Abstract:
Implementations generally relate to face template balancing. In some implementations, a method includes generating face templates corresponding to respective images. The method also includes matching the images to a user based on the face templates. The method also includes receiving a determination that one or more matched images are mismatched images. The method also includes flagging one or more face templates corresponding to the one or more mismatched images as negative face templates.
Abstract:
Systems and methods for attribute-based user data visualizations are described, including determining that an event is associated with a category, the event is one of a plurality of events that are associated with a user using one or more products; clustering the event with a group of events that are associated with the category; identifying at least a portion of the group of events and at least a portion of another group of events of another category, based on one or more time periods; and providing the at least the portion of the group of events and the at least the portion of the another group of events of the another category for visual presentation.
Abstract:
Implementations generally relate to face template balancing. In some implementations, a method includes generating face templates corresponding to respective images. The method also includes matching the images to a user based on the face templates. The method also includes receiving a determination that one or more matched images are mismatched images. The method also includes flagging one or more face templates corresponding to the one or more mismatched images as negative face templates.
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:
Implementations generally relate to face template balancing. In some implementations, a method includes generating face templates corresponding to respective images. The method also includes matching the images to a user based on the face templates. The method also includes receiving a determination that one or more matched images are mismatched images. The method also includes flagging one or more face templates corresponding to the one or more mismatched images as negative face templates.
Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing intent sensitive search results. In one aspect, a method includes receiving a current query for a current search session that is associated with a user identifier. One or more potential refinements for the current query are identified, each potential refinement being one or more terms and based on previous queries associated with the user identifier and previous queries associated with other user identifiers. One or more secondary queries are generated, each secondary query including the current query and one of the potential refinements, each secondary query matching a query-refinement pair in a trigger map that includes a plurality of query-refinement pairs. Secondary search results are identified for the secondary queries. Search results are provided including at least one of the secondary search results.