Foundations · MLD-0989
Ranking
Ordering items by predicted relevance, preference, or utility.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Rank documents for a search query.
Original caveat
Good classification accuracy does not guarantee good ranking.
Context and aliases
Level: Foundational. Stages: Theory · Training · Inference.
Tags: ML · DL · SLM · LLM.
Aliases: None recorded.
Related concepts
Concepts linking here
Technology connections
- Darts — Python time-series forecasting and anomaly-detection toolkit.
- implicit — Library for recommendation from implicit feedback.
- LightFM — Hybrid recommendation library.
- NeuralForecast — Neural forecasting model collection and utilities.
- sktime — Unified framework for time-series learning.
- StatsForecast — Statistical time-series forecasting library.
- TensorFlow Recommenders — TensorFlow library for retrieval and ranking models.
- TorchRec — PyTorch library for large-scale recommendation components.
Original references
- Deep Learning: online textbook ↗ · Consulted
- Google Machine Learning Glossary ↗ · Consulted
- Original reference URL ↗