Abstract:
A computing system is described that obtains, based at least in part on information included in at least one previous communication associated with a user of a computing device, an indication of a future location and a future time and event information associated with the future location and the future time. The computing system obtains a duration of time for the user to travel from a current location of the computing device to the future location, and, based at least in part on the duration of time, obtains a departure time at which the user is predicted to need to depart from the current location in order to arrive at the future location by an arrival time based on the event. The computing system outputs, for transmission to the computing device, an indication associated with the event and including information indicative of the departure time.
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:
Methods and apparatus for providing travel-related information for a location to a user based on activity indications of the user that are related to the location. The location may be determined based on a set of one or more related activity indications and a travel-related score may be determined for the location that is indicative of likelihood that the user has interest in travelling to the location. The user may be provided the travel-related information for the location based on the travel-related score.
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:
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:
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:
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:
Embodiments relate to determining commute routes and clustering commute routes from a user's location history. Points in the user's location history may be clustered to find the user's home and work locations. Additionally, points along the user's commute may be identified to determine the user's typical commute. Similar commutes can be clustered together, and used to suggest various services to the user.
Abstract:
Methods and apparatus for providing travel-related information for a location to a user based on activity indications of the user that are related to the location. The location may be determined based on a set of one or more related activity indications and a travel-related score may be determined for the location that is indicative of likelihood that the user has interest in travelling to the location. The user may be provided the travel-related information for the location based on the travel-related score.