Abstract:
In some examples, systems and techniques can determine a respective visit likelihood for each respective destination of a plurality of destinations based at least in part on a respective distance between the respective destination and a geographic location from a location history associated with a user and a comparison between a time associated with the geographic location and a visit likelihood distribution across time. The systems and techniques can then sort at least some of the plurality of destinations. In other examples, systems and techniques can determine whether a user is likely to visit a place during a future instance of a timeslot based at least in part on a location history associated with the user. The systems and techniques can then output information relating to the place prior to the beginning of the future instance of the timeslot.
Abstract:
The systems and techniques disclosed herein provide the ability to determine locations visited by a user and associate relevant location labels with the locations visited based on contact information. In some examples, a location label can be applied based on a match between a location visited and information stored in a user's contact list. In other examples, a user can efficiently designate a contact and location label to be associated with a location visited. In still other examples, if a location visited by a user is not listed in the user's contact list, but is otherwise known to the system, the location visited can be appropriately labeled and the corresponding contact in the user's contact list can be updated to include the location visited.
Abstract:
A method and system for searching for data covered by nodes in a quadtree are disclosed. Nodes at a selected level of the quadtree are encoded with an index. The index nodes store data related to the level of descendants and ancestors of each index node. To search for data covered by a particular desired node, the index node ancestor or descendant of the desired node is determined. Based on the data in the index node, the desired node can be located without a full traversal of the quadtree. The quadtree nodes store elevation data for points on the Earth.
Abstract:
A computing system is described that can provide a user with alerts based on traffic information related to the user's expected travel route. In some embodiments, a user can be alerted if a traffic delay exists on the user's expected travel route. In other embodiments, a user can be alerted when their usual bus or train is delayed. In further embodiments, a user can be alerted when traffic on an expected route to the user's next event location might impact the user's ability to arrive at that location on time.
Abstract:
A method and system for searching for data covered by nodes in a quadtree are disclosed. Nodes at a selected level of the quadtree are encoded with an index. The index nodes store data related to the level of descendants and ancestors of each index node. To search for data covered by a particular desired node, the index node ancestor or descendant of the desired node is determined. Based on the data in the index node, the desired node can be located without a full traversal of the quadtree. The quadtree nodes store elevation data for points on the Earth.
Abstract:
Techniques are disclosed herein that generally involve storing a historical record of a user's maps searches (a maps history), and providing a user with relevant information about elements in their maps history based on the location of a mobile device associated with the user. Such elements can include generic queries, specific queries, direction queries, click entries, places, and so forth. In some examples, the mobile device's location is provided to a server, which in turn processes the user's maps history to determine which elements from the maps history may be relevant to the mobile device's current location. Elements that are determined to be of possible relevance, and/or information relating thereto, can then be presented to the user, in many instances decreasing the time and effort required for the user to locate map-based information for which they are searching.
Abstract:
Techniques are disclosed herein for inferring user interests and serving recommendations to the user. An example for serving recommendations based on inferred user interests is described. The example includes receiving a plurality of location data points for a user, the location data points including a geographic position and a time, and storing the location data points in a data store. The location data points are processed using a processor in communication with the data store to generate visited place data for the user where the visited place data represents a location visited by the user, a category of the location visited, and a time. A histogram of the visited place data is built across categories of locations visited and the histogram is stored in the data store. Recommendations are then served to the user within a category represented on the histogram.
Abstract:
The systems and techniques disclosed herein provide the ability to determine locations visited by a user and associate relevant location labels with the locations visited based on contact information. In some examples, a location label can be applied based on a match between a location visited and information stored in a user's contact list. In other examples, a user can efficiently designate a contact and location label to be associated with a location visited. In still other examples, if a location visited by a user is not listed in the user's contact list, but is otherwise known to the system, the location visited can be appropriately labeled and the corresponding contact in the user's contact list can be updated to include the location visited.
Abstract:
In some examples, systems and techniques can determine a respective visit likelihood for each respective destination of a plurality of destinations based at least in part on a respective distance between the respective destination and a geographic location from a location history associated with a user and a comparison between a time associated with the geographic location and a visit likelihood distribution across time. The systems and techniques can then sort at least some of the plurality of destinations. In other examples, systems and techniques can determine whether a user is likely to visit a place during a future instance of a timeslot based at least in part on a location history associated with the user. The systems and techniques can then output information relating to the place prior to the beginning of the future instance of the timeslot.
Abstract:
The systems and techniques disclosed herein provide the ability to determine locations visited by a user and associate relevant location labels with the locations visited based on contact information. In some examples, a location label can be applied based on a match between a location visited and information stored in a user's contact list. In other examples, a user can efficiently designate a contact and location label to be associated with a location visited. In still other examples, if a location visited by a user is not listed in the user's contact list, but is otherwise known to the system, the location visited can be appropriately labeled and the corresponding contact in the user's contact list can be updated to include the location visited.