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基于ItemCF的协同过滤 物品推荐系统 Collaborative filtering goods recommendation system based on ItemCF

Travis Travis

Step1.run(config, paths); // 格式化 去重 Format reset
Step2.run(config, paths); // 计算得分矩阵 Score matrix
Step3.run(config, paths); // 计算同现矩阵 Computing co-occurrence matrix
Step4.run(config, paths); // 同现矩阵和得分矩阵相乘 Multiply the co-occurrence matrix and the score matrix
Step5.run(config, paths); // 把相乘之后的矩阵相加获得结果矩阵 Add the matrix after multiplication to obtain the result matrix
Step6.run(config, paths); // 排序推荐 Sort recommendation