Snap Inc.

Ye Tao

Yuncheng Li

Yiwei Ma

Xuan Huang

Harsh Agrawal

Jung Hyun Kim

Tao Ning

Mehrdad Jahangiri

The present invention relates to improvements to systems and methods for filtering a data set. An audience filtering system is configured to perform operations that include accessing a database that comprises user profile data associated with a plurality of users, generating a bit-set based on the user profile data from the database, wherein the bit-set comprises an array of binary values, receiving a user input e.g., via a GUI) that defines one or more filter criteria (e.g., a value of a user attribute), filtering the bit-set based on the one or more filter criteria, and identifying a subset of the plurality of users based on the filtered bit-set, according to certain example embodiments.

Audience filtering system

Systems, methods, devices, computer readable instruction media, and other embodiments are described for automated image processing and insight presentation. One embodiment involves receiving a plurality of ephemeral content messages from a plurality of client devices, and processing the messages to identify content associated with at least a first content type. A set of analysis data associated with the first content type is then generated from the messages, and portions of the messages associated with the first content type are processed to generate a first content collection. The first content collection and the set of analysis data are then communicated to a client device configured for a display interface comprising the first content collection and a representation of at least a portion of the set of analysis data.

Automated image processing and insight presentation

The present invention relates to improvements to systems and methods for filtering a data set. An audience filtering system is configured to perform operations that include accessing a database that comprises user profile data associated with a plurality of users, generating a bit-set based on the user profile data from the database, wherein the bit-set comprises an array of binary values, receiving a user input (e.g., via a GUI) that defines one or more filter criteria (e.g., a value of a user attribute), filtering the bit-set based on the one or more filter criteria, and identifying a subset of the plurality of users based on the filtered bit-set, according to certain example embodiments.

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Culver, CA, United States of America

Ye Tao