

Recently uploaded (20)

GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slides
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC Architecture
 
How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptx
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 

How to Build Recommender System with Content based Filtering