Datarec: Reproducible Data Management for Recommender Systems

Recommender system data management framework developed by sisinflab, last updated in February 2026. It provides a Python-based environment for standardized and reproducible data preparation in recommendation research.

Use Cases

• Standardizing user-item interaction features for recommendation model training
• Ensuring reproducible data splits for algorithm evaluation
• Managing item metadata for content-based filtering tasks

Strengths

• MIT licensed for open research and commercial use
• Maintained by the sisinflab research organization
• Updated as recently as February 2026

Limitations

• Functions as a software library rather than a standalone dataset
• Requires Python proficiency to implement data management tasks

Provenance

Source

sisinflab (Information Systems Lab)

Freshness

Updated February 2026.