公开(公告)号：US20150345969A1

公开(公告)日：2015-12-03

申请号：US14503074

申请日：2014-09-30

Applicant: Apple Inc.

Inventor： Christine B. McGavran ,  François M. Jouaux ,  David Luper ,  Christophe Hivert ,  Rama Krishna Chitta

IPC: G01C21/34 ,  G06Q30/02 ,  G06F17/30

CPC classification number: G06Q30/0205 ,  G01C21/32 ,  G06F17/30598

Abstract: Georeferenced transaction data is harvested (“crowd-sourced”) from client devices and sent to a network-based map service. The map service performs cluster analysis on location data points in the harvested data, resulting in one or more clusters representing local densities of transaction occurrences. Data vectors including supplemental data are obtained from one or more vendors. Location data points included in the data vectors are compared to center coordinates of the one or more clusters and the closest matching cluster/vector pair provides a mapping to POI data in a POI database. The mapped POI data is updated with the supplemental data. In some implementations, transaction timestamps in the harvested data are used to estimate the business hours of a business POI.

Abstract translation: 从客户端设备收集地理参考交易数据（“人群来源”），并将其发送到基于网络的地图服务。 地图服务对采集的数据中的位置数据点进行聚类分析，从而产生一个或多个表示交易事件的局部密度的群集。 包括补充数据的数据向量从一个或多个供应商获得。 将包含在数据向量中的位置数据点与一个或多个簇的中心坐标进行比较，并且最接近的匹配簇/向量对提供POI数据库中的POI数据的映射。 映射的POI数据用补充数据更新。 在一些实现中，采集的数据中的交易时间戳用于估计业务POI的营业时间。

公开(公告)号：US09646318B2

公开(公告)日：2017-05-09

申请号：US14503074

申请日：2014-09-30

Applicant: Apple Inc.

Inventor： Christine B. McGavran ,  François M. Jouaux ,  David Luper ,  Christophe Hivert ,  Rama Krishna Chitta

IPC: G01C21/34 ,  G06Q30/02 ,  G06F17/30 ,  G01C21/32

CPC classification number: G06Q30/0205 ,  G01C21/32 ,  G06F17/30598

Abstract: Georeferenced transaction data is harvested (“crowd-sourced”) from client devices and sent to a network-based map service. The map service performs cluster analysis on location data points in the harvested data, resulting in one or more clusters representing local densities of transaction occurrences. Data vectors including supplemental data are obtained from one or more vendors. Location data points included in the data vectors are compared to center coordinates of the one or more clusters and the closest matching cluster/vector pair provides a mapping to POI data in a POI database. The mapped POI data is updated with the supplemental data. In some implementations, transaction timestamps in the harvested data are used to estimate the business hours of a business POI.