Aol Inc.

Oath Inc.

Yahoo Assets LLC

Verizon Patent and Licensing Inc.

Yahoo Ad Tech LLC

Verizon Media Inc.

William G Wetherell

David J Liu

David Gee Louie

Mike Macadaan

Brian Behnke

James D Simmons

Douglas Hamman

Sudhir Tonse

Marc A Katchay

Arun K Ranganathan

Joshua S Ramirez

Gabriela Meirelles Moore

Kiersten L Lammerding

Marcel Becker

Alan Eyzaguirre

Seth Halvaksz

Jeffry B Sabat

Richard A Landsman

Karl Andrew Dotter

Richard T Kramer

Jeremiah Daniel Shaw

Wendy Charlene Perlson

Rob Metzgar

Kiersten Lea Lammerding

Systems and methods are provided for electronically distributing messages over communication channels. In accordance with one implementation, a system is provided that comprises at least one database for storing instructions for operating an input field and transmitting messages over a plurality of different communication channels, and at least one processing system configured to execute the instructions, to perform a method. The method may include displaying to a user, over a network, an input field for entering messages and receiving from the user, over the network and by entry into the input field, a message, an identification of one or more recipients, and a selection of at least one communication channel. The method may also include determining whether an identifier is stored in relation to each recipient for the selected communication channel and electronically sending, to each recipient with a stored identifier, the message via the selected communication channel.

Systems and methods for electronic distribution of messages over communication channels

Systems and methods for personalization using image clouds to represent content. Image clouds can be used to identify initial user interest, present recommended content, present popular content, present search results, and present user profile information. Image clouds are interactive, allowing users to select images displayed in the image cloud, which can contribute to presenting more personalized content as well as updating a user's profile.

Personalization techniques using image clouds

The present disclosure generally relates to processing and organizing electronic content. In accordance with one implementation, a computer-implemented method is provided that comprises receiving source data from at least one content server, the source data being associated with electronic content. The method also includes generating local data based on at least one of an analysis of the received source data or an extraction from the received source data. Additionally, the method includes classifying the electronic content as being associated with one or more content stacks. Further, the method includes generating representations of the electronic content based on the local data and generating instructions to display at least one content stack on a user interface, each displayed contact stack being operable to display one or more of the representations of the electronic content associated with the content stack based on the classification.

Systems and methods for processing and organizing electronic content

The present disclosure relates to systems and methods customizing electronic communications. A future event associated with a first user may be determined, and a second user that is associated with the first user may be identified. A plurality of communications involving the first user and the second user may be analyzed. A selection rule may be applied based on the analyzed plurality of communications, the selection rule identifying content from the database. Content from the database may be selected based on the application of the selection rule. An electronic message may be provided to the first user identifying the future event, and the selected content may be provided to the first user.

Systems and methods for customized electronic communications

A method for personalizing content for a particular user in a computing system comprising a user interface configured to display content. The method comprises identifying one or more features of a short term profile of a user that are not included in a long term profile of the user, using the one or more features to identify one or more third party profiles having features that substantially match the one or more features of the user's short term profile, accessing the identified one or more third party profiles, and providing one or more content items included in the third party profile to the user, the one or more content items having associated features that match the one or more features of the short term profile. An alternative method comprises accessing one or more third party profiles that are not a profile of the user, and using the accessed third party profile to identify a plurality of content items for recommendation to the user based on a feature set of the third party profile.

Content recommendation using third party profiles

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San Francisco, CA, United States of America

William G Wetherell