公开(公告)号：US11645300B2

公开(公告)日：2023-05-09

申请号：US17452801

申请日：2021-10-29

Applicant: SAP SE

Inventor： Sudhir Bhojwani ,  Sudha Lakshman ,  Quan Zhang ,  Sandeep Chakravarty ,  Tu Truong ,  Fuming Wu ,  Yue Li ,  Lin Dong ,  Richa Namballa

IPC: G06F16/00 ,  G06F16/25 ,  G06F16/28 ,  G06F16/22 ,  G06F16/2455 ,  G06F16/33 ,  G06F40/10

CPC classification number: G06F16/258 ,  G06F16/2272 ,  G06F16/2455 ,  G06F16/288 ,  G06F16/3335 ,  G06F40/10

Abstract: Provided is a method and system for normalizing catalog item data to create higher quality search results. In one example, the method may include receiving a record comprising an unstructured description of an object, identifying a type of the object from among a plurality of object types and identifying a predefined attribute of the identified type of object, extracting a value from the unstructured description corresponding to the predefined attribute and modifying the extracted value to generate a normalized attribute value, and storing a structured record of the object in a structured format comprising a plurality of values of a plurality of attributes of the object from the unstructured description including the normalized attribute value for the predefined attribute of the object.

公开(公告)号：US10853739B2

公开(公告)日：2020-12-01

申请号：US15618406

申请日：2017-06-09

Applicant: SAP SE

Inventor： Tu Truong ,  Fuming Wu ,  Julio Navas ,  Ajain Kuzhimattathil ,  Hanxiang Chen ,  Nazanin Zaker Habibabadi ,  Omar Rahman ,  Han Li

IPC: G06N20/00 ,  G06N3/08 ,  G06N3/04 ,  G06F3/0481 ,  G06N5/00 ,  G06N20/10 ,  G06N7/00

Abstract: In an example, a machine learning algorithm is used to train an entity risk evaluation model to output an entity risk score based on transaction data in a computer network. Entity risk scores for various entities may be stored in a database, and retrieved and displayed upon user interaction with one or more reports involving corresponding entities.

公开(公告)号：US20180357559A1

公开(公告)日：2018-12-13

申请号：US15618406

申请日：2017-06-09

Applicant: SAP SE

Inventor： Tu Truong ,  Fuming Wu ,  Julio Navas ,  Ajain Kuzhimattathil ,  Hanxiang Chen ,  Nazanin Zaker Habibabadi ,  Omar Rahman ,  Han Li

IPC: G06N99/00

CPC classification number: G06N99/005 ,  G06F3/0481

Abstract: In an example, a machine learning algorithm is used to train an entity risk evaluation model to output an entity risk score based on transaction data in a computer network. Entity risk scores for various entities may be stored in a database, and retrieved and displayed upon user interaction with one or more reports involving corresponding entities.

公开(公告)号：US11194832B2

公开(公告)日：2021-12-07

申请号：US16129996

申请日：2018-09-13

Applicant: SAP SE

Inventor： Sudhir Bhojwani ,  Sudha Lakshman ,  Quan Zhang ,  Sandeep Chakravarty ,  Tu Truong ,  Fuming Wu ,  Yue Li ,  Lin Dong ,  Richa Namballa

IPC: G06F16/00 ,  G06F16/25 ,  G06F16/28 ,  G06F16/22 ,  G06F16/2455 ,  G06F16/33 ,  G06F40/10

Abstract: Provided is a method and system for normalizing catalog item data to create higher quality search results. In one example, the method may include receiving a record comprising an unstructured description of an object, identifying a type of the object from among a plurality of object types and identifying a predefined attribute of the identified type of object, extracting a value from the unstructured description corresponding to the predefined attribute and modifying the extracted value to generate a normalized attribute value, and storing a structured record of the object in a structured format comprising a plurality of values of a plurality of attributes of the object from the unstructured description including the normalized attribute value for the predefined attribute of the object.

公开(公告)号：US20200089800A1

公开(公告)日：2020-03-19

申请号：US16129996

申请日：2018-09-13

Applicant: SAP SE

Inventor： Sudhir Bhojwani ,  Sudha Lakshman ,  Quan Zhang ,  Sandeep Chakravarty ,  Tu Truong ,  Fuming Wu ,  Yue Li ,  Lin Dong ,  Richa Namballa

IPC: G06F17/30 ,  G06F17/21

Abstract: Provided is a method and system for normalizing catalog item data to create higher quality search results. In one example, the method may include receiving a record comprising an unstructured description of an object, identifying a type of the object from among a plurality of object types and identifying a predefined attribute of the identified type of object, extracting a value from the unstructured description corresponding to the predefined attribute and modifying the extracted value to generate a normalized attribute value, and storing a structured record of the object in a structured format comprising a plurality of values of a plurality of attributes of the object from the unstructured description including the normalized attribute value for the predefined attribute of the object.