Yahoo! Inc.

Oath Inc.

Verizon Patent and Licensing Inc.

Verizon Media Inc.

Yahoo Assets LLC

Yahoo Holdings, Inc.

Jeffrey Bonforte

Adam Douglas Smith

David Scott Robinson

Varun Bhagwan

Matthew Brezina

Doug Sharp

Victor Chen

Gowri Kanugovi

Sol Lipman

Yoelle Smadja Maarek

Dan S Pelleg

Ido Guy

Kevin K Cheng

Idan Szpektor

Alexander Nus

Michael Holzer

Steven Lipman

Christopher T Szeto

Brian Tadao Kobashikawa

Gary Clayton

Patrick Jean

Rebecca L Bochatey

Jeffrey Robert Ettenhofer

Disclosed are systems and methods for automatically deleting messages from a recipient's inbox. The disclosed systems and methods provide the ability for automatic actions to be taken on delivered messages based on a passage of time. This enables a sender of messages, email service provider and/or email platform to exert control over sent messages to limit the number and type of operations that may be performed on such messages. For example, operations such as saving, forwarding, printing, copying, or otherwise duplicating the message and/or message data can be prohibited and all together rendered impossible. The disclosed systems and methods enables the purging of messages and associated message data from a recipient's inbox at a certain specified time, after the passage of a pre-determined amount of time, or upon the detection of a specified event.

System and method for self-destructing messages

Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosure provides a novel, computerized framework for automatically identifying and recommending socially-engaging photos to their creators for sharing. Execution of the disclosed systems and methods turns a tedious manual chore into an automated, software-driven process. The disclosed systems and methods utilizes a novel, computerized learn-to-rank (LTR) algorithm for identifying the most engaging, socially driven photos by: (a) grouping near-duplicate photos; (b) selecting a representative photo for sharing per group; and (c) ranking of the groups by their likelihood to contain a 'shareable' photo.

Computerized system and method for automatically determining and providing digital content within an electronic communication system

Disclosed are systems and methods for location tracking. In one embodiment, an apparatus receives a message sent to a user of a mobile device in a wireless network, and a processor determines at least one location parameter. Data is extracted from the message, and initiation of a computing function (e.g., transmission of a communication to the mobile device) is triggered by a match between the location and the data from the message.

System and method for mobile device location tracking with a communication event trigger in a wireless network

One or more systems and/or techniques for generating a content item from content within a content area are described herein. A first boundary and a second boundary may be defined for a content area based upon a first user input and a second user input, such as swipe gestures. A content item may be generated based upon content within the content area. In an example, a beginning boundary designator may be displayed for the first boundary and an ending boundary designator may be displayed for the second boundary in response to one or more swipe gestures of a user interface. In an example, the content item may be stitched to a second content item to create a stitched content item.

Content selection

Systems and methods to process and/or present information relating to voice messages for a user that are received from other persons. In one embodiment, a method implemented in a data processing system includes: receiving first data associated with prior communications or activities for a first user on a mobile device; receiving a voice message for the first user; transcribing the voice message using the first data to provide a transcribed message; and sending the transcribed message to the mobile device for display to the user.

Systems and methods to present voice message information to a user of a computing device

Among other disclosures, a method may include collecting historical communication data and personal data relating to a portion of a plurality of communications, a sender of one or more of the communications or one or more recipients of the communications. The method may include depositing the collected data into a repository of historical communication data and personal data. The method may include presenting one or more items in the repository on a mobile device, in response to user behavior.

Method and system for collecting and presenting historical communication data for a mobile device

Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. A novel, computerized framework for automatically identifying and recommending socially-engaging photos to their creators for sharing is provided. Execution of the disclosed framework turns a tedious manual chore into an automated, software-driven process. The disclosed framework utilizes a novel, computerized learn-to-rank (LTR) algorithm for identifying the most engaging, socially driven photos by: (a) grouping near-duplicate photos; (b) selecting a representative photo for sharing per group; and (c) ranking of the groups by their likelihood to contain a 'shareable' photo.

Systems and methods to present information to a user regarding favorite contacts of the user. In one embodiment, a method includes: storing a plurality of person profiles for persons referenced in communications received by a user of a computing device; selecting, using at least one processor, a set of contacts from the plurality of person profiles based on a relevancy ranking, wherein the set of contacts is selected for display to the user on the computing device; and organizing, using the at least one processor, the set of contacts into at least two time groups, each time group associated with a different time period, wherein contacts will be displayed to the user within each time group based on a relevancy ranking for each contact within the time group.

Presenting favorite contacts information to a user of a computing device

System, methods and computer program products for creating and maintaining an address book are described. The address book may collect or update its existing contact information from sent or received communications. Contact information associated with the existing contacts also may be collected (or updated based on information received) from outside sources (e.g., external to an application hosting or accessing the address book). The address book may intelligently combine profile data from various sources to enrich the existing records associated with the contacts.

Self populating address book

Growing community of inventors

San Francisco, CA, United States of America

Jeffrey Bonforte