Identity crowd-sourced curation

Patent metadata

Field	Value
Publication number	US-9300756-B2
Application number	US-201314024423-A
Country	US
Kind code	B2
Filing date	Sep 11, 2013
Priority date	Sep 28, 2012
Publication date	Mar 29, 2016
Grant date	Mar 29, 2016

Abstract

A method includes gathering a plurality of instances of online activity associated with a user, analyzing the plurality of instances of online activity to determine a characteristic that is likely to correspond to a profile attribute of the user and generating a profile enrichment suggestion for the user based on the determined characteristic.

First claim

What is claimed is:

1. A computer-implemented method comprising:
determining that an amount of user information in one or more areas of a profile associated with a user is smaller than a threshold amount;
gathering, in response to determining that the amount of user information in the one or more areas of the profile is smaller than the threshold amount, a plurality of instances of online activity associated with the user;
determining that the plurality of instances of online activity relates to a characteristic that is likely to correspond to at least one of the one or more areas in the profile containing an amount of user information determined to be smaller than the threshold amount; and
generating a profile enrichment suggestion associated with the characteristic for provisioning to the user, the characteristic being applied to the at least one of the one or more areas in the profile based on the generated profile enrichment suggestion.

2. The computer-implemented method of claim 1 , further comprising:
determining a contact associated with the user for making the generated profile enrichment suggestion to the user; and
providing the generated profile enrichment suggestion to the determined contact for sending to the user.

3. The computer-implemented method of claim 1 , wherein the profile enrichment suggestion is generated for the user in response to a request for the profile enrichment suggestion received from a contact associated with the user.

4. The computer-implemented method of claim 3 , further comprising:
providing the generated profile enrichment suggestion to the contact associated with the user for sending to the user.

5. The computer-implemented method of claim 1 , wherein the profile enrichment suggestion is generated for the user in response to a request for the profile enrichment suggestion received from the user.

6. The computer-implemented method of claim 5 , further comprising:
providing the generated profile enrichment suggestion to the user.

7. The computer-implemented method of claim 1 , wherein determining that the plurality of instances of online activity relates to the characteristic that is likely to correspond to at least one of the one or more areas in the profile sparse in information about the user comprises identifying a plurality of profile attributes in the profile.

8. The computer-implemented method of claim 7 , further comprising determining the characteristic based on the plurality of profile attributes in the profile.

9. The computer-implemented method of claim 8 , further comprising:
determining whether the characteristic fits within at least one profile attribute of the plurality of profile attributes in the profile; and
in a case that the characteristic does not fit within at least one profile attribute of the plurality of profile attributes, creating a new profile attribute for the user.

10. The computer-implemented method of claim 1 , wherein the online activity of a user comprises at least one of public online activity of the user or private online activity of the user.

11. The computer-implemented method of claim 1 , further comprising:
generating an indication of a reason for why the profile enrichment suggestion is generated, the indication being included in the profile enrichment suggestion.

12. The computer-implemented method of claim 1 , further comprising:
determining, in response to determining that the amount of user information in the one or more areas of the profile is smaller than the threshold amount, that the profile is a candidate for receiving a profile enrichment suggestion.

13. A computer readable storage medium comprising instructions stored therein, which when executed by one or more processors, cause the one or more processors to perform operations comprising:
receiving, from a first user, an indication of a selection of a characteristic for an attribute of a profile associated with a second user;
determining that an amount of user information in one or more areas of the profile is smaller than a threshold amount;
determining, in response to determining that the amount of user information in the one or more areas of the profile is smaller than the threshold amount, that the selection of the characteristic likely corresponds to at least one of the one or more areas in the profile containing an amount of user information determined to be smaller than the threshold amount;
generating, in response to determining that the selection of the characteristic likely corresponds to at least one of the one or more areas in the profile containing an amount of user information determined to be smaller than the threshold amount, a profile enrichment suggestion for the second user using the received indication of the selection; and
providing the profile enrichment suggestion to the second user, the characteristic being applied to the at least one of the one or more areas in the profile based on the generated profile enrichment suggestion.

14. The computer readable storage medium of claim 13 , the operations further comprising:
determining whether the first user is a reliable source of the profile enrichment suggestion; and
providing the profile enrichment suggestion to the second user when the first user is determined to be a reliable source of the profile enrichment suggestion.

15. The computer readable storage medium of claim 13 , the operations further comprising:
determining whether the characteristic selected by the first user is redundant for the attribute of the profile associated with the second user; and
providing the profile enrichment suggestion to the second user when the characteristic selected by the first user is not redundant.

16. The computer readable storage medium of claim 15 , the operations further comprising:
determining whether the characteristic selected by the first user fits into an existing profile attribute of the second user; and
in a case that the characteristic selected by the first user fits into the existing profile attribute, adding the characteristic selected by the first user to the existing profile attribute of the second user.

17. The computer readable storage medium of claim 15 , the operations further comprising:
creating an profile attribute corresponding to the characteristic selected by the first user, in a case that the characteristic selected by the first user does not fit into the profile attribute of the second user.

18. A system comprising:
a memory storing executable instructions; and
one or more processors configured to execute the executable instructions stored in the memory, which when executed by the one or more processors, cause the one or more processors to perform operations comprising:
determining that an amount of user information in one or more areas of a profile associated with a user is smaller than a threshold amount;
determining that a plurality of instances of online activity relates to a characteristic that is likely to correspond to at least one of the one or more areas in the profile containing an amount of user information determined to be smaller than the threshold amount; and
generating a profile enrichment suggestion associated with the characteristic for provisioning to the user, the characteristic being applied to the at least one of the one or more areas in the profile based on the generated profile enrichment suggestion.

19. The system of claim 18 , wherein the operations further comprise gathering the plurality of instances of online activity associated with the user.

Assignees

• Google Inc

Inventors

• Su Sara Lee
• Dardyk Gregory
• Brandt Michael
• Mcphie Jonathan
• Shankar Umesh
• Mcgriff Ii Marlo James
• Zuniga Jr Jose Javier
• Miller Mor
• Green Travis Harrison Kroll
• Amarilio Tomer
• Trew Brandon Kyle
• Stefanov Hristo Stefanov
• Oehler Christoph Urs
• Fredinburg Dan
• Swerdlow Andrew
• Deguine Etienne
• Unger Giora
• Loubser Max Michiel
• Harrison Kyle Garner
• Kruger Lars Fabian
• Klein Peter Tomlinson
• Lai Si-Wai Yan
• Taylor Joseph Adam
• Huml Alison Michelle
• Judd Tilke Mary
• Lam Bao
• Rechav Geva
• Thomas Mark Russell
• Schmidt Lauren A

Classifications

• H04L67/22

  Electricity · mapped topic

• H04L67/306 Primary

  User profiles · CPC title

• G06Q50/02

  Agriculture; Fishing; Forestry; Mining · CPC title

• H04L67/02

  based on web technology, e.g. hypertext transfer protocol [HTTP] · CPC title

• H04L67/535

  Tracking the activity of the user (network monitoring arrangements H04L43/00; recording of computer activity G06F11/34) · CPC title