Foundations · MLD-0997
Recommendation
Predicting items or actions likely to interest a user or context.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Suggest relevant products or articles.
Original caveat
Feedback loops can distort future training data.
Context and aliases
Level: Foundational. Stages: Theory · Training · Inference.
Tags: ML · DL · SLM · LLM.
Aliases: None recorded.
Related concepts
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 ↗