Distributed personal information aggregator

• US 10,242,104 B2
• Filed: 03/31/2009
• Issued: 03/26/2019
• Est. Priority Date: 03/31/2008
• Status: Active Grant

• Current Assignee: Peekanalytics, Inc.
• Original Assignee: Peekanalytics, Inc.
• Inventors: Hussey, Jr., Michael P., Baranov, Pavel A., McArdle, Terrence E., Boesenberg, Timothy M., Duggal, Baldev
• Primary Examiner(s): Thomas, Ashish
• Assistant Examiner(s): Mahmood, Rezwanul
• Application Number:
  US12/384,098
• Publication Number:
  US 20100010993A1
• Time in Patent Office: 3,647 Days
• Field of Search: 707722, 707769
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation

Abstract

A method of aggregating personal information available from public sources over a network. The method includes the steps of receiving at a computer server, data associated with a person, the data being publicly available over a network, and including at least a first name and a last name; using a processor to compare the received data to a plurality of data profiles stored in a database of one or more memory devices, each profile corresponding to a previously-profiled person and containing data associated with the previously-profiled person; determining whether the received data sufficiently matches data associated with the previously-profiled person of the data profile; and merging the received data with the data associated with the previously-profiled person.

Claims

1. A method of indexing information available from public sources over a network and corresponding to a person via a personal information aggregation system that includes a first server, a processor, and a database of profiles stored in a memory device, comprising:

receiving at the first server, data associated with a person, the data associated with the person being publicly available over a network and including name data comprising at least a first name and a last name and including other data;

using the processor to determine whether the other data includes a unique item of information associated with the person, and when the other data includes a unique item of information associated with the person, performing the steps of;

querying the database of profiles, the database of profiles including a plurality of data profiles, each of the data profiles having data corresponding to a previously-profiled person, to determine whether the name data and unique item of information of the data associated with the person match name data and a unique item of information of one of the plurality of data profiles of the database of profiles;

merging the data associated with the person with the one of the plurality of data profiles when both the name data and unique item of information of the data associated with the person match the name data and the unique item of information of the one of the plurality of data profiles;

determining whether the other data includes a location when the unique item of information associated with the person does not match the unique item of information of the one of the plurality of data profiles, and when the other data does not include a location, create a partial-profile data record including the name data and the other data, and when the other data does include a location and the name data matches the name data of the one of the plurality of data profiles, perform the steps of;

querying the database of profiles to identify data profiles having name data that matches the name data of the person, and having a location that is in a geographic vicinity of the location of the other data; and

merging the data associated with the person with an identified data profile having name data that matches the name data of the person, and having a location that is in the geographic vicinity of the location of the other data, thereby indexing publicly-available information of the person; and

calculating a frequency for instances of the name data having a location within a distance threshold of the geographic vicinity and wherein merging the data associated with the person with an identified data profile having name data that matches the name data of the person, and having a location that is within the distance threshold of the location of the other data comprises only merging the data associated with the person with an identified data profile having name data that matches the name data of the person, and having a location that is within the distance threshold of the location of the other data when the frequency is less than a predetermined threshold, otherwise creating and storing a new data profile including the name data and other data for the person.

2. The method of claim 1, further comprising creating a partial-profile data record including the name data and the other data and storing the partial-profile data record in a database of a server when the other data does not include a unique item of information associated with the person.

3. The method of claim 1, wherein the unique item of information is selected from a group comprising a location, an e-mail address, and a telephone number.

4. The method of claim 1, wherein in the absence of an identified data profile having name data that matches the name data of the person and having a location that is in the vicinity of the location of the other data, creating and storing a new data profile including the name data and other data for the person.

5. The method of claim 1, wherein the location is selected from the group comprising a street address, a city, a county, a state, a country, and a latitude and longitude coordinate.

6. The method of claim 1, wherein the vicinity of the location of the other data comprises a predetermined distance from the location of the other data.

7. The method of claim 6, wherein the predetermined distance is greater for name data having a high frequency of occurrence.

8. The method of claim 1, wherein a geographic area of the vicinity of the location of the other data varies directly with the frequency of occurrence of the name data, such that relatively more unique name data corresponds to a relatively smaller geographic area and relatively less unique name data corresponds to a relatively larger geographic area.

9. The method of claim 1, further comprising comparing the data associated with the person to the identified data profile and calculating a numeric indication of a relative match strength between the data associated with the person and the identified data profile, and merging the data associated with the person with the identified data profile only if the numeric indication meets or exceeds a predetermined threshold value.

10. A method of indexing information available from public sources over a network and corresponding to a person via a personal information aggregation system that includes a personal information aggregation system that includes a first server, a processor, and a database of profiles stored in a memory device, comprising:

receiving at the first server, data associated with a person, the data associated with the person being publicly available over a network and including name data comprising at least a first name and a last name and including other data;

using the processor to determine whether the other data includes a unique item of information associated with the person, and when the other data includes a unique item of information associated with the person, performing the steps of;

querying the database of profiles, the database of profiles including a plurality of data profiles, each of the data profiles having data corresponding a previously-profiled person, to determine whether the name data and unique item of information of the data associated with the person match name data and a unique item of information of one of the plurality of data profiles of the database of profiles;

merging the data associated with the person with the one of the plurality of data profiles when both the name data and unique item of information of the data associated with the person match the name data and the unique item of information of the one of the plurality of data profiles;

determining whether the other data includes a location when the name data and unique item of information associated with the person do not match the name data and unique item of information of the one of the plurality of data profiles, and when the other data does not include a location, creating a partial-profile data record including the name data and the other data;

querying the database of profiles to identify data profiles having name data that matches the name data of the person, and having a location that is in a geographic vicinity of the location of the other data;

merging the data associated with the person with an identified data profile having name data that matches the name data of the person, and having a location that is in the geographic vicinity of the location of the other data; and

calculating a frequency for instances of the name data having a location within a distance threshold of the geographic vicinity, and wherein merging the data associated with the person with an identified data profile having name data that matches the name data of the person, and having a location that is within the distance threshold of the location of the other data comprises only merging the data associated with the person with an identified data profile having name data that matches the name data of the person, and having a location that is within the distance threshold of the location of the other data when the frequency is less than a predetermined threshold, otherwise creating and storing a new data profile including the name data and other data for the person.

11. The method of claim 10, wherein the vicinity of the location of the other data comprises a predetermined distance from the location of the other data.

12. The method of claim 10, further comprising creating a partial-profile data record including the name data and the other data and storing the partial-profile data record in a database of a server when the other data does not include a unique item of information associated with the person.

13. The method of claim 10, wherein the unique item of information is selected from a group consisting of a location, an e-mail address, and a telephone number.

14. The method of claim 10, wherein the location is selected from the group consisting of a street address, a city, a county, a state, a country, and a latitude and longitude coordinate.

15. The method of claim 10, further comprising comparing the data associated with the person to the identified data profile and calculating a numeric indication of a relative match strength between the data associated with the person and the identified data profile, and merging the data associated with the person with the identified data profile only if the numeric indication meets or exceeds a predetermined threshold value.

16. A method of searching for personal information available from public sources over a network, comprising:

receiving at a client computer search-request data associated with a person;

transmitting from the client computer over a network, a request to search for personal information associated with the person to a personal information aggregation system, the search request including the search-request data associated with the person;

receiving at the client computer search-result data transmitted from the personal information aggregation system in response to the search request, the search result data including the personal information associated with the person, and retrieved from a database of the personal information aggregation system, the personal information aggregation system including a first server, a processor, and the database stored in a memory device, and configured to create and store the database by implementing the steps of;

receiving at the first server, data associated with the person, the data associated with the person being publicly available over a network and including name data comprising at least a first name and a last name and including other data;

using the processor to determine whether the other data includes a unique item of information associated with the person, and when the other data includes a unique item of information associated with the person, performing the steps of;

querying the database including a plurality of data profiles, each of the data profiles having data corresponding a previously-profiled person, to determine whether the name data and unique item of information of the data associated with the person match name data and a unique item of information of one of the plurality of data profiles of the database of profiles;

merging the data associated with the person with the one of the plurality of data profiles when the name data and unique item of information of the data associated with the person match the name data and the unique item of information of the one of the plurality of data profiles;

determining whether the other data includes a location when the name data and unique item of information associated with the person do not match the name data and unique item of information of the one of the plurality of data profiles, and when the other data does not include a location, creating a partial-profile data record including the name data and the other data, and when the other data does include a location and the name data matches the name data of the one of the plurality of data profiles, perform the steps of;

querying the database of profiles to identify data profiles having name data that matches the name data of the person, and having a location that is in a geographic vicinity of the location of the other data; and

merging the data associated with the person with an identified data profile having name data that matches the name data of the person, and having a location that is in the geographic vicinity of the location of the other data, thereby indexing publicly-available information of the person;

calculating a frequency for instances of the name data having a location within a distance threshold of the geographic vicinity and wherein merging the data associated with the person with an identified data profile having name data that matches the name data of the person, and having a location that is within the distance threshold of the location of the other data comprises only merging the data associated with the person with an identified data profile having name data that matches the name data of the person, and having a location that is within the distance threshold of the location of the other data when the frequency is less than a predetermined threshold, otherwise creating and storing a new data profile including the name data and other data for the person.

17. The method of claim 16, further comprising displaying at the client computer the computer search-result data transmitted from the first server of the personal information aggregation system in response to the search request.

18. The method of claim 17, wherein the displayed search-result data is displayed as an e-mail overlay.

19. The method of claim 16, wherein the request to search for personal information associated with the person to a personal information aggregation system is automatically generated based on a user inputting name data into the client computer.