- 基于商品Item-Based CF, 保证在数据稀疏性的情况下, 减小算法扩展性差的特点（如果仅基于用户的协同过滤 User-Based CF）
- 调整的余弦相似度计算, 基于关联计算相似度similarity, 并添加系数调整因子factor
- “加权求和”的预测打分值计算
- TopK商品item推荐
- 数据： 训练集80000,测试集20000
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recommand system ----Item Based CF (Collaborative filtering)
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