公开(公告)号：US11960459B1

公开(公告)日：2024-04-16

申请号：US17490939

申请日：2021-09-30

Applicant: Amazon Technologies, Inc.

Inventor： Jan Henrik Jonsson ,  Shadie Hijazi ,  Davor Golac ,  Kuangyou Yao ,  Yang Song ,  Shobhit Gupta ,  Ian James Boetius MacClancy ,  Lanxin Zhang ,  Hongtao Liu ,  Austin M Nevins ,  Amy Lee ,  Meng Xiao Wang ,  Blake Stephens

IPC: G06F16/00 ,  G06F16/215 ,  G06F16/23 ,  G06F16/25 ,  H04M3/51

CPC classification number: G06F16/215 ,  G06F16/2358 ,  G06F16/258 ,  H04M3/51

Abstract: Systems and methods are described for merging customer profiles, such as may be implemented by a computer-implemented contact center service. In some aspects, a subset of profiles may be determined that satisfy merging criteria, where individual profiles include a plurality of data fields. At least one value in a first data field that conflicts between at least two profiles may be identified. Next a merged value may be selected for the first data field based on data deduplication criteria, where the data deduplication criteria includes at least one indicator of accuracy of values of the plurality of data fields. As a result of a determination that at least the subset of profiles of the group of profiles meet the merging criteria, at least the subset of profiles may be combined into a combined profile using the merged value.

公开(公告)号：US12019983B1

公开(公告)日：2024-06-25

申请号：US17360890

申请日：2021-06-28

Applicant: Amazon Technologies, Inc.

Inventor： Luyang Kong ,  Christoper Winestock ,  Parminder Bhatia ,  Meng Xiao Wang ,  Siddhi Pathak

IPC: G06F40/247 ,  G06F16/36 ,  G06F16/901 ,  G06N5/02 ,  G06N5/022

CPC classification number: G06F40/247 ,  G06F16/367 ,  G06F16/9024 ,  G06N5/02 ,  G06N5/022

Abstract: Techniques for generating a dataset from a knowledge graph are described. An exemplary method includes receiving a request to generate a dataset from a knowledge graph to be stored in the storage; generating a dataset comprising a plurality of mention-concept pairs from the knowledge graph according to the request based one or more of a synonym-based and graph-based evaluation of the knowledge graph and a custom ontology for the knowledge graph; and storing the generated dataset in the storage.