VAC AI Unit 4, Lecture 9: AI in E-Commerce – Recommendation, Personalization & Segmentation скачать в хорошем качестве

VAC AI Unit 4, Lecture 9: AI in E-Commerce – Recommendation, Personalization & Segmentation

Description: Welcome to Lecture 9 of the CSVTU Value-Added Course on Artificial Intelligence (CSVAC-01). In this session from Unit 4: Applications of AI, we explore how modern e-commerce platforms like Amazon, Flipkart, and Netflix use AI-based recommendation systems, customer segmentation, and real-time personalization to improve user experience and boost sales. 🎯 Topics Covered: What is a Recommendation System? Content-Based vs Collaborative Filtering Hybrid Models in AI Recommendations Clickstream Analysis and User Behavior Modeling Real-Time Personalization Engines Role of NLP in Smart Search Customer Segmentation with Clustering Personalized Marketing Strategies (Cross-Selling & Up-Selling) Tools like Amazon Personalize, Salesforce Einstein, Netflix AI 💡 Whether you're a student of AI, a beginner in data science, or simply curious how online platforms "know what you want"—this lecture explains it in simple, relatable language with real-world examples. 🔔 Don’t forget to Like, Share, Subscribe and enable notifications so you never miss an update! #AI #RecommendationSystem #ECommerceAI #Personalization #NLP #FlipkartAI #NetflixAlgorithm #CSVTU #VAC #AIinEducation #StudentFriendlyAI AI in E-Commerce,Recommendation Systems,Personalization AI,Customer Segmentation,Collaborative Filtering,Content-Based Filtering,Hybrid AI Models,NLP in E-Commerce,AI for UX,Flipkart AI,Amazon Personalize,Netflix AI Engine,E-Commerce Analytics,AI User Behavior,AI Shopping Tools,CSVAC01,CSVTU AI Course,AI for Students,VAC AI Lecture,AI Tools India