Paypal, Inc.

Rey Neo

Chun Kiat Ho

Lin Song

Kai Xie

Kim Dung Bui

Jun Zhang

Fei Li

Quan Jin Ferdinand Tang

Yuzhen Zhuo

Xiaohan Yun

Hewen Wang

Pengshan Zhang

Edwin Boaz Soenaryo

Karl Anton Hennig

Thomas Anthony Doran

Van Hoang Nguyen

Sandro Cavallari

Jyothish Kozhipurath

Meng Zang

Quin Zuo

Harsha Singalreddy

Vipul Jain

Nilotpal Paul

Anurag Singh

Jerry Tso

Lei Xu

Mihir Sirohi

Jie How Ko

RaviKumar PhoolChand Vishwakarma

Anu Kumari

Atul Kumar Agrawal

Methods and systems for content distribution and management are presented. A transaction flow for conducting different stages of a transaction is determined in response to a request for the transaction from an application executable at a user device. The transaction flow includes a sequence of content pages to be displayed within a graphical user interface (GUI) of the application over the different stages of the transaction. The content associated with a tagged UI element of at least one content page is identified. The content is validated for the tagged UI element of the at least one content page, based on a software and hardware configuration of the user device. The validated content is provided via a network to the application at the user device to be displayable with the tagged UI element on the at least one content page of the transaction flow during a corresponding stage of the transaction.

Artificial intelligence (AI) engine for dynamic content distribution and management

Systems and methods are presented for providing a response to a user query. Reception of a user query is detected. An augmentation machine learning model is utilized to determine one or more variations of the user query that correspond to a semantic meaning of the user query. A plurality of response candidates is determined that correspond to the user query by comparing the user query and the one or more variations of the user query to a plurality of documents. A final response candidate is determined from the plurality of response candidates based on utilizing a semantic machine learning model to perform a semantic comparison between the plurality of response candidates and at least the user query.

Systems and methods for determining a response to a user query

Aspects of the present disclosure involve systems, methods, devices, and the like for generating highly scalable temporal graph databases. In one embodiment, a novel architecture is presented that enables the identification of mutation or changes in graphs. For the identification a combination of graph-based modeling and journal entry is used. Events occurring are consumed and changes are ingested, transformed for use by a graph simulation system. The changes are journaled using a vertex centric temporal journaling schema.

System and method for generating highly scalable temporal graph database

Aspects of the present disclosure involve systems, methods, devices, and the like for an end-to-end solution to auto-identifying features. In one embodiment, a novel architecture is presented that enables the identification of optimal features and feature processes for use by a machine learning model. The novel architecture introduces a feature orchestrator for managing, routing, and retrieving the data and features associated with analytical job request. The novel architecture also introduces a feature store designed to identify, rank, and store the features and data used in the analysis. To aid in identifying the optimal features and feature processes, a training system may also be included in the solution which can perform some of the training and scoring of the features.

Solution to end-to-end feature engineering automation

Growing community of inventors

Singapore, Singapore

Rey Neo