Real-Time-Recommendation-Engine
PublicReal-Time Recommendation Engine with sub-100ms latency using PySpark, Delta Lake, MLflow & Kafka. Achieves NDCG@10: 0.78, MAP@10: 0.73, Hit Rate@20: 0.91 through advanced matrix factorization (SVD/NMF).
Comprehensive AI Models Collection for All Your Development & Research Needs
AI LLM Power Rankings - Performance, Buzz & Trends
Discover Trusted AI Model Partners - Guaranteed Reliable Support
Submit Your Model Info & Services - Precision Marketing & User Targeting
Discover Popular AI-MCP Services - Find Your Perfect Match Instantly
Easy MCP Client Integration - Access Powerful AI Capabilities
Master MCP Usage - From Beginner to Expert
Top MCP Service Performance Rankings - Find Your Best Choice
Publish & Promote Your MCP Services
Large-scale datasets and benchmarks for training, evaluating, and testing models to measure
Comprehensive Text Extraction and Document Processing Solutions for Users
Real-Time Recommendation Engine with sub-100ms latency using PySpark, Delta Lake, MLflow & Kafka. Achieves NDCG@10: 0.78, MAP@10: 0.73, Hit Rate@20: 0.91 through advanced matrix factorization (SVD/NMF).