The 4th Place Solution to the 2019 ACM Recsys Challenge by Team RosettaAI
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Updated
Dec 18, 2019 - Python
The 4th Place Solution to the 2019 ACM Recsys Challenge by Team RosettaAI
A framework for benchmarking embedding models in hybrid search scenarios (BM25 + vector search) using Weaviate.
Graph embeddings measurer - a tool for computing metrics for testing knowledge graph embedding models
"Haberim Var" – Turkish News Retrieval System
"Haberim Var" – Turkish News Retrieval System
Repository for the Kaggle Competition for the Advanced Machine Learning course
🔍 Benchmark embedding models in hybrid search with Weaviate. Evaluate MRR@K, Hit@K, latency, and memory using your data or MTEB datasets.
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