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Efficient Data Layout Techniques for Fast Machine Learning-Based Document Ranking

机译:用于基于机器学习的快速文档排名的高效数据布局技术

摘要

A computer readable medium stores a program for optimization for a search, and has sets of instructions for receiving a first decision tree. The first decision tree includes several nodes, and each node is for comparing a feature value to a threshold value. The instructions are for weighting the nodes within the first decision tree, determining the weighted frequency of a first feature within the first decision tree, and determining the weighted frequency of a second feature within the first decision tree. The instructions order the features based on the determined weighted frequencies, and store the ordering such that values of features having higher weighted frequencies are retrieved more often than values of features having lower weighted frequencies within the first decision tree.
机译:计算机可读介质存储用于优化搜索的程序,并且具有用于接收第一决策树的指令集。第一决策树包括多个节点,并且每个节点用于将特征值与​​阈值进行比较。指令用于加权第一决策树内的节点,确定第一决策树内的第一特征的加权频率以及确定第一决策树内的第二特征的加权频率。指令基于确定的加权频率对特征进行排序,并存储该排序,以使得在第一决策树中,具有较高加权频率的特征的值比具有较低加权频率的特征的值更频繁地被检索。

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