Metarank
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About
Metarank is an open-source ranking service designed to build personalized semantic/neural search and recommendations. It enhances existing search and recommendation systems by integrating customer signals like clicks and purchases to optimize for maximal CTR. Metarank tracks visitor profiles, allowing search results to adapt to user actions with real-time personalization. It leverages LLMs in bi- and cross-encoder mode for semantic search, understanding the true meaning of queries. Metarank is optimized for reranking latency, handling large result sets within 10-20ms, and scales horizontally as a stateless cloud-native service using Redis. It saves development time by computing dozens of typical ranking signals out of the box and offers integrations with various streaming processing systems. With Metarank, users can build semantic search, traditional and new-age recommendations, and implement Learning-to-Rank.
Platform
Features
• real-time personalization
• a/b testing for models
• automated ml model retraining
• personalized semantic/neural search
• scalable cloud-native service
• automated feature engineering
• llm-based neural search
• open-source ranking service
Pricing Plans
Open Source
Free Plan• Open-source access
• Personalized search
• Recommendations
• Learning-to-Rank
• Automated ML model retraining
• Automatic feature engineering
Job Opportunities
There are currently no job postings for this AI tool.
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