BM25 (Okapi BM25)
BM25, also called Okapi BM25 or Best Match 25, is a probabilistic ranking function used by search engines and information retrieval systems to estimate how relevant a document is to a given query.
Information Retrieval
Explore Information Retrieval through related topics and the articles other pages reference most.
Explore articles
Browse subtopics: Algorithms
Articles that also belong to these categories. Counts cover all of Information Retrieval.
All articles (74)Natural Language Processing (29)Machine Learning (14)AI Companies (13)Open Source AI (12)AI Tools & Products (10)AI Agents (8)AI Infrastructure (7)Developer Tools (7)AI Models (4)Artificial Intelligence (4)Large Language Models (4)AI Benchmarks (3)Algorithms (3)Chinese AI (3)Enterprise AI (3)AI Inference (2)Anthropic (2)ChatGPT (2)Mathematics (2)Model Evaluation (2)Neural Networks (2)OpenAI (2)AI History (1)AI Research (1)Computer Science (1)Computer Vision (1)Deep Learning (1)Generative AI (1)Meta AI (1)Microsoft (1)Model Architecture (1)Multimodal AI (1)Research Organizations (1)
Showing 1-3 of 3 articles
HNSW
Hierarchical Navigable Small World (HNSW) is an approximate nearest-neighbor search algorithm that indexes high-dimensional vectors in a multi-layer proximity graph and answers similarity queries in expected…
TF-IDF (Term Frequency-Inverse Document Frequency)
TF-IDF (term frequency-inverse document frequency) is a numerical statistic that measures how important a word is to a single document within a larger collection or corpus, computed as the product of two…