Projects by Tag: recommendation — Recommendation Systems, Personalization Engines, and Scalable Recommender Projects
Explore projects tagged 'recommendation' to discover recommendation systems projects and personalization engine projects that implement collaborative filtering, matrix factorization, deep learning recommender models, session-based and reinforcement-learning approaches, real-time recommendation inference, and scalable recommender pipelines. This curated list of projects (nav: projects, pillar: tags) highlights codebases, representative datasets (MovieLens, Amazon reviews), evaluation practices (precision@k, NDCG, MAP, A/B testing), and production patterns (feature stores, microservices, Kafka, online learning) so engineers and product teams can compare architectures, reproduce benchmarks, and accelerate deployment. Use the filtering UI to narrow by algorithm, domain, language (Python, TensorFlow, PyTorch), dataset, or license, then clone repos, run demos, benchmark models, or contribute — explore these recommendation projects to improve personalization, relevance, and conversion.
