Ninthdecimal, Inc.

Ahmad Fairiz Azizi

Veronica Milenkiy

Paolo D'Alberto

Mark Christopher Dixon

John Raymond Klein

Kevin Toshio Ching

Yury Zhyshko

Robert Abusaidi

Grigory Sokol

Kevin McKenzie

Luke Gain

Leonid Blyukher

Jeff Pittelkau

David Staas

Systems and methods including mobile devices determining their locations using location determination units, such as GPS receivers. A computing device generates a statistical measurement of location pattern changes in relation to a predetermined region for a predetermined period of time. The measurement is generated from a difference between responses of exposed mobile devices and responses of non-exposed mobile devices, which devices are selected based on a cluster analysis to match the distributions of the exposed mobile devices and the non-exposed mobile devices in an attribute space. Each response of a mobile device can be computed based on applying, at a time instance, an anti-symmetric weight function having an exponential distribution to a time series of visitation measurements to generate a response corresponding to the time instance, and summing the responses corresponding to time instances falling within the predetermined period of time as the response of the mobile device.

Systems and methods of tracking locations visited by mobile devices to quantify a change computed based on matching populations used in change measurement

Location graph-based derivation of user attributes. Location data associated with a user, such as a current and/or past location at which the user has been, is received. A user attribute data associated with the location data is determined and used to update a user profile associated with the user.

Location graph based derivation of attributes

Systems and methods including mobile devices determining their locations using a location determination system, such as a global positioning system. A set of locations, including locations of one or more mobile devices, are identified by their coordinates on the surface of the Earth. The set of locations are efficiently organized into a graph of locations connecting to neighboring locations with edges representing distances to their neighboring locations. For each respective location, a computing device combines coordinates of the respective location into an identifier of a cell that contains the respective location without floating point computations, and stores cell-location data associating respective cells with respective locations. For each respective location, the computing device identifies neighboring cells of the cell that contains the respective location, looks up locations associated with the identifiers of the cell and its neighboring cells, as neighboring locations or candidates for neighboring locations.

Systems and methods to track locations visited by mobile devices and determine neighbors of and distances among locations

Systems and methods including mobile devices determining their locations using location determination units, such as GPS receivers. A computing device generates a statistical measurement of location pattern changes in relation to a predetermined region for a predetermined period of time. The measurement is generated from a difference between the average response of exposed mobile devices and the average response of non-exposed mobile devices, where each of the exposed/non-exposed mobile devices is selected for having a home location or a visitation pattern within an activity area associated with the predetermined region, and each response of a mobile device is based on determining whether locations of the mobile device is within the predetermined region and counts of visitations to the predetermined region by the mobile device in different time intervals.

Systems and methods of tracking locations visited by mobile devices residing within a predetermined activity area to quantify a change

Systems and methods including mobile devices determining their locations using location determination units, such as GPS receivers. A computing device generates a statistical measurement of location pattern changes in relation to a predetermined region for a predetermined period of time. The measurement is generated from a difference between the average response of exposed mobile devices and the average response of non-exposed mobile devices, where each response of a mobile device is computed by: determining a sequence of time instances of the mobile devices being at locations within the region, generating a time series of visitation measurements from the time sequence, applying at a time instance an anti-symmetric weight function having an exponential distribution to the time series to generate the response corresponding to the time instance, and summing the responses corresponding to time instances falling within the predetermined period of time as the response of the mobile device.

Systems and methods of tracking locations visited by mobile devices to quantify a change from a time series of responses

Systems and methods including mobile devices determining their locations using location determination units, such as GPS receivers. Locations of the mobile devices and predefined locations/regions that have been visited by the mobile devices during a period of time are efficiently organized into a location graph that identifies the neighbors of predefined locations, distances to neighbors, and visitation counts of mobile devices to the predefined locations during the period of time. Keyword values for keywords representing user attributes are assigned to mobile devices and the predefined locations. Based on the location graph, the keyword values are propagated via the location graph, from neighbors to predefined locations, from mobile devices to predefined locations, and from predefined locations to mobile devices, to incrementally improve the accuracy of the keyword values over a number of time periods.

Systems and methods to track locations visited by mobile devices and update keyword values based on neighbor relations and distances among locations

Location graph-based derivation of user attributes is disclosed. In various embodiments, location data associated with a user, such as a current and/or past location at which the user has been, is received. A user attribute data associated with the location data is determined and used to update a user profile associated with the user.

Growing community of inventors

Santa Clara, CA, United States of America

Ahmad Fairiz Azizi