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  1. als-recommend als-recommend Public

    ALS(alternating least squares)算法是基于模型的推荐算法:其基本思想是对稀疏矩阵进行模型分解,评估出缺失项的值,以此来得到一个基本的训练模型。

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  2. face face Public

    基于face_recognition人脸识别实践,应用python的flask框架

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  3. php-sort php-sort Public

    php实现排序算法

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  4. rfm rfm Public

    基于python实现的rfm,用于目标用户价值分类

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  5. Word2vec Word2vec Public

    Forked from Alex-CHUN-YU/Word2vec

    訓練中文詞向量 Word2vec, Word2vec was created by a team of researchers led by Tomas Mikolov at Google.

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  6. embedding embedding Public

    我们将用户点击序列拼接得到长文本,输入到item2Vec建模,得到每个物件的Embedding向量值Post_Embedding向量表达。再将用户所看到Post_Embeddings值整合,就得到User_Embedding

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