mahout算法源码分析之Itembased Collaborative Filtering（三）RowSimilarityJob验证(二)

normsPath=================

{107:25.0,106:32.0,105:32.5,104:56.25,103:44.25,102:24.25,101:76.25}

maxValues=================

{}

numNonZeroEntries=================

{}

pairwiseSimilarityPath=================

{102={106:0.14972506706560876,105:0.14328432723886902,104:0.12789210656028413,103:0.1975496259559987}, 103={106:0.1424339656566283,105:0.11208890297777215,104:0.14037600977966974}, 101={107:0.10275248635596666,106:0.1424339656566283,105:0.1158457425543559,104:0.16015261286229274,103:0.15548737703860027,102:0.14201473202245876}, 106={}, 107={}, 104={107:0.13472338607037426,106:0.18181818181818182,105:0.16736577623297264}, 105={107:0.2204812092115424,106:0.14201473202245876}}

similarityMatrix=================

{102={101:0.14201473202245876,106:0.14972506706560876,105:0.14328432723886902,104:0.12789210656028413,103:0.1975496259559987}, 103={101:0.15548737703860027,106:0.1424339656566283,105:0.11208890297777215,104:0.14037600977966974,102:0.1975496259559987}, 101={107:0.10275248635596666,106:0.1424339656566283,105:0.1158457425543559,104:0.16015261286229274,103:0.15548737703860027,102:0.14201473202245876}, 106={101:0.1424339656566283,105:0.14201473202245876,104:0.18181818181818182,103:0.1424339656566283,102:0.14972506706560876}, 107={105:0.2204812092115424,104:0.13472338607037426,101:0.10275248635596666}, 104={107:0.13472338607037426,106:0.18181818181818182,105:0.16736577623297264,103:0.14037600977966974,102:0.12789210656028413,101:0.16015261286229274}, 105={107:0.2204812092115424,106:0.14201473202245876,104:0.16736577623297264,103:0.11208890297777215,102:0.14328432723886902,101:0.1158457425543559}}

其中第一个weights就和分析的一模一样，这里就不再相信写了。那就只分析pairwiseSimilarityPath和similarityMatrix了：