Atlassian Corporation Pty Ltd.

Atlassian Us, Inc.

Atlassian Inc.

Jason Phan

Ali Dasdan

Michael Cannon-Brookes

Aaron Gentleman

Lisa Panda

Lennon Liao

Pratima Arora

Ryan-Vincent Alvarez

Steven Brooks

Renato Galindo

Rameil Sarkis

Chen Ling

Happiness Munedzimwe

Connor Lin

Embodiments of the present disclosure provide for improved interoperable data management between a user-accessed software application and an embedded software application. In some contexts, a user-accessed application provides both its own functionality as well as enabling access to functionality of an embedded application. The embedded application is accessed via a data-driven connection that provides several technical advantages and addresses various data interoperability and persistence problems. In some embodiments, a user-accessed application may be configured to provide functionality of multiple embedded applications consistent with the innovations herein described.

System, method, and computer program product for improved embedded application data management

In general, embodiments of the present invention provide methods, apparatuses, systems, computing devices, and/or the like that are configured to enable effective and efficient predictive document recommendation in collaborative document server systems. In one example, a method comprises generating a recommended collaborative document set for a primary collaborative document using a cross-document correlation model that is characterized by a temporally correlated document viewing sequence set and a cross-user correlation model that is characterized by a qualifying user relationship set.

Predictive document recommendation in document collaboration server systems using temporally correlated document viewing sequence sets

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Mountain View, CA, United States of America

Jason Phan