# US 9,439,033 B2 · Systems and methods for using spatial and temporal analysis to associate data sources with mobile devices > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 9,439,033 B2 - Document ID: US9439033B2 - Status: Granted - Kind: B2 - Application number: 14/731,281 - Filed: 2015-06-04 - Published: 2015-09-24 - Granted: 2016-09-06 - Earliest claimed: 2013-10-09 - Assignees: Mobile Technology Corporation - Applicants: Mobile Technology Corporation, LLC - Inventors: Dale Hartzell; Mark Welton; Michael Perri - Web page: https://patentgrep.com/patent/US9439033B2 ## CPC - G06Q 30/0261: {based on user location} - G06Q 10/42: Determination of affinities or common interests between users - G06Q 10/46: Determination of level of influence of users within social networking services - G06Q 10/48: using social graphs - G06Q 30/0205: {based on location or geographical consideration} - G06Q 30/0277: {Online advertisement} - H04L 67/535: {Tracking the activity of the user (network monitoring arrangements H04L43/00; recording of computer activity G06F11/34)} - H04W 4/02: Services making use of location information - H04W 4/023: {using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds} - H04W 4/029: Location-based management or tracking services - H04W 4/21: for social networking applications - H04W 12/02: Protecting privacy or anonymity, e.g. protecting personally identifiable information [PII] - H04W 12/50: Secure pairing of devices - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR - H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M) - H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72) ## Abstract Various embodiments of the present technology generally relate to data delivery. More specifically, some embodiments of the present technology relate to systems and methods for using spatial and temporal analysis to associate data sources with mobile devices. The delivery of data to support a wide variety of services for and about mobile devices that are based on data stored in corporate, commercial, and government databases which is not currently linked to individual mobile devices. Some embodiments allow advertisers to better target their ads to relevant target audience with greater accuracy. ## Claims ### Claim 1 A non-transitory computer-implemented method comprising: organizing, using a processor associated with a data delivery platform, a plurality of latitude-longitude pairs into clusters corresponding to geographic regions visited by a mobile device during a time period; calculating, using the processor associated with the data delivery platform, a score for each cluster, the score representing a probability that a user of the mobile device resides in a household within the cluster; identifying, using the processor associated with the data delivery platform, a location of the household of the user, the location corresponding to the cluster having a highest score; and associating, using the processor associated with the data delivery platform, the mobile device with the household of the user; wherein calculating the score comprises applying a weight based on at least one of a time and a location associated with a longitude-latitude pair. ### Claim 2 (depends on 1) The non-transitory computer-implemented method of claim 1, wherein the latitude-longitude pairs are obtained using a technique selected from the group consisting of global positioning with a global positioning system, cellular triangulation, and/or WiFi identification. ### Claim 3 (depends on 1) The non-transitory computer-implemented method of claim 1, wherein the latitude-longitude pairs do not originate from a mobile carrier. ### Claim 4 (depends on 1) The non-transitory computer-implemented method of claim 1, wherein the latitude-longitude pairs are associated with an ad request sent by the mobile device. ### Claim 5 (depends on 1) The non-transitory computer-implemented method of claim 1, wherein the weight is based on the time associated with the latitude-longitude pair, according to a probability that the mobile device was in the household at the time. ### Claim 6 (depends on 1) The non-transitory computer-implemented method of claim 1, wherein the weight is based on the location associated with the latitude-longitude pair, according to a probability that the location corresponds to a residential location. ### Claim 7 (depends on 1) The non-transitory computer-implemented method of claim 1, further comprising rejecting a latitude-longitude pair based on an indication that the latitude-longitude pair is erroneous. ### Claim 8 (depends on 1) The non-transitory computer-implemented method of claim 1, further comprising: receiving at a communications port, during a second time period, a plurality of second latitude-longitude pairs for the mobile device, the second latitude-longitude pairs corresponding to a location of the mobile device during the second time period; organizing the plurality of second latitude-longitude pairs into a plurality of second clusters, the second clusters corresponding to geographic regions visited by the mobile device during the second time period; calculating, using the processor associated with the data delivery platform, a second score for each second cluster, the second score representing a likelihood that the user of the mobile device resides in a household within the second cluster; and identifying, using the processor associated with the data delivery platform, a second location of the household of the user, the second location corresponding to the second cluster having the highest second score. ### Claim 9 (depends on 8) The non-transitory computer-implemented method of claim 8, further comprising performing a state update comprising: determining whether the location of the household of the user and the second location of the household of the user are consistent; if the location and the second location are consistent, determining a revised location of the household of the user as a function of the location and the second location; if (i) the location and the second location are not consistent, and (ii) the highest second score is less than or equal to the highest score, associating the mobile device with the location; and if (i) the location and the second location are not consistent, and (ii) the highest second score is greater than the highest score, associating the mobile device with the second location of the household of the user. ### Claim 10 (depends on 1) The non-transitory computer-implemented method of claim 1, further comprising assigning statistical metrics to measure fitness of the device ID and household ID association. ### Claim 11 A system comprising: a data storage device operating on a server computer, the data storage device storing a plurality of latitude-longitude pairs for a mobile device, the latitude-longitude pairs corresponding to a location of a mobile device during a time period; a memory having stored thereon non-transitory computer readable instructions; and a processor to execute the non-transitory computer-readable instructions, wherein when executed cause the system to: organize the plurality of latitude-longitude pairs into one or more clusters corresponding to geographic regions or locations visited by the mobile device during the time period; calculate, for each of the one or more clusters, a score representing a probability that a user of the mobile device resides in a household within the cluster; identify a household of the user based on a residential location of a cluster with a highest score; associate the mobile device with the household of the user; anonymize mobile device identifiers to provide security and anonymity of users; and associate data on the household of the user with the mobile device identifiers in the data storage device; wherein calculating the score comprises applying a weight based on at least one of a time and a location associated with a longitude-latitude pair. ### Claim 12 (depends on 11) The system of claim 11, wherein the non-transitory computer-readable instructions when executed by the processor cause the system to filter the plurality of latitude-longitude pairs. ### Claim 13 (depends on 11) The system of claim 11, wherein the non-transitory computer-readable instructions when executed by the processor cause the system to associate and append each cluster with additional data elements to provide more detailed information about the locations in the cluster for use in additional analytics. ### Claim 14 (depends on 11) The system of claim 11, wherein the non-transitory computer-readable instructions when executed by the processor cause the system to: compare data on each individual within the household against the appended data to identify an individual within the household associated with the device; associate the mobile device with an individual; and link data on an individual with the mobile device. ### Claim 15 (depends on 11) The system of claim 11, wherein the non-transitory computer-readable instructions when executed by the processor cause the system to: receive, during a second time period, a plurality of second latitude-longitude pairs for the mobile device, the second latitude-longitude pairs corresponding to a location of the mobile device during the second time period; filter and organize the plurality of second latitude-longitude pairs into a plurality of second clusters, the second clusters corresponding to geographic regions or locations visited by the mobile device during the second time period; calculate a second score for each second cluster, the second score representing a likelihood that the user of the mobile device resides in a household within the second cluster; and identifies a second location of the household of the user, the second location corresponding to the second cluster having the highest second score. ### Claim 16 (depends on 11) The system of claim 11, wherein the latitude-longitude pairs are obtained using a technique selected from the group consisting of global positioning with a global positioning system, cellular triangulation, Bluetooth, and/or W-Fi identification. ### Claim 17 (depends on 11) The system of claim 11, wherein the latitude-longitude pairs are associated with any activity of a mobile device, such as an ad request sent by the mobile device, in-app location collection, device network registration or communication, or data exchange. ### Claim 18 (depends on 11) The system of claim 11, wherein the weight is based on the time associated with the latitude-longitude pair, according to a probability that the mobile device was in the household at the time. ### Claim 19 (depends on 11) The system of claim 11, wherein the weight is based on the location associated with the latitude-longitude pair, according to a probability that the location corresponds to a residential location. ### Claim 20 (depends on 11) The system of claim 11, wherein the weight is based on the location of the latitude-longitude pair, according to a likelihood that the location corresponds to a specific residential address based on analysis. ### Claim 21 (depends on 11) The system of claim 11, further comprising filtering and rejecting a latitude-longitude pair based on analysis of the latitude-longitude pair. ### Claim 22 (depends on 11) The system of claim 11, wherein the data associated with a cluster, household, or individual includes data from commercial sources, enterprise databases, retailer databases, government databases. ### Claim 23 (depends on 22) The system of claim 22, wherein the data includes point of interest information, business information, or retail information. ### Claim 24 (depends on 11) The system of claim 11, further comprising performing a state update comprising: determining whether the location of the household of the user and the second location of the household of the user are consistent; if the location and the second location are consistent, determining a revised location of the household of the user as a function of the location and the second location; if (i) the location and the second location are not consistent, and (ii) the highest second score is less than or equal to the highest score, associating the mobile device with the location; and if (i) the location and the second location are not consistent, and (ii) the highest second score is greater than the highest score, associating the mobile device with the second location of the household of the user. ### Claim 25 (depends on 11) The system of claim 11, further comprising assigning statistical metrics to measure fitness of the device ID and the household association.