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LibRec

LibRec is an advanced Java open source library of recommender systems with around 90 multiple recommendation algorithms, which can effectively solve the rating and ranking problems. Recommender system is a typical application of Machine Learning and Big Data, which is used to provide personalized recommendations. As an implementation of recommendation algorithms, LibRec improves a lot in modularization, implementation, and availability. In addition, the recommendation performance is further enhanced.

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

• Data Model
  • Convertor
  • Splitter
  • Appender
• Recommender
  • Similarity
  • Algorithms
  • Development
• Evaluator
• Filter

Appendix

• Algorithm List
• Configuration List
• API Documents

Blogs

• LibRec通识篇
• LibRec工程导入
• LibRec命令行操作
• LibRec团队一年记
• LibRec工作进展[2017.2.16]
• LibRec工作进展[2017.4.28]
• LibRec每周算法