Librec
LibRec(http://www.librec.net) 是领先的推荐系统Java开源算法工具库，覆盖了70余个各类型推荐算法，有效解决评分预测和物品推荐两大关键的推荐问题。推荐系统是机器学习和大数据技术的经典实际应用，旨在提供高效准确的个性化物品推荐。LibRec 2.0.0-RC版本在模块化、算法实现、灵活易用等多方面有极大的改善，推荐性能也得到进一步提高。
[[Introduction]]
- Overview
- Features
- Getting started
- Clone source code from github
- Run a recommender in console
- Run a recommender in IDE
- What happened
- Need Help?
[[CLI walkthrough]]
- Usage
- Running
- Configuration file
Build-in dataset
- [[Data file format]]
- Text
- Arff
- [[FilmTrust]]
Modules
- [[DataModel]]
- Convertor
- Splitter
- Appender
- [[Recommender]]
- Similarity
- Algorithms
- Probabilistic Graphical Recommender
- Matrix Factorization Recommender
- Factorization Machine Recommender
- Social Recommender
- Tensor Recommender
- Implement your own algorithm
- [[Evaluator]]
- [[Filter]]
Appendix
- [[Algorithm list]]
- [[Configuration list]]
