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recpy1's Introduction

易于理解的基于Python的推荐系统(评分预测)

主要包含:

    1. data(数据集)
    1. (datatype)
    1. example(模型使用示例)
    1. log(日志输出目录)
    1. model(模型目录)
    1. nlp(评论处理部分)
    1. out(结果输出目录)
    1. preprocess(数据读取与预处理)
    1. test(测试目录)
    1. utils(实用工具集)

模型部分目前包含:

  • MF(LMF-MF)
  • BMF(BiasedMatrixFactorization)
  • LBMF(Logistic BMF)
  • STMF(A Sentiment Topic Matrix Factorization for Recommendation)
  • LSTMF(Logistic STMF)
  • BLSTMF(Binary Logistic STMF)
  • DLSTMF(Deep Logistic STMF)

TODO:

    1. 直接根据日志训练,而不是先转换成矩阵再训练,性能调优(已完成)
    1. 数据结构设计(已完成)
    1. TFIDF+AutoEncoder(已完成)
    1. ...

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