Abstract: The present disclosure relates to systems, devices, and methods for identifying structured data for any webpage when a user requests the webpage, or the webpage loads in a browser. The systems, devices, and methods extract a portion of the webpage content and use the webpage content to determine the domain of the webpage, extract entities from the webpage content, query one or more datastores with content for structured data based on the domain and the extracted entities and present the structured data with the webpage.

Abstract: Entities such as hotels, restaurants, resorts, houses, vehicles, and other places and things, are associated with images of each entity. The images are tagged using machine learning to identify what aspects of the associated entity are captured by each image. When a user is requested to select an entity from a set of entities, a user preference model is used to determine what tags the user is interested in. The tags are used to select images associated with the entities from the set of entities, and the selected images are displayed to the user. The user can then provide indicators that show which of the displayed images the user likes or dislikes. Based on the indicators, one or more entities from the set of entities is presented to the user. The model may also be updated based on the indicators.

Abstract: Entities such as hotels, restaurants, resorts, houses, vehicles, and other places and things, are associated with images of each entity. The images are tagged using machine learning to identify what aspects of the associated entity are captured by each image. When a user is requested to select an entity from a set of entities, a user preference model is used to determine what tags the user is interested in. The tags are used to select images associated with the entities from the set of entities, and the selected images are displayed to the user. The user can then provide indicators that show which of the displayed images the user likes or dislikes. Based on the indicators, one or more entities from the set of entities is presented to the user. The model may also be updated based on the indicators.

Abstract: A server system is provided that includes one or more processors configured to receive an intra-route navigation error package including a plurality of route context data from a user computer device. The intra-route navigation error package indicates that a navigation error occurred at a geospatial location. The one or more processors are further configured to send, to the user computing device, a detailed feedback package configured to cause the user computer device to display a feedback interface at a later point in time when a user of the user computer device is not traveling. The detailed feedback package includes a route context determined based on the plurality of route context data and configured to be presented to the user via the feedback interface. The one or more processors are further configured to determine a map correction for a map database based on user input of detailed feedback.

Abstract: A server system is provided that includes one or more processors configured to receive an intra-route navigation error package including a plurality of route context data from a user computer device. The intra-route navigation error package indicates that a navigation error occurred at a geospatial location. The one or more processors are further configured to send, to the user computing device, a detailed feedback package configured to cause the user computer device to display a feedback interface at a later point in time when a user of the user computer device is not traveling. The detailed feedback package includes a route context determined based on the plurality of route context data and configured to be presented to the user via the feedback interface. The one or more processors are further configured to determine a map correction for a map database based on user input of detailed feedback.

Abstract: Techniques are shown for changing input assignments of an input device controls for a first application while leaving assignments unchanged for other applications. When a first application is active, a first input action is registered from activation of an input control selected for mode control. In response, when an input mode of the first application corresponds to standard device mapping inputs, the input mode is changed to an input mode corresponding to an alternate device mapping inputs assigned to a subset of input controls. When the first application is in alternate device mapping mode, input control activations are registered according to the alternate device mapping actions. When a second application is active, input control activations are registered according to the standard input mapping actions.

Abstract: Entities such as hotels, restaurants, resorts, houses, vehicles, and other places and things, are associated with images of each entity. The images are tagged using machine learning to identify what aspects of the associated entity are captured by each image. When a user is requested to select an entity from a set of entities, a user preference model is used to determine what tags the user is interested in. The tags are used to select images associated with the entities from the set of entities, and the selected images are displayed to the user. The user can then provide indicators that show which of the displayed images the user likes or dislikes. Based on the indicators, one or more entities from the set of entities is presented to the user. The model may also be updated based on the indicators.

Abstract: Techniques are shown for changing input assignments of an input device controls for a first application while leaving assignments unchanged for other applications. When a first application is active, a first input action is registered from activation of an input control selected for mode control. In response, when an input mode of the first application corresponds to standard device mapping inputs, the input mode is changed to an input mode corresponding to an alternate device mapping inputs assigned to a subset of input controls. When the first application is in alternate device mapping mode, input control activations are registered according to the alternate device mapping actions. When a second application is active, input control activations are registered according to the standard input mapping actions.

Abstract: Described herein is a suggestion system that includes an input component configured to receive a search result. The memory further includes a suggestion algorithm component configured to determine a geographic item related to the search result and identify one or more suggested items based on the determined geographic item, received search result and metadata associated with stored items. The memory also includes an output component configured to provide information regarding the identified one or more suggested items.

Abstract: Dynamically magnifying search results and enabling motion-based review of the search results. The user enters a query to search the content of a document. As the characters of the query are entered by the user, the search results are identified and magnified such that all the search results after any given input character are visible in the user interface. The user advances through the search results by moving the computing device in a predefined manner. In an embodiment, the user searches the content of a web page rendered in a browser executing on a mobile computing device such as a telephone.

Abstract: Maintaining a plurality of search contexts and selecting one of the search contexts based on graphical properties of a user interface. Each of the search contexts is provided by and corresponds to one of a plurality of executing application programs. Responsive to an event, one of the search contexts is selected. In some embodiments, the search context provided by the application program having a window displayed in the foreground of the user interface is selected. Search results based on the selected search context are obtained and provided to the user.

Abstract: Maintaining a plurality of search contexts and selecting one of the search contexts based on graphical properties of a user interface. Each of the search contexts is provided by and corresponds to one of a plurality of executing application programs. Responsive to an event, one of the search contexts is selected. In some embodiments, the search context provided by the application program having a window displayed in the foreground of the user interface is selected. Search results based on the selected search context are obtained and provided to the user.

Abstract: Dynamically magnifying search results and enabling motion-based review of the search results. The user enters a query to search the content of a document. As the characters of the query are entered by the user, the search results are identified and magnified such that all the search results after any given input character are visible in the user interface. The user advances through the search results by moving the computing device in a predefined manner. In an embodiment, the user searches the content of a web page rendered in a browser executing on a mobile computing device such as a telephone.