Explore MATLAB source code curated for "协同过滤" with clean implementations, documentation, and examples.
Implementation of a movie recommendation system in MATLAB utilizing collaborative filtering matrix algorithms, with MAE validation on a large-scale dataset (943 users, 1687 movies). Features file-based data handling, clustering analysis for method comparison, and graphical result visualization with performance benchmarking.
Implementation of collaborative filtering algorithms in MATLAB, featuring multiple key algorithms with complete code and practical examples for building recommendation systems.
MATLAB source code for building recommendation systems using collaborative filtering algorithms, featuring user-based and item-based approaches with matrix computation optimizations
An in-depth exploration of collaborative filtering algorithms, covering user-based and item-based approaches with code implementation insights and technical considerations.