公开(公告)号：US20250029172A1

公开(公告)日：2025-01-23

申请号：US18355994

申请日：2023-07-20

Applicant: Oracle International Corporation

Inventor： Suresh Kumar Golconda ,  Amit Arora

IPC: G06Q30/0601

Abstract: The present disclosure relates to systems and methods for using an artificial intelligence technique for determining a source score based on stretched normalization. A natural language query can be received and mapped. Sources can be identified, and actions can be taken with respect to each source. The actions can include determining an item-source metric, transforming the item-source metric using a stretched-normalization factor, and generating a source score based on the transformed item-source metric. A response to the natural language query can be generated based on the source score, and the response can be output.

公开(公告)号：US20230315798A1

公开(公告)日：2023-10-05

申请号：US17711831

申请日：2022-04-01

Applicant: Oracle International Corporation

Inventor： Suresh Kumar Golconda ,  Saurabh Thapliyal ,  Khaja Moinuddin Shaik Mohammed ,  Amit Arora

IPC: G06F16/957 ,  G06F16/9538 ,  G06F16/954

CPC classification number: G06F16/957 ,  G06F16/9538 ,  G06F16/954

Abstract: A processor may receive a request for a query item may include a plurality of identifying markers, relating to data associated with the query item. A machine learning model, trained to identify similar items according to the plurality of identifying markers, may then process the plurality of identifying markers and provide a list of one or more similar items and respective similarity distances. The processor may access a respective entity profile including one or more scenario scores for each of the similar items. The processor may then calculate an entity score for each respective entity profile using the respective similarity distances and the scenario scores. The processor may then generate an entity list by ranking the respective entities associated with each respective entity profile using the entity score. The processor may then output the entity list to the client device.

公开(公告)号：US12189706B2

公开(公告)日：2025-01-07

申请号：US17711831

申请日：2022-04-01

Applicant: Oracle International Corporation

Inventor： Suresh Kumar Golconda ,  Saurabh Thapliyal ,  Khaja Moinuddin Shaik Mohammed ,  Amit Arora

IPC: G06F16/9035 ,  G06F16/904 ,  G06F16/9535 ,  G06F16/9538 ,  G06F16/954 ,  G06F16/957

Abstract: A processor may receive a request for a query item may include a plurality of identifying markers, relating to data associated with the query item. A machine learning model, trained to identify similar items according to the plurality of identifying markers, may then process the plurality of identifying markers and provide a list of one or more similar items and respective similarity distances. The processor may access a respective entity profile including one or more scenario scores for each of the similar items. The processor may then calculate an entity score for each respective entity profile using the respective similarity distances and the scenario scores. The processor may then generate an entity list by ranking the respective entities associated with each respective entity profile using the entity score. The processor may then output the entity list to the client device.