公开(公告)号：US10339586B1

公开(公告)日：2019-07-02

申请号：US13974877

申请日：2013-08-23

Applicant: Amazon Technologies, Inc.

Inventor： Samir Bhayyaji Khobragade ,  Qian Chen

IPC: G06Q30/06

Abstract: Methods and apparatus are described for identifying similar products or services for the purpose of making relevant recommendations to an online consumer. Products and services are represented by associated vectors which include values for each of a plurality of attributes of the corresponding product or service. One or more similar products or services are identified relative to a reference product or service set with reference to the distance between the end points of the respective vectors in the associated vector space.

公开(公告)号：US09122943B1

公开(公告)日：2015-09-01

申请号：US13929679

申请日：2013-06-27

Applicant: Amazon Technologies, Inc.

Inventor： Richard John Muszynski ,  Scott Robert Parish ,  Clayton Matthew Magouyrk ,  Samir Bhayyaji Khobragade ,  Michael Christopher Wenneman

IPC: G06K9/00 ,  G06K9/34 ,  G09G5/00 ,  G06K9/18

CPC classification number: G06K9/033 ,  G06K9/00476

Abstract: Various embodiments provide a method for randomly selecting a region on a map for testing and a map of the region can be generated using multiple map rendering engines. A screenshot of each of the generated maps can be obtained and text associated with map labels, such as street, city, and attraction names, can be recognized using an optical character recognition (OCR) engine. At this point, the recognized text from each rendering engine can then be compared to identify at least one error or inconsistency. In at least one embodiment, categories of errors that need most attention in the specific geographic areas can be identified and a human quality assurance tester can isolate these instances and narrow down the same to identify the rendering or data problem.

Abstract translation: 各种实施例提供了用于随机选择地图上用于测试的区域的方法，并且可以使用多个地图渲染引擎来生成区域的映射。 可以获得每个生成的地图的屏幕截图，并且可以使用光学字符识别（OCR）引擎识别与地图标签相关联的文本，例如街道，城市和景点名称。 此时，可以比较来自每个渲染引擎的识别文本以识别至少一个错误或不一致。 在至少一个实施例中，可以识别在特定地理区域中需要最多关注的错误类别，并且人类质量保证测试者可以隔离这些实例并将其缩小以识别呈现或数据问题。