Metarank
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About
Metarank is an open-source ranking service that helps build personalized semantic/neural search and recommendations. It integrates customer signals, tracks visitor profiles, and uses LLMs. Optimized for reranking latency and built as a stateless cloud-native service, it can scale horizontally. It can compute ranking signals like CTR, referrer, User-Agent, and time out of the box. It helps build advanced ranking systems for search and recommendations. Features include semantic search, trending and similar-items recommendations, personalization, AutoML for feature generation and model re-training, and A/B testing.
Platform
Task
Features
• recommendations
• automated ml model retraining
• stateless cloud-native service
• optimized for reranking latency
• llms in bi- and cross-encoder mode
• visitor profile tracking
• integrate customer signals
• personalized semantic/neural search
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