Menu
Menu

    LIVE Classes

    VLSI Design Programme
    VLSI Design Programme New

    IIT Delhi certified

    AI & Machine Learning
    AI & Machine Learning New

    Intel & IIT-M Pravartak certified

    Data Science
    Data Science

    IIT-M Pravartak certified

    Full Stack Development
    Full Stack Development

    IIT-M Pravartak certified

    UI/UX Design
    UI/UX Design

    HCL GUVI certified

    AI DevOps Program
    AI DevOps Program

    HCL GUVI certified

    Courses

    Practice

    CodeKata

    CodeKata

    Sharpen your coding skills, prepare for interviews

    WebKata

    WebKata

    Build basic frontend & backend development skills

    SQLKata

    SQLKata

    Master SQL concepts in relational database management

    FixTheCode

    FixTheCode

    A series of programs curated by industry experts

    IDE - Online Compiler

    IDE - Online Compiler

    Run & test your code in any programming language

    Resources

    Free Resources

    Free Resources

    Referral

    Referral

    Success Stories

    Success Stories

    Blogs

    Blogs

    Learn Hub

    Learn Hub

    Get The App

    Get The App

    Rewards

    Rewards

    Become an Affiliate

    Become an Affiliate

    Leaderboard

    Leaderboard

    What's New?
    Resume Builder

    Resume Builder

    Community Hub

    Community Hub

    Our Products

    HackerKID

    HackerKID

    Coding classes platform for K-12 children

    GUVI For Corporates

    GUVI For Corporates

    Meet your Hiring & Training Needs

    Placement Preparation

    Placement Preparation

    Ace Up your Aptitude

    Play StoreApp Store
Still Confused?WhatsApp

Welcome to HCL GUVI

Hey there! Welcome to HCL GUVI—Grab Your Vernacular Imprint—where tech learning is easy, fun, and curated specially for you. Incubated by IIT Madras & IIM Ahmedabad in 2014 and now part of HCL Group, we're making quality tech education accessible to all.

Join 3M+ learners breaking barriers and upskilling for a brighter future. We're here to guide you every step of the way! 🚀

LIVE Classes

Zen Classes are HCL GUVI's most refined and flagship product—live, expert-led tech programs for beginners and pros. With IITM Pravartak affiliations, master Full-Stack, Data Science, DevOps, UI/UX, and more in multiple languages!

Explore More

Courses

Looking for flexibility? HCL GUVI's 200+ self-paced courses let you learn anytime, anywhere! From free lessons to IIT-M & Autodesk-certified programs, gain in-demand skills in your preferred language.

Explore More

Practice Platforms

Enhance your coding skills with HCL GUVI's Practice Platforms—interactive, structured, and designed to help you master programming effortlessly.

CodeKata:

A structured coding practice platform with 1500+ coding problems designed by industry experts. Ideal for beginners and professionals preparing for tech interviews with real-world coding challenges.

Try Now >

WebKata:

An interactive platform to master HTML, CSS, JavaScript, and Bootstrap with a live coding environment. Perfect for hands-on web development practice without any setup.

Try Now >

SQLKata:

A practice ground for mastering SQL queries used in real-world applications. Write, optimize, and refine your queries to build strong database skills.

Try Now >

FixTheCode:

Hone your bug-fixing skills with real-world debugging challenges in Python, C++, JavaScript, and Golang. More languages coming soon!

Try Now >

IDE:

A free online compiler supporting 20+ programming languages with auto-complete, debugging, and AI-powered code generation—all in the cloud!

Try Now >

Leaderboard

Climb the leaderboard as you earn Geekoins by learning and practicing! The top scorers get featured, making learning competitive and rewarding. Keep going—you could be next!

Explore More

Rewards

Earn Geekoins by watching videos and practicing problems, then redeem them for exciting rewards. The more you engage, the more you win!

Explore More

Referral

Love learning with HCL GUVI? Share it with friends! Invite them using your unique link or code and unlock exciting rewards—Amazon vouchers, iPhones, and more. A Win-Win.

Explore More

Profile

Your HCL GUVI profile is your digital portfolio! Track progress, showcase skills, add projects, and build a resume. Keep it updated—opportunities await!

Explore More

That's It! You Are Ready!

You're all set to dive into your learning journey with HCL GUVI. Explore, upskill, and make each step count—exciting possibilities awaits!

Thank you for Reaching us out

Our team will reach you out
within the next 24 hours.

Explore all Programs

Natural Language Processing (NLP)

Natural Language Processing (NLP)

Natural Language Processing (NLP) is a branch of Artificial Intelligence that enables computers to understand, analyze, and process human language.

Since news articles are stored as text, NLP techniques are used to prepare the data before building the recommendation system.

Some common NLP tasks include:

  • Text cleaning
  • Removing stop words
  • Tokenization
  • Feature extraction
  • Text vectorization

Applying NLP improves the quality of textual data and helps generate more accurate recommendations.

Share

You can share this topic with your family and friends on Social Media.

Share in

News Recommendation System Using Machine Learning

VA

Vishalini A

News Recommendation System Using Machine Learning

MODULE 1 : Introduction to News Recommendation Systems
lessonIntroduction to News Recommendation Systems
lessonWhat is a Recommendation System?
lessonWhat is a News Recommendation System?
lessonImportance of News Recommendation Systems
lessonAim of News Recommendation System Project Using Machine Learning
lessonExpected Project Output
MODULE 2 : Project Setup and Development Environment
lessonProject Setup and Development Environment
lessonTech Stack Used
lessonDataset Overview
lessonNews Recommendation System Input and Output Explained
lessonWhy Use Content-Based Recommendation? A Content-Based Recommendation System suggests articles by analyzing their textual content instead of relying on user ratings or browsing history. For example: Articles with similar headlines can be recommended together. News belonging to the same category may have higher similarity. Articles discussing the same topic are more likely to be recommended. Some advantages include: Personalized recommendations No dependency on user history Works well for text-based datasets Easy to implement Generates relevant suggestions quickly Content-Based Filtering is one of the most commonly used approaches for recommendation systems involving textual data.
MODULE 3 : Fundamental Concepts of News Recommendation Systems
lessonFundamental Concepts of News Recommendation Systems
lessonRecommendation Systems
lessonContent-Based Recommendation
lessonNatural Language Processing (NLP)
lessonTF-IDF Vectorization
lessonCosine Similarity
lessonText Feature Engineering
lessonSimilarity-Based Recommendation Process
lessonWhy News Recommendation Systems Matter
MODULE 4 : Developing the News Recommendation System
lessonDeveloping the News Recommendation System
lessonImporting Required Libraries
lessonLoading the Dataset
lessonExploring the Dataset
lessonChecking Data Quality
lessonCleaning the Dataset
lessonSelecting Important Features
lessonCombining Text Features
lessonFeature Extraction Using TF-IDF
MODULE 5 : Generating Personalized News Recommendations
lessonGenerating Personalized News Recommendations
lessonBuilding the Recommendation Function
lessonDisplaying Recommended News Articles
lessonTesting the Recommendation System
lessonTesting with Different News Articles
lessonUnderstanding the Recommendation Results
lessonAdvantages of the Recommendation System
MODULE 6 : Project Results and Final Evaluation
lessonProject Results and Final Evaluation
lessonLive Output and Recommendation Overview
lessonKey Insights from the Project
lessonMultiple Choice Questions (MCQs)
lessonResources

Get in Touch For Details

News Recommendation System Using Machine Learning

MODULE 1 : Introduction to News Recommendation Systems
lessonIntroduction to News Recommendation Systems
lessonWhat is a Recommendation System?
lessonWhat is a News Recommendation System?
lessonImportance of News Recommendation Systems
lessonAim of News Recommendation System Project Using Machine Learning
lessonExpected Project Output
MODULE 2 : Project Setup and Development Environment
lessonProject Setup and Development Environment
lessonTech Stack Used
lessonDataset Overview
lessonNews Recommendation System Input and Output Explained
lessonWhy Use Content-Based Recommendation? A Content-Based Recommendation System suggests articles by analyzing their textual content instead of relying on user ratings or browsing history. For example: Articles with similar headlines can be recommended together. News belonging to the same category may have higher similarity. Articles discussing the same topic are more likely to be recommended. Some advantages include: Personalized recommendations No dependency on user history Works well for text-based datasets Easy to implement Generates relevant suggestions quickly Content-Based Filtering is one of the most commonly used approaches for recommendation systems involving textual data.
MODULE 3 : Fundamental Concepts of News Recommendation Systems
lessonFundamental Concepts of News Recommendation Systems
lessonRecommendation Systems
lessonContent-Based Recommendation
lessonNatural Language Processing (NLP)
lessonTF-IDF Vectorization
lessonCosine Similarity
lessonText Feature Engineering
lessonSimilarity-Based Recommendation Process
lessonWhy News Recommendation Systems Matter
MODULE 4 : Developing the News Recommendation System
lessonDeveloping the News Recommendation System
lessonImporting Required Libraries
lessonLoading the Dataset
lessonExploring the Dataset
lessonChecking Data Quality
lessonCleaning the Dataset
lessonSelecting Important Features
lessonCombining Text Features
lessonFeature Extraction Using TF-IDF
MODULE 5 : Generating Personalized News Recommendations
lessonGenerating Personalized News Recommendations
lessonBuilding the Recommendation Function
lessonDisplaying Recommended News Articles
lessonTesting the Recommendation System
lessonTesting with Different News Articles
lessonUnderstanding the Recommendation Results
lessonAdvantages of the Recommendation System
MODULE 6 : Project Results and Final Evaluation
lessonProject Results and Final Evaluation
lessonLive Output and Recommendation Overview
lessonKey Insights from the Project
lessonMultiple Choice Questions (MCQs)
lessonResources

ZEN CLASS

LIVE CLASS

Popular Courses

Self-Paced Courses

Practice Platforms

Community

Products

Resources

Company

ZEN CLASS

LIVE CLASS

Popular Courses

Self-Paced Courses

Practice Platforms

Community

Products

Resources

Company

app store
play store
Refer & Earn

HCL GUVI (Grab Your Vernacular Imprint) Geek Network Private Limited is a leading online learning and skills development company, incubated by IIT Madras and IIM Ahmedabad.

Established in 2014 and acquired by the HCL Group in 2022, HCL GUVI is dedicated to providing effective and high-quality learning and skilling programs that transcend language barriers in technology education. HCL GUVI today is trusted by over 4.8 million users, 20 languages and 2500+ corporate partners.

app storeplay store
Refer & Earn

HCL GUVI (Grab Your Vernacular Imprint) Geek Network Private Limited is a leading online learning and skills development company, incubated by IIT Madras and IIM Ahmedabad.

Established in 2014 and acquired by the HCL Group in 2022, HCL GUVI is dedicated to providing effective and high-quality learning and skilling programs that transcend language barriers in technology education. HCL GUVI today is trusted by over 4.8 million users, 20 languages and 2500+ corporate partners.

app storeplay storeRefer & Earn
Terms and ConditionsPrivacy Policy

HCL GUVI Geek Network Pvt. Ltd.

Terms and ConditionsPrivacy Policy

HCL GUVI Geek Network Pvt. Ltd.