Tune, Inc.

Myst Ai Inc.

Lucas Merrill Brown

Pieter Joris Verhoeven

Sean James MacPherson

Allison Leigh Fero

Niek Sanders

Titiaan Frans Marie Palazzi

This patent specification relates to systems and methods that use networks of standardized time series and models in a generic and extensible platform. More particularly, this patent specification relates to standardizing time series and models, using standardized time series and models in a network of time series (NOTS), and creating networks of time series in a NOTS platform. In addition, this patent specification relates to use of nodes that can be arranged in any user defined order, and each node is evaluated to return a time array that may be used to populate a time series. A layering framework may be used to define how each node is evaluated.

Systems and methods for networks of time series

In some embodiments, a tracking system is provided for providing credit to advertisers for application installs and in-application events. The tracking system may be configured to use user account information from a content provider system to determine whether a user of a newly installed application is a new user of the content provider system or an existing user of the content provider system, and to update tracking information accordingly. The tracking system may also use the user account information from the content provider system to link actions on multiple computing devices for the purposes of attributing a given application install to one or more advertising providers.

Systems and methods for tracking application installs that distinguish new users from existing users without directly accessing user account records

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Seattle, WA, United States of America

Lucas Merrill Brown