Metarank
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About
Metarank is an open-source ranking service designed to build personalized semantic/neural search and recommendation systems. It allows integration of customer signals like clicks and purchases to optimize for maximal CTR, tracks visitor profiles for real-time personalization, and uses LLMs in bi- and cross-encoder modes for semantic search understanding. Metarank is fast, optimized for reranking latency (10-20ms), and scales horizontally as a stateless cloud-native service with state managed by Redis. It saves development time by computing dozens of typical ranking signals out-of-the-box and offers integrations with various streaming processing systems for visitor signals. Users can build advanced ranking systems for semantic search, traditional and new-age recommendations, and Learning-to-Rank on existing search engines.
Platform
Task
Features
• automated ml model retraining
• integration with customer signals (clicks, purchases)
• a/b testing for multiple model serving
• automatic feature generation
• real-time personalization based on user actions
• learning-to-rank for existing search engines
• personalized recommendations (trending and similar-items)
• semantic neural search
Pricing Plans
Open Source
Free Plan• Open-source software
• Self-hosted deployment
• Personalized semantic search
• Collaborative filtering recommendations
• Learning-to-Rank capabilities
• Automatic feature engineering
• Automated ML model retraining
• A/B testing for models
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
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