Graphs, recommendations, and time series · MLD-0183
Collaborative filtering
Recommendation methods that use patterns of interactions across users and items.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Recommend items based on similar interaction histories.
Original caveat
Sparse histories create cold-start and coverage problems.
Context and aliases
Level: Intermediate. Stages: Architecture · Data · Training · Inference.
Tags: ML · DL · Recommender systems.
Aliases: None recorded.
Related concepts
Concepts linking here
Original references
- PyTorch Geometric documentation ↗ · Consulted
- scikit-learn User Guide ↗ · Consulted
- statsmodels: time series analysis ↗ · Reference link
- Original reference URL ↗