Global Contact Lists and Crowd-Sourced Caller Identification

• US 20140201246A1
• Filed: 05/29/2013
• Published: 07/17/2014
• Est. Priority Date: 01/16/2013
• Status: Abandoned Application

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Klein, Daniel Victor, Jackson, Dean Kenneth
• Application Number:
  US13/904,800
• Publication Number:
  US 20140201246A1
• Time in Patent Office: Days
• US Class Current: 707/803
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

Implementations of the present disclosure provide for constructing crowd-sourced global contact lists and for providing caller identification functions. Additional implementations of the present disclosure provide for providing spam identification. The systems and methods described herein contemplate aggregating the information stored in multiple local contact lists. The systems and methods further contemplate analyzing and processing the aggregated information in order to construct a global contact list. The analyzing and processing may involve identifying each phone number appearing in any of the local contact lists, identifying all fields associated with those phone numbers, and identifying, for each field contained in the local contact lists, an entry for which the local contact lists exhibit a threshold degree of consensus. The global contact list created from the aggregation of information from local contact lists can be employed to provide caller identification and spam identification features.

Claims

1. A method for constructing a crowd-sourced global contact list, the global contact list comprising one or more contacts, one or more fields associated with each contact, and an entry corresponding to each of the one or more fields, the method comprising:

aggregating information stored at one or more local contact lists;

determining, from the aggregated information, a set of unique identifiers, wherein each unique identifier corresponds to a single contact;

determining, for each contact, a set of entries for each field associated with the contact, wherein each entry is associated with the unique identifier defining the contact in one or more of the local contact lists;

determining, for each contact, whether a consensus entry exists for each field associated with the contact, wherein a consensus entry exists if a unique entry is associated with the unique identifier in a threshold percentage of the local contact lists that contain the unique identifier; and

populating each field for each contact in the global contact list for which a consensus entry exists with the consensus entry corresponding to that field.

2. The method of claim 1, wherein the unique identifiers are phone numbers.

3. The method of claim 1, wherein entries that exhibit a sufficient degree of similarity are collectively considered to be a single unique entry.

4. The method of claim 3, wherein entries exhibit a sufficient degree of similarity if the entries exhibit one of the group consisting of:

a checksum match, a sounds-like match, a phonetic match, and a fuzzy match.

5. The method of claim 4, wherein a sounds-like match includes a match identified by one of the group consisting of:

a Levenstein distance algorithm, a Soundex algorithm, and a Metaphone algorithm.

6. The method of claim 1, further comprising:

populating each field for each contact in the global contact list for which a consensus entry does not exist with a null value.

7. A system for constructing and maintaining a crowd-sourced global contact list, the global contact list comprising one or more contacts, one or more fields associated with each contact, and an entry corresponding to each of the one or more fields, the system comprising:

a server, configured to receive local contact list data, to aggregate local contact list data, to determine, from the aggregated local contact list data, a set of unique identifiers wherein each identifier corresponds to a single contact, to determine, for each contact, a set of entries for each field associated with the contact wherein each entry is associated with the unique identifier defining the contact in one or more of the local contact lists, to determine, for each contact, whether a consensus entry exists for each field associated with the contact wherein a consensus entry exists if a unique entry is associated with the unique identifier in a threshold percentage of the local contact lists that contain the unique identifier, and to populate each field for each contact in the global contact list for which a consensus entry exists with the consensus entry corresponding to that field; and

a database, configured to store local contact list data and the global contact list data.

8. The system of claim 7, wherein the unique identifiers are phone numbers.

9. The system of claim 7, wherein entries that exhibit a sufficient degree of similarity are collectively considered to be a single unique entry.

10. The system of claim 9, wherein entries exhibit a sufficient degree of similarity if the entries exhibit one of the group consisting of:

a checksum match, a sounds-like match, a phonetic match, and a fuzzy match.

11. The system of claim 10, wherein a sounds-like match includes a match identified by one of the group consisting of:

a Levenstein distance algorithm, a Soundex algorithm, and a Metaphone algorithm.

12. The system of claim 7, further comprising:

populating each field for each contact in the global contact list for which a consensus entry does not exist with a null value.

13. A method implemented at a computer readable medium for providing caller identification information to a recipient of a call, wherein the caller identification information is generated from a crowd-sourced global contact list, the method comprising:

receiving a notification that a call was placed to a called client;

receiving information pertaining to a caller that placed the call;

identifying, from the information pertaining to the caller, a contact in the crowd-sourced global contact list; and

transmitting information pertaining to the caller to the called client.

14. The method of claim 13, wherein the method further comprises:

determining that the called client is not permitted to receive all of the information stored in the crowd-sourced global contact list pertaining to the caller;

determining a subset of the information stored in the crowd-sourced global contact list pertaining to the caller that the called client is permitted to receive; and

transmitting the subset of the information stored in the global contact list that the called client is permitted to receive to the called client.

15. The method of claim 14, wherein the subset of the information stored in the global contact list that the called client is permitted to receive includes one of the group consisting of:

an email address, a social network profile, a telephone number, a photo, an identity of a user account, and a user alias.

16. The method of claim 14, wherein determining that the called client is not permitted to receive all information stored in the crowd-sourced global contact list pertaining to the caller involves determining that the called client is not a member of a social network of the caller.

17. The method of claim 13, further comprising:

determining that a contact in a local contact list associated with the called client corresponds to the caller; and

determining that information pertaining to the caller stored at the local contact list differs from information pertaining to the caller stored at the global contact list.

18. The method of claim 17, further comprising:

transmitting instructions to the called client to display a prompt to revise the information pertaining to the caller stored at the local contact list.

19. The method of claim 17, further comprising:

determining that the information pertaining to the caller stored at the local contact list should supersede the information pertaining to the caller stored at the global contact list for caller identification purposes; and

transmitting instructions to the called client to display the information stored at the local contact list.

20. The method of claim 13, further comprising:

transmitting instructions to the called client to add the information pertaining to the caller to a local contact list associated with the called client.