Yahoo Ad Tech LLC

Verizon Media Inc.

Verizon Patent and Licensing Inc.

Joel Oren

Ariel Raviv

Irena Grabovitch-Zuyev

Ran Wolff

Noa Avigdor-Elgrabli

Michael Viderman

Ian Michael McCarthy

One or more computing devices, systems, and/or methods for generating and providing recommendations of products are provided. For example, content is extracted from a message sent to a user. The content is evaluated to identify a product identifier corresponding to a product title of a product. If the product identifier is a truncated version of the product title, then a database of product titles and frequencies of occurrence of the product titles is used to complete the product title. A model is used to infer a product category for the product title. Matching scores are assigned to products within a product category based upon weighted attributes. A recommendation is provided to the user for a product having a matching score greater than a matching threshold.

Systems and methods for recommendation generation

One or more computing devices, systems, and/or methods for mailbox-based coupon display are provided. For example, a plurality of email messages stored in a mailbox of a first email account of a first user may be identified, and may be evaluated to identify a plurality of coupons. The plurality of coupons may be analyzed to determine one or more coupon features. User data and/or activity data associated with the first user may be analyzed to determine one or more user features. A predictive model may be tuned based upon the one or more coupon features and/or the one or more user features. A set of scores may be generated for the plurality of coupons based upon the predictive model. A graphical user interface may be controlled based upon the set of scores to display one or more coupons.

Method and system for mailbox-based coupon display

One or more computing devices, systems, and/or methods are provided. One or more videos associated with a user may be analyzed to determine a first set of features of the user associated with a first emotion of the user and/or a second set of features of the user associated with a second emotion of the user. A first user emotion profile associated with the user may be generated based upon the first set of features and/or the second set of features. A second video may be presented via a graphical user interface of a first client device. The user may be identified within the second video. It may be determined, based upon the second video and/or the first user emotion profile, that the user is associated with the first emotion. A representation of the first emotion may be displayed via the graphical user interface of the first client device.

Determining and presenting user emotion

Disclosed are systems and methods for improving interactions with and between computers in content providing, searching and/or hosting systems supported by or configured with devices, servers and/or platforms. The disclosed systems and methods provide a universally applied framework for analyzing all forms and types of messages being communicated over network, and providing functionality to an inbox for alerting a user to specific forms or types of content included within received and displayed messages. Such functionality can include determining and displaying specific message content in a modified manner when its associated message is displayed from a message inbox. The messages can be modified upon display within in the inbox to indicate and identify that the message includes content of a specific type or form.

Computerized system and method for display of modified machine-generated messages

One or more computing devices, systems, and/or methods for efficiently storing and retrieving electronic communication are provided. Messages with the same structure are grouped into a same cluster. A template is created for the cluster. The template is populated with constant values that are the same amongst the messages. Variable values that are different amongst the messages are stored within user account repositories for each message. In this way, the constant values are merely stored once for the messages within the cluster. A template within a general repository and variable values within a user account repository may be used to reconstruct a message.

Growing community of inventors

Tel Aviv, Israel

Joel Oren