DeepGraphLearning/RecommenderSystems

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1154 stars · 276 forks observed · 2026-08-28

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

A Python research library collecting the authors' recommender systems code, covering sequential, feature-based (CTR), and social recommendation models. It also provides a paper reading list and benchmark datasets, including a large Douban dataset.

Use cases

• build sequential recommendation models with RNNs or transformers
• run CTR prediction experiments with feature interaction models
• experiment with social/session-based recommendation using graph neural networks
• find benchmark datasets for recommendation research
• get a reading list of recommender systems papers

When to choose

• you are doing academic research on recommendation algorithms
• you need reference implementations of sequential or social recommenders
• you want benchmark datasets like Douban for evaluation

When to avoid

• you need a production-ready recommendation engine for an application
• you want a maintained library with active releases (last release 2020)
• you need plug-and-play recommenders rather than research code

Facets

library · maturity maintenance

machine-learning data-science benchmarking machine-learning data-science analytics python recommender-systems sequential-recommendation ctr-prediction social-recommendation research-code datasets reading-list

Member repositories

For agents

markdown · JSON · MCP: product_card(name="DeepGraphLearning/RecommenderSystems")