Yahoo Assets LLC

Verizon Media Inc.

Oath Inc.

Verizon Patent and Licensing Inc.

Yahoo Ad Tech LLC

Yahoo Holdings, Inc.

Mohit Goenka

Nikita Varma

Ashish Khushal Dharamshi

Gnanavel Shanmugam

Deepesh Mittal

Kelly Xu

Muni Xu

Shiv Shankar

Thanawat Kaewka

Hafeez Shaik

Luis Alves

Stephani Bishop

Ashish Khusal Dharamshi

Saranyaa Parthikumar

Techniques for electronic document content bookmarking are disclosed. In one embodiment, a method is disclosed comprising receiving user input indicating selection of a portion of the electronic document, receiving a request to bookmark the selected portion of the electronic document, generating a bookmark card for the selected portion of the electronic document, the bookmark card comprising information identifying the electronic document, the selected portion of the electronic document as bookmarked content and the at least one user-defined information item, receiving, via the computing device, a bookmark view request via the GUI, and causing display of the bookmark view via the GUI in response to the bookmark view request, the bookmark view comprising an entry corresponding to the generated bookmark card and providing the bookmarked content from the generated bookmark card, the bookmark view providing a number of actions selectable by the user in connection with the entry from the bookmark view.

Method and apparatus for bookmarking a portion of an electronic document

One or more computing devices, systems, and/or methods for determining activity patterns based upon user activity and/or performing operations based upon the activity patterns are provided. For example, activity performed using a communication interface associated with a user account may be detected. The activity may be analyzed to determine an activity pattern associated with a first set of conditions. The activity pattern may be stored in a user profile associated with the user account. The user profile may comprise a plurality of activity patterns. Each activity pattern of the plurality of activity patterns may be associated with a set of conditions of a plurality of sets of conditions. It may be determined that the first set of conditions are met. Responsive to determining that the first set of conditions are met, one or more operations associated with the activity pattern may be performed.

Performing operations based upon activity patterns

One or more computing devices, systems, and/or methods for generating a user-specific transaction interface are provided. In an example, a datastore of a user may be searched for an indication of a potential transaction. The datastore may include an email mailbox and/or a record of web browsing. In response to identifying the potential transaction, the datastore of the user, a partnership datastore and/or a network may be searched for an opportunity associated with the potential transaction. In response to identifying the opportunity associated with the potential transaction, a user-specific transaction interface may be generated. The user-specific transaction interface may include one or more selectable inputs for engaging in a version of the potential transaction. The user-specific transaction interface may be provided for display on a device of the user.

System and method for generating and providing user-specific transaction interface

The application relates to a method for supplementing messages with contextual content. A processor can receive a message from a sender to a user that includes a content item. The processor can then predict a next action of the user based on the message by inputting the content item into a predictive model trained using historical actions performed by the user. Based on the output of the model, the processor can generate an augmented content item and embed the augmented content item and the content item into a user interface which is then transmitted to a client device of the user.

Method and system for supplementing messages with contextual content

Disclosed are systems and methods for improving interactions with and between computers in hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to instantiate local and persistent core device instances within or across platforms, which can be used to improve the quality of data processing used in processing interactions between or among processors in such systems. The disclosed systems and methods provide systems and methods for cloud hosted device instances. The systems and methods provide a platform for creating cloud hosted device instances, each of which provides compute and memory resources for a device user. The systems and methods provide a core cloud service to centrally manage device data and deploy (and redeploy) local (or 'lightweight') device instances close to a device.

Cloud hosted device instances method and apparatus

Devices often receive content items to be saved for later presentation to a user. In some instances, the content of the message is analyzed to retrieve supplemental information from external data sources, such as a map to a location discussed in a message. However, such supplementing often fails to reflect the personal context of the content item to the user, who may not easily recall the associated personal context when the content item is later presented. Instead, for a content item to be saved, a device may evaluate personal data sources to identify the personal context of the content item to the user, and add personal context annotations to a content item record of the saved content item. Later, during a presentation of the content item to the user, the personal context annotations may be included as a reflection of the personal context of the content item to the user.

Preserving contextual relevance of content

One or more computing devices, systems, and/or methods for evaluating email activity and/or controlling, based upon the email activity, transmission of instructions associated with quality are provided. A first email, transmitted by an email account associated with an entity to a plurality of email accounts, may be identified. First activity associated with the first email may be detected. A first set of activity information associated with the first activity may be stored in an entity profile associated with the entity. The entity profile may comprise a plurality of sets of activity information associated with a plurality of emails transmitted by one or more email accounts associated with the entity. A quality score corresponding to the first entity may be generated based upon the entity profile. A notification may be generated based upon the quality score. The notification may be transmitted to the first client device.

Evaluating email activity

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 novel framework for analyzing messages shared over a network and identifying information in them referencing entities based on a determined context of the messages. Once the entity information is identified, the disclosed framework segregates them based on the context, and then presents them in contextual views as content cards within or as part of generated, content-specific interfaces. The disclosed framework enables users to continue messaging while pivoting between different views of the generated interfaces, which enables the retrieval of additional information related to the entity information included on the content cards.

Computerized system and method for extracting entity information from text communications and displaying content based therefrom

A method for presenting personalized content to a user includes receiving user data corresponding to a user having a user profile, the user data including at least one or more messages in a user mailbox and a user web browser history within a network, extracting one or more data tags from the received user data, associated at least one data tag with a message, finding information in the network that corresponds to the associated data tag, generating a notification for the user, the notification including the found information in the network, and outputting the generated notification to a user interface of a device of the user.

Method and system for serving personalized content to enhance user experience

The disclosed embodiments relate to processing of notifications displayed on computing devices. In one embodiment, a method is disclosed comprising receiving a notification and querying at least one activity database that records historical interactions of a user. The method then receives a priority indicator in response to the querying and determines whether the priority indicator indicates a high priority. If so, the method generates, and in some embodiments displays, a second notification.

Method and system for the analysis of user content and interactions to define a call to action

One or more computing devices, systems, and/or methods for performing entity actions based upon inputs received via email interfaces are provided. For example, an email received by an email account may be identified. The email may be associated with an entity action corresponding to a first entity. A selectable input corresponding to performing the entity action may be displayed via an email interface associated with the email account. A request to perform the entity action may be received via a selection of the selectable input. Responsive to receiving the request, an action interface corresponding to performing the entity action may be displayed within the email interface. One or more inputs associated with the entity action may be received via the action interface. Responsive to determining that the entity action is completed, a confirmation message, indicative of the entity action being completed, may be displayed using the email interface.

Performing entity actions using email interfaces

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 novel framework for compiling, updating and dynamically managing a confidence graph for a user that leads to generation of a scored interest profile for the user that content providers can utilize as a basis for disseminating their proprietary digital content. The disclosed confidence graph provides a scored interest profile for each user that is based on authenticated user data derived from an inbox of the user. The confidence graph is not only derived from authenticated data, but is also dynamic and evolves simultaneously with changing user interests. Thus, digital content is selected and transmitted to users based on the current, real-time digital data reflecting their current interests as reflected by their inbox activity.

Computerized system and method for interest profile generation and digital content dissemination based therefrom

One or more computing devices, systems, and/or methods for generating a user-specific interface are provided. In an example, a user-specific machine learning model, for a user of an email application, may be trained based upon one or more interactions of the user with a device upon which the email application is installed. A determination may be made that an email message has been received by an email account of the user. A user-specific message interface may be generated based upon (i) the trained user-specific machine learning model and (ii) content of the email message. A notification of the email message may be provided for display on the device of the user. In response to the user selecting the notification of the email message, the user-specific interface may be provided for display on the device of the user.

Growing community of inventors

Santa Clara, CA, United States of America

Mohit Goenka