Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining the relevancy of entities. One of the methods includes obtaining a first entity identifier, wherein the first entity identifier identifies a first entity associated with a query; identifying one or more second entities associated with the first entity; and for each of the one or more second entities, determining a relevancy score for the second entity from a measure of the popularity of the second entity and a measure of the freshness of the second entity, wherein the relevancy score represents a relevance of the second entity to the query; determining that the relevancy score satisfies a threshold; and providing the second entity in response to the query.
Abstract:
In one example, a method includes receiving, by a computing system, context information associated with a computing device; inferring, by the computing system and based on the context information, an action of a user of the computing device, the action associated with at least one entity; determining, by the computing system and based on stored attribute information associated with the at least one entity, and based on a stored set of rules associated with the inferred action, that the inferred action is not advisable; and responsive to determining that the inferred action is not advisable, outputting, by the computing system and for display on the computing device, notification data indicating that the inferred action is not advisable.
Abstract:
Systems and methods for changing visited hyperlink appearance based on user activity are described. One method includes visually indicating a user's browsing history on a results page, detecting an accidental selection of a result, the detecting being effected based on a length of time spent browsing a selected web page, changing the results page to provide a visual indication distinguishing the result accidentally selected from other selected results, and displaying the revised results page.
Abstract:
A computing device is described that receives, at a first particular time, first notification data. Responsive to receiving the first notification data, the computing device outputs, at a first intensity level, a first alert associated with the first notification data. The computing device receives, at a second particular time after the first particular time, second notification data. Responsive to the computing device receiving an indication of user interaction with the computing device between the first particular time and the second particular time, the computing device outputs, at the first intensity level, a second alert associated with the second notification data. Conversely, responsive to the computing device not receiving the indication of user interaction with the computing device, the computing device either outputs, at a second intensity level that is less than the first intensity level, the second alert, or refrains from outputting the second alert entirely.
Abstract:
Systems and methods for prioritizing audio announcements are provided. In one embodiment, a method can include obtaining, by one or more processors associated with a computing device, an audio notification that comprises a message and a preferred priority associated with the message. The method can include determining, by the one or more processors, an assigned priority associated with the message based at least in part on a content of the message and the preferred priority associated with the message. The method can include generating, by the one or more processors, an output indicative of the message and the assigned priority associated with the message. The method can include providing, by the one or more processors, the output to an audio device to audibly produce the output based at least in part on the priority associated with the message.
Abstract:
A method includes gathering a plurality of instances of online activity associated with a user, analyzing the plurality of instances of online activity to determine a characteristic that is likely to correspond to a profile attribute of the user and generating a profile enrichment suggestion for the user based on the determined characteristic.
Abstract:
Systems and methods for prioritizing audio announcements are provided. In one embodiment, a method can include obtaining, by one or more processors associated with a computing device, an audio notification that comprises a message and a preferred priority associated with the message. The method can include determining, by the one or more processors, an assigned priority associated with the message based at least in part on a content of the message and the preferred priority associated with the message. The method can include generating, by the one or more processors, an output indicative of the message and the assigned priority associated with the message. The method can include providing, by the one or more processors, the output to an audio device to audibly produce the output based at least in part on the priority associated with the message.
Abstract:
A computing device is described that receives, at a first particular time, first notification data. Responsive to receiving the first notification data, the computing device outputs, at a first intensity level, a first alert associated with the first notification data. The computing device receives, at a second particular time after the first particular time, second notification data. Responsive to the computing device receiving an indication of user interaction with the computing device between the first particular time and the second particular time, the computing device outputs, at the first intensity level, a second alert associated with the second notification data. Conversely, responsive to the computing device not receiving the indication of user interaction with the computing device, the computing device either outputs, at a second intensity level that is less than the first intensity level, the second alert, or refrains from outputting the second alert entirely.
Abstract:
A method includes gathering a plurality of instances of online activity associated with a user, analyzing the plurality of instances of online activity to determine a characteristic that is likely to correspond to a profile attribute of the user and generating a profile enrichment suggestion for the user based on the determined characteristic.