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METHOD AND DEVICE FOR ANALYSIS OF DEGREE OF INFLUENCE AND PROGRAM THEREFOR

机译:影响程度及其程序分析的方法和装置

摘要

PROBLEM TO BE SOLVED: To accurately estimate the degree of an influence to a user from others when browsing content.;SOLUTION: A unit 230 for calculating a feature score of the influence degree clusters a first content list that a user has browsed a plurality of pieces of content as a list and a second content list that a user has browsed a content body from the first content list, obtains analysis parameters S, M, a and m from the first and second content lists for each cluster, calculates a first probability where the number of contents in which concept appears in the second content list becomes m or more and a second probability where the number of contents becomes m or less under the condition of S, M and a, and calculates a feature score of the influence degree by an inverse function of a cumulative distribution function of standard normal distribution on the basis of the first probability and the second probability. A unit 240 for update processing of a concept system of the influence degree for each person/group updates an influence degree score for concept by using the feature score of the influence degree calculated for each cluster.;COPYRIGHT: (C)2013,JPO&INPIT
机译:解决的问题:为了准确地估计浏览内容时他人对用户的影响程度。解决方案:用于计算影响程度的特征分数的单元230将用户已经浏览了多个内容的第一内容列表聚类。用户已从第一内容列表浏览了内容主体的内容列表和第二内容列表,并从第一和第二内容列表中获得了每个聚类的分析参数S,M,a和m,并计算了第一概率在S,M和a的条件下,其中在第二内容列表中出现概念的内容的数量变为m或更大,并且使内容数量变为m或更低的第二概率,并计算影响度的特征得分通过基于第一概率和第二概率的标准正态分布的累积分布函数的逆函数。用于每个人/组的影响度的概念系统的更新处理的单元240通过使用针对每个集群计算的影响度的特征分数来更新用于概念的影响度分数。;版权所有:(C)2013,JPO&INPIT

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