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Recommendation Engine
Recommendation Engine
Used in
57
AI implementations
Industries Using Recommendation Engine
entertainment
12
ecommerce
9
retail
8
advertising
8
media
4
marketing
3
hospitality
3
consumer
3
Often Used With
LLM (47)
Vector DB (43)
XGBoost (19)
Time-Series Forecasting (9)
LightGBM (9)
PyTorch (5)
Classical ML (4)
Feature Store (4)
Data Warehouse (4)
BM25/Lexical Search (2)
Quick Stats
57
Total Use Cases
12
Industries
10
Related Technologies
Use Cases Using Recommendation Engine
ecommerce
9.0
Ecommerce Personalization for Online Retail
ecommerce
9.0
AI-Powered Personalization for E-commerce Search by User Intent
ecommerce
9.0
AI-driven shopper journey optimization in ecommerce
ecommerce
9.0
AI-Powered Enhancements for Online Stores
entertainment
9.0
Emotion-Driven Music Recommender System with Deep Learning and Streamlit Integration
entertainment
9.0
AI-driven user engagement optimization for a mobile streaming/entertainment app
retail
9.0
AI in Retail Shopping Experiences (Amazon, Walmart, Shopify and peers)
education
9.0
AI-Driven Personalized Learning Platforms
entertainment
9.0
Streaming Content Recommendation System (e.g., Netflix-style Recommender)
media
9.0
AI-Driven Social Media Content Moderation and Personalization
retail
9.0
AI Use Cases in B2B E‑Commerce for Digital Growth
media
9.0
AI in Social Media: Transforming Engagement and Growth
marketing
9.0
Artificial Intelligence in Marketing Platforms and Solutions
finance
9.0
AI-Enhanced Trading Platforms
retail
9.0
AI Agents for Ecommerce Shopping Journeys
advertising
9.0
AI in Programmatic Advertising
marketing
9.0
AI-Driven Social Media Marketing Strategy Optimization
advertising
9.0
AI-Powered Digital Marketing Strategy for Brands
hospitality
9.0
Hotel Guest Experience Personalization with AI and Connectivity
media
9.0
Argoid AI-Powered Recommendation Engine
advertising
9.0
AI-Powered Advertising Optimization (as described by Quantilus Innovation)
fashion
9.0
AI-Powered Fashion Retail at Zalando
sports
9.0
Stats Perform AI for Sports Fan Engagement and Monetization
retail
9.0
LimeSpot Ecommerce Personalization
entertainment
9.0
Personalized Recommender Systems for Entertainment Platforms
sports
9.0
AI-Enhanced Fan Experience in Professional Sports
fashion
9.0
ASOS AI-Powered Ecommerce & Fashion Personalization
retail
9.0
AI Personalization for Retail Media Networks
retail
9.0
Generative AI for Online Retail & Ecommerce
advertising
9.0
Meta AI-Powered Ad Targeting Systems
advertising
9.0
Kokai AI for Advertising Optimization
advertising
9.0
YouTube AI Targeting Revolution with ML Strategies
advertising
9.0
Meta’s Generative Ads Model (GEM) for Ads Recommendation
retail
9.0
LimeSpot Dynamic Pricing Strategies for Retail and Ecommerce
entertainment
9.0
Netflix Personalization and Search Research
entertainment
9.0
Foundation Model for Large-Scale Personalized Recommendation
hospitality
9.0
Beyond price: AI-driven upselling and cross-selling for hotels
entertainment
9.0
Personalized Recommendation Impact Analysis for Streaming Platforms
entertainment
9.0
Netflix AI, Data Science, and ML Platform (Inferred)
entertainment
9.0
Integrating Netflix's Foundation Model into Personalization Applications
entertainment
9.0
Personalized Recommendation Systems for Entertainment
marketing
9.0
AI and Predictive Analytics for Digital Marketing Strategy Optimization
consumer
9.0
AI for Hyper-Personalized Promotions in Real Time
advertising
9.0
AI and Predictive Analytics in Paid Ads Targeting
ecommerce
9.0
AI-Driven Dynamic Personalization for E-commerce
retail
9.0
AI for Ecommerce Experience Optimization
education
9.0
Adaptive Learning in Learning Management Systems
ecommerce
9.0
Hyper-personalisation in eCommerce using AI
ecommerce
9.0
Personalized E-commerce Recommendation Engine
ecommerce
9.0
SAP Commerce Cloud AI for Commerce