公开(公告)号：US20240256589A1

公开(公告)日：2024-08-01

申请号：US18159726

申请日：2023-01-26

Applicant: ADOBE INC.

Inventor： Vibhor Porwal ,  Aaron Jerry Ninan ,  Adit Akarsh ,  Aryan Yadav ,  Nischay ,  Ramasuri Narayanam ,  Iftikhar Ahamath Burhanuddin

IPC: G06F16/34 ,  G06F16/35 ,  G06F40/40

CPC classification number: G06F16/345 ,  G06F16/35 ,  G06F40/40

Abstract: Systems and methods for data narration are provided. One aspect of the systems and methods includes obtaining a dataset including a plurality of data elements, wherein each of the data elements includes a plurality of attributes; clustering the plurality of data elements to obtain a plurality of data segments; extracting a plurality of facts from the dataset based on the plurality of data segments; generating a graph including a plurality of nodes corresponding to the plurality of facts, respectively; computing an ordering of the plurality of facts based on the graph; and generating a description of the dataset based on the ordering of the plurality of facts.

公开(公告)号：US20240303662A1

公开(公告)日：2024-09-12

申请号：US18181018

申请日：2023-03-09

Applicant: ADOBE INC.

Inventor： Raunak Shah ,  Harshvardhan . ,  Mohit Kumar ,  Shambhavi Pardhi ,  Alakh Dixit ,  Shaddy Garg ,  Shiv Kumar Saini ,  Ramasuri Narayanam

IPC: G06Q20/40 ,  G06Q20/38

CPC classification number: G06Q20/4016 ,  G06Q20/389

Abstract: Systems and methods for identifying fraudulent activity in NFT exchanges are described. Embodiments of the present disclosure obtain transaction data for non-fungible tokens (NFTs) and generate a transaction graph based on the transaction data. The transaction graph includes nodes corresponding to blockchain addresses and nodes corresponding to individual NFTs. Embodiments additionally identify a cycle of the transaction graph, predict a fraudulent activity based on the cycle using a machine learning model, and transmit an alert to a user indicating the predicted fraudulent activity.