Abstract: In an embodiment, a data processing method comprises obtaining, from a calendar database associated with a particular mobile computing device, an event record specifying an event, and a date value and a time value indicating a date and time of the event; obtaining, from a user location history table accessible to a server computer, historical location data specifying a plurality of past geographical locations of the particular mobile computing device; using the server computer, determining, based upon the plurality of past geographical locations of the particular mobile computing device, a predicted location of the event; based upon the predicted location of the event, a current location of the particular mobile computing device, and mode data specifying a particular mode of transportation, calculating a route of travel between the current location and the predicted location and an estimated duration of travel; determining, based upon the date value, time value, route of travel and estimated duration of trave

Abstract: In an embodiment, a data processing method comprises obtaining a present location value indicating a present location of a computing device and event data indicating an event location and an event time; determining a route of travel between the present location and the event location for a mode of transportation from the present location to the event location; determining one or more route segments in the route of travel; determining one or more estimated journey times respectively for each of the route segments; adding one or more padding time values to each of the route segments; determining a total travel time based upon the journey times and the padding time values for all of the route segments; determining a recommended time to leave based upon a current time and a difference between the event time and the total travel time; wherein the method is performed by one or more computing devices.

Abstract: In an embodiment, a data processing method comprises obtaining, from a calendar database associated with a particular mobile computing device, an event record specifying an event, and a date value and a time value indicating a date and time of the event; obtaining, from a user location history table accessible to a server computer, historical location data specifying a plurality of past geographical locations of the particular mobile computing device; using the server computer, determining, based upon the plurality of past geographical locations of the particular mobile computing device, a predicted location of the event; based upon the predicted location of the event, a current location of the particular mobile computing device, and mode data specifying a particular mode of transportation, calculating a route of travel between the current location and the predicted location and an estimated duration of travel; determining, based upon the date value, time value, route of travel and estimated duration of trave

Abstract: In an embodiment, a data processing method comprises obtaining a present location value indicating a present location of a computing device and event data indicating an event location and an event time; determining a route of travel between the present location and the event location for a mode of transportation from the present location to the event location; determining one or more route segments in the route of travel; determining one or more estimated journey times respectively for each of the route segments; adding one or more padding time values to each of the route segments; determining a total travel time based upon the journey times and the padding time values for all of the route segments; determining a recommended time to leave based upon a current time and a difference between the event time and the total travel time; wherein the method is performed by one or more computing devices.

Abstract: A method and system to provide a unified format for digital content metadata are described. The system may include a module to obtain source data associated with media content; a module to identify, based on the source data, the media content; an extractor to obtain metadata associated the identified content; and a converter to format the obtained metadata according to the popular music format. The popular music format is a tree field format, where the fields are to store the title of the album, the title of the track, and the name of the artist.