Amplitude

Oath Inc.

William Robert Pentney

Eric Pollmann

Muhammad Bilal Mahmood

Cynthia Rogers

Timothy Patrick Daly, Jr

Wei-Cheng Lai

Su-Lin Wu

Zachery Abe Miranda

Mustafa Paksoy

Systems and methods for data ingestion in real time are described herein. In an embodiment, a server computer receives a message comprising one or more client events from a storage device which publishes the message in response to storing the one or more client events. The server computer stores the one or more client events as raw event strings which are then parsed into parsed event strings. Identity resolution methods are performed on the parsed event strings. Feature groups are then identified in the parsed event strings and used to generate aggregation keys which are used to aggregate the feature groups prior to storing aggregated data in one or more aggregation tables.

Real time system for ingestion, aggregation, and identity association of data from user actions performed on websites or applications

Implementations described herein relate to methods, systems, and computer-readable media for automated generation and use of a machine learning (ML) model to provide recommendations. In some implementations, a method includes receiving a recommendation specification that includes a content type and an outcome identifier, and determining model parameters for a ML model based on the recommendation specification. The method further includes generating a historical user feature matrix (FM), generating a historical content feature matrix (FM), and transforming the historical user FM and the historical content FM into a suitable format for the ML model. The method further includes obtaining a target dataset that includes historical results for the outcome identifier for a plurality of pairs of user identifiers and content items of the content type. The method further includes training the ML model using supervised learning to generate a ranked list of content items for each user identifier.

Automated machine learning to generate recommendations for websites or applications

The present invention is directed towards systems and methods for providing a microdocument framework. The method and system includes receiving a plurality microdocuments and detecting content data for each of the plurality of microdocuments. The method and system further includes indexing at least a portion of the plurality of microdocuments based on the detected content and performing a searching operation using the content data associated with the microdocument data to determine a microdocument set. Thereupon, the method and system performs at least processing one operation on the microdocument set.

Systems and methods for providing a microdocument framework for storage, retrieval, and aggregation

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San Francisco, CA, United States of America

William Robert Pentney