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Content_Based Recommendation

MapReduce步骤(Content_Based Recommendation)

1、将ItemProfile转置

    输入:物品ID(行)——标签ID(列)——0/1
    输出:标签ID(行)——物品ID(列)——0/1

2、ItemUser(评分矩阵) x 步骤1的输出

    输入:步骤2的输入
    缓存:步骤1的输出
    (输出和缓存是相同的文件)
    输出:用户ID(行)——标签ID(列)——分值

3、COS<步骤1的输入,步骤2的输出>

    输入:步骤1的输入
    缓存:步骤2的输出
    输出:用户ID(行)——物品ID(列)——相似度

4、根据评分矩阵,将步骤4的输出中,用户已经有过行为的商品评分置0

    输入:步骤3的输出
    缓存:步骤2的输入
    输出:用户ID(行)——物品ID(列)——分值(最终的推荐列表)

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