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用MapRedeuce实现阈值Top-k查询算法 Top-k查询定义:给定m个按照降序排列的排序表Li,每张列表包含对象Ox的一个属性在该列的评分,最终结果返回评分最高的前k个对象. 例: P L1 L2 L3 1 2 3 4 5 6 7 如图,m=3,3个按降序排列的列表包含了对象Ox在不同列表中的属性评分, 例如O1在L1的属性,评分为10,在L2的列表中,评分为2,在L3列表中,评分为10分, 所以最后O1的总体得分=10+2+10=22分 Top-k的朴素算法,就是把所有的对象得分计算出来,然后求出总体得分. 这里我设计的算法是: Input：m个排序列表 Output：得分最高的前k个结果 Step1：中心节点从各子节点的数据列上读取前k个位置上的对象O及其分数，计算这些对象的部分和V`(Ox). Step2：对取得部分和最高的两个对象Ox1，Ox2，分别计算其真实值，V(Ox1)和V(Ox2)，并将V(Ox1)和V(Ox2)存入临时候选集合C中，记真实值第k的对象值为τ1，T=τ1/m. Step3：1.各子节点将位置≥T的对象发送给中心节点，中心节点将Step1中未计算对象的部分和V`(O)补全，实值若序列中不存在对象Ox，则将该序列中对象的得分以V=0计算. 2.若序列中存在某对象Oy的值在各个列表中都被访问到，则将对象Oy及其真实值V(Oy)存入临时候选集C中，并更新临时候选集，将此时临时候选集C中的第k位的值记为τ2.…
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