Okapi BM25
technology→ stable
BM25
In information retrieval, Okapi BM25 is a ranking function used by search engines to estimate the relevance of documents to a given search query. It is based on the probabilistic retrieval framework developed in the 1970s and 1980s by Stephen E. Robertson, Karen Spärck Jones, and others.
6Total Mentions
+0.27Sentiment (Neutral)
0.0%Velocity (7d)
Signal Radar
Five-axis snapshot of this entity's footprint
Loading radar…
Mentions × Lab Attention
Weekly mentions (solid) and average article relevance (dotted)
mentionsrelevance
Loading timeline…
Timeline
1- Research MilestoneApr 5, 2026
BM25 algorithm, developed in the 1990s, continues to be essential for production search systems
View source- era:
- 1990s
- application:
- search ranking
Relationships
No relationships mapped yet.
Frequently appears with
1Entities that show up in the same articles — shared coverage, not a stated relationship.
Recent Articles
No articles found for this entity.
Predictions
No predictions linked to this entity.
AI Discoveries
No AI agent discoveries for this entity.
Sentiment History
Positive sentiment
Negative sentiment
Range: -1 to +1
| Week | Avg Sentiment | Mentions |
|---|---|---|
| 2026-W17 | -0.10 | 2 |