公开(公告)号：US20150363802A1

公开(公告)日：2015-12-17

申请号：US14085086

申请日：2013-11-20

Applicant: Google Inc.

Inventor： Hal Ronald Varian ,  Seth Stephens-Davidowitz ,  Jeffrey David Oldham

IPC: G06Q30/02

CPC classification number: G06Q30/0203

Abstract: Survey accuracy of small sample sizes may be amplified by including, excluding, or weighting survey responses of respondents responsive to characteristics of the respondent being correlated with or not correlated with characteristics of the population determined from aggregated behavioral histories of the population, resulting in favoring survey results of individuals that are truly representative of the larger population and excluding results from outliers. Search queries from devices in a particular region may be aggregated to identify common searches, building a model of characteristics of the regional population without requiring any private or confidential data of the population. Surveys may be given to a small number of individuals in the region, and if the individual's characteristics match the modeled regional characteristics, then the individual's survey responses may be used to build a statistical estimate of responses from the region, at a higher degree of confidence than allowed by mere random sampling.

Abstract translation: 通过包括，排除或加权响应于受访者的特征的调查回答的调查准确性可以被放大，该受访者的特征与人口的聚合行为历史确定的人群特征相关或不相关，从而有利于调查 真正代表较大人口的个人的结果，并排除异常值的结果。 来自特定区域的设备的搜索查询可以被聚合以识别常见的搜索，构建区域人群的特征模型，而不需要人口的任何私人或机密数据。 可能会对该地区的少数个人进行调查，如果个人的特征与模拟的区域特征相匹配，那么可以使用个人的调查回答来建立来自该地区的反应的统计估计，在更高的信心度 比纯粹随机抽样所允许。