Projects — Tags: recommender-system | Scalable Recommender System Implementations for Personalization, Collaborative Filtering, and MLOps
Discover projects tagged recommender-system in our projects by tags collection: a curated list of open-source and research-driven recommendation engine projects focusing on collaborative filtering, matrix factorization, neural recommenders, session-based models, embedding-based nearest-neighbor search, and real-time ranking. Use the filtering UI to narrow results by algorithm (collaborative filtering, matrix factorization, transformer recommenders), programming language (Python, Scala, JavaScript), datasets, evaluation metrics (NDCG, MAP, precision@K), and deployment target (batch, online, serverless, vector search). Each project listing highlights architecture, scalability patterns, MLOps pipelines, feature stores, and evaluation benchmarks so you can compare trade-offs, reproduce experiments, and evaluate production readiness. Filter, explore, and click through to clone repositories, run benchmarks, or contribute — start finding high-impact recommender-system projects for personalization and production-grade recommendation engine development.