Coder-Yu/QRec

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1638 stars · 409 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

QRec is a Python framework built on TensorFlow 1.x for quickly implementing and evaluating recommender system models. It ships with many state-of-the-art recommendation algorithms (e.g., LightGCN, NGCF, SGL, SimGCL) behind a lightweight, configuration-driven interface.

Use cases

• implement and benchmark recommender system models
• reproduce state-of-the-art collaborative filtering papers
• evaluate recommendation algorithms on standard datasets
• experiment with graph-based and social recommendation models
• compare classical and deep learning recommenders

When to choose

• you need a ready-made collection of recommendation models for research or benchmarking
• you want a lightweight, config-driven framework for quick recommender experiments
• you are working with TensorFlow 1.x and Python 3.7

When to avoid

• you need a production recommendation system at scale
• you require modern TensorFlow 2.x or PyTorch (consider the authors' SELFRec instead)
• you need long-term support, an official license, or active maintenance

Facets

framework · maturity maintenance

machine-learning deep-learning data-science machine-learning data-science python cross-platform windows recommender-systems tensorflow collaborative-filtering social-recommendation graph-neural-networks research algorithms linux macos

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