公开(公告)号：US09691096B1

公开(公告)日：2017-06-27

申请号：US14027848

申请日：2013-09-16

Applicant: Amazon Technologies, Inc.

Inventor： Siyang Dai

IPC: G06Q30/00 ,  G06Q30/06

CPC classification number: G06Q30/0631

Abstract: Customer interactions with one or more pages associated with an online marketplace may be aggregated into historical navigational patterns, which may be associated with one or more items available for purchase at the online marketplace. Where a series or sequence of customer interactions is subsequently received from a customer, such interactions may also be aggregated into a pattern, which may be compared to one or more of the historical navigational patterns. An item recommendation may be identified for the customer based at least in part on the comparison of the received navigational pattern to one or more of the historical navigational patterns. The item recommendation may include an item previously purchased following one of the historical navigational patterns, or an item related to one or more such items.

公开(公告)号：US09280593B1

公开(公告)日：2016-03-08

申请号：US13949526

申请日：2013-07-24

Applicant: Amazon Technologies, Inc.

Inventor： Aaron James Dykstra ,  Diwakar Chakravarthy ,  Siyang Dai

IPC: G06F17/30

CPC classification number: G06F17/30598

Abstract: A method of categorizing data points is described which, when combined with a clustering algorithm, provides groupings of data points that have an improved confidence interval. The method can be used to find an optimal number of groupings for a dataset, which in turn allows a user to categorize a group of data points for processing. In some examples, a dataset containing a number of data points may be accessed. Additionally, in some aspects, groupings of data points within the dataset may be grouped based at least in part on similarities between the data. Further, a number of groupings of data points may be adjusted so that the distance between the data points within one or more groupings of data points may fit within a confidence level.

Abstract translation: 描述了对数据点进行分类的方法，当与聚类算法组合时，提供具有改进的置信区间的数据点的分组。 该方法可用于找到数据集的最佳分组数，这又允许用户对一组数据点进行分类以进行处理。 在一些示例中，可以访问包含多个数据点的数据集。 另外，在一些方面，可以至少部分地基于数据之间的相似性来对数据集内的数据点进行分组。 此外，可以调整多个数据分组，使得一个或多个数据点分组之间的数据点之间的距离可以适合置信水平。

公开(公告)号：US09727633B1

公开(公告)日：2017-08-08

申请号：US15048904

申请日：2016-02-19

Applicant: Amazon Technologies, Inc.

Inventor： Aaron James Dykstra ,  Siyang Dai ,  Diwakar Chakravarthy

IPC: G06F17/30

CPC classification number: G06F17/30598

Abstract: A method of categorizing data points is described which, when combined with a clustering algorithm, provides groupings of data points that have an improved confidence interval. The method can be used to find an optimal number of groupings for a dataset, which in turn allows a user to categorize a group of data points for processing. In some examples, a dataset containing a number of data points may be accessed. Additionally, in some aspects, groupings of data points within the dataset may be grouped based at least in part on similarities between the data. Further, a number of groupings of data points may be adjusted so that the distance between the data points within one or more groupings of data points may fit within a confidence level.