Learning to Rank, a Little
summary
Shows how to build a custom ranking formula for search results, train a simple machine‑learning model to produce ranking scores, and evaluate whether the resulting ranking works well. Uses a concrete example workflow covering formula design, basic ML training, and evaluation metrics/practices.
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chapters (7)
- 0:00Introduction
- 12:25Ranking problem setup
- 22:56Metrics and data labeling
- 30:01Corpus creation and labeling
- 39:55Model training and results
- 44:10Errors and improvements
- 50:51Summary
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