公开(公告)号：US10726060B1

公开(公告)日：2020-07-28

申请号：US14749554

申请日：2015-06-24

Applicant: Amazon Technologies, Inc.

Inventor： Archiman Dutta ,  Shoubhik Bhattacharya ,  Subhadeep Chakraborty ,  Deepak Kumar Nayak ,  Nathan Rose ,  Avik Sinha

IPC: G06F16/35 ,  G06Q30/06 ,  G06N20/00 ,  G06F16/28

Abstract: A technology for determining accuracy estimates for classifications used in an electronic catalog. In one example, classifications for product groupings included in an electronic catalog may be updated as a result of the classifications inaccurately representing products included in the product groupings. The electronic catalog of products may be grouped into a plurality of product groupings using classifications. Classifications of product groupings that inaccurately represent products included in the product grouping may be updated with suggested classifications. Update metrics for updates made to the grouping classifications may be collected and the update metrics may be used to calculate an accuracy estimate for the classifications used in the electronic catalog.

公开(公告)号：US10909144B1

公开(公告)日：2021-02-02

申请号：US14640974

申请日：2015-03-06

Applicant: Amazon Technologies, Inc.

Inventor： Archiman Dutta ,  Shoubhik Bhattacharya ,  Deepak Kumar Nayak ,  Avik Sinha

IPC: G06F16/28 ,  G06F16/242

Abstract: Methods, systems, and computer-readable media for taxonomy generation with automated analysis and auditing are disclosed. A primary classification is determined for a hierarchical taxonomy of items in a marketplace. The primary classification is selected from a plurality of terms describing items in the marketplace, and the primary classification is selected based at least in part on automated analysis of the terms. A plurality of secondary classifications are determined for the hierarchical taxonomy. The secondary classifications are selected from the terms describing the items in the marketplace, and the secondary classifications are selected based at least in part on automated analysis of the terms. The hierarchical taxonomy is modified based at least in part on feedback from a plurality of users. The feedback comprises one or more terms entered by one or more of the users to filter a set of items.