Reputation report with recommendation

• US 10,185,715 B1
• Filed: 03/13/2014
• Issued: 01/22/2019
• Est. Priority Date: 12/21/2012
• Status: Active Grant

• Current Assignee: Reputation.com, Inc.
• Original Assignee: Reputation.com, Inc.
• Inventors: Saxe, James Andrew, Lang, Noah Benjamin, Dignan, Thomas Gerardo, Null, Bradley William
• Primary Examiner(s): Ouellette, Jonathan P
• Application Number:
  US14/210,052
• Time in Patent Office: 1,776 Days
• Field of Search: 705 11-912
• CPC Class Codes: G06F 16/245 Query processing
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 16/93 Document management systems
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

The generation of an online reputation report for an individual is disclosed. First, an online reputation assessment is performed for an individual. Then, a report is generated. The report includes an individualized recommendation based on the online reputation assessment. The recommendation can be directed to the individual and can also be directed to an entity other than the individual.

Claims

1. A system, comprising:

one or more processors configured to;

perform an automated preliminary coding of a document potentially pertaining to an individual, wherein the automated preliminary coding of the document is based at least in part on at least one of an amount of time that the document has been available online and a domain from which the document was retrieved;

perform an assessment of an online reputation of the individual, wherein the assessment is performed based at least in part on the automated preliminary coding of the document;

based at least in part on the online reputation assessment, generate a reputation report, wherein the reputation report includes an individualized recommendation with respect to the document, and wherein the individualized recommendation with respect to the document is based at least in part on the automated preliminary coding of the document; and

providing the generated reputation report as output; and

a memory coupled to the one or more processors and configured to provide the one or more processors with instructions.

2. The system of claim 1 wherein the one or more processors are further configured to perform a search associated with the individual, and wherein the document comprises a search result obtained based at least in part on the search.

3. The system of claim 1 wherein the document is coded as revealing private information of the individual.

4. The system of claim 1 wherein the document is coded as positive.

5. The system of claim 1 wherein the document is coded as negative.

6. The system of claim 1 wherein the document is coded as not pertaining to the individual.

7. The system of claim 1 wherein the document is coded as a document to be monitored.

8. The system of claim 1 wherein the document is coded as a document under the control of the individual.

9. The system of claim 1 wherein the document is coded in at least two dimensions.

10. The system of claim 9 wherein a first dimension indicates whether the document expresses positive or negative sentiment and wherein a second dimension indicates whether a source of the document is trustworthy or untrustworthy.

11. The system of claim 9 wherein a first dimension indicates whether the document expresses positive or negative sentiment and wherein a second dimension indicates a topical categorization of the document.

12. The system of claim 11 wherein the topical categorization comprises at least one of a financial categorization, a relationship categorization, and a legal categorization.

13. The system of claim 1 wherein the document includes private information, and wherein the individualized recommendation includes a recommendation to safeguard the private information.

14. The system of claim 1 wherein the reputation report includes a recommendation to repeat the assessment after a specified amount of time.

15. The system of claim 1 wherein the online reputation assessment includes a reputation score.

16. The system of claim 1 wherein the individualized recommendation is directed to an entity other than the individual.

17. The system of claim 1 wherein the individualized recommendation includes an action to take on behalf of the individual.

18. The system of claim 1 wherein the document comprises a search result, wherein the document is coded as negative, and wherein the individualized recommendation includes a recommendation to push the negative result to a lower position in a set of search results.

19. The system of claim 1 wherein the document is coded as negative and as under the control of the individual, and wherein, based at least in part on the coding of the document as negative and as under the control of the individual, the individualized recommendation with respect to the document includes a recommendation to the individual to modify or remove the document.

20. The system of claim 1 wherein the one or more processors are configured to request at least one of a confirmation and an adjustment of the automated preliminary coding of the document.

21. The system of claim 1 wherein performing the automated preliminary coding of the document comprises performing sentiment analysis.

22. A method, comprising:

performing an automated preliminary coding of a document-potentially associated with an individual, wherein the automated preliminary coding of the document is based at least in part on at least one of an amount of time that the document has been available online and a domain from which the document was retrieved;

performing, using one or more processors, an assessment of an online reputation of an individual, wherein the assessment is based at least in part on the automated preliminary coding of the document;

based at least in part on the online reputation assessment, generating a reputation report, wherein the reputation report includes an individualized recommendation with respect to the document, and wherein the individualized recommendation with respect to the document is based at least in part on the automated preliminary coding of the document; and

providing the generated reputation report as output.

24. The method of claim 22 further comprising performing a search associated with the individual, and wherein the document comprises a search result obtained based at least in part on the search.

25. The method of claim 22 wherein the document is coded as revealing private information of the individual.

26. The method of claim 22 wherein the document is coded as positive.

27. The method of claim 22 wherein the document is coded as negative.

28. The method of claim 22 wherein the document is coded as not pertaining to the individual.

29. The method of claim 22 wherein the document is coded as a document to be monitored.

30. The method of claim 22 wherein the document is coded as a document under the control of the individual.

31. The method of claim 22 wherein the document is coded in at least two dimensions.

32. The method of claim 31 wherein a first dimension indicates whether the document expresses positive or negative sentiment and wherein a second dimension indicates whether a source of the document is trustworthy or untrustworthy.

33. The method of claim 31 wherein a first dimension indicates whether the document expresses positive or negative sentiment and wherein a second dimension indicates a topical categorization of the document.

34. The method of claim 33 wherein the topical categorization comprises at least one of a financial categorization, a relationship categorization, and a legal categorization.

35. The method of claim 22 wherein the document includes private information, and wherein the individualized recommendation includes a recommendation to safeguard the private information.

36. The method of claim 22 wherein the reputation report includes a recommendation to repeat the assessment after a specified amount of time.

37. The method of claim 22 wherein the online reputation assessment includes a reputation score.

38. The method of claim 22 wherein the individualized recommendation is directed to an entity other than the individual.

39. The method of claim 22 wherein the individualized recommendation includes an action to take on behalf of the individual.

40. The method of claim 22 wherein the document comprises a search result, wherein the document is coded as negative, and wherein the individualized recommendation includes a recommendation to push the negative result to a lower position in a set of search results.

41. The method of claim 22 wherein the document is coded as negative and as under the control of the individual, and wherein, based at least in part on the coding of the document as negative and as under the control of the individual, the individualized recommendation with respect to the document includes a recommendation to the individual to modify or remove the document.

42. The method of claim 22 further comprising requesting at least one of a confirmation and an adjustment of the automated preliminary coding of the document.

43. The method of claim 22 wherein performing the automated preliminary coding of the document comprises performing sentiment analysis.

23. A computer program product embodied in a non-transitory computer readable storage medium and comprising computer instructions for:

performing an automated preliminary coding of a document-potentially associated with an individual, wherein the automated preliminary coding of the document is based at least in part on at least one of an amount of time that the document has been available online and a domain from which the document was retrieved;

performing, using one or more processors, an assessment of an online reputation of an individual, wherein the assessment is based at least in part on the automated preliminary coding of the document;

based at least in part on the online reputation assessment, generating a reputation report, wherein the reputation report includes an individualized recommendation with respect to the document, and wherein the individualized recommendation with respect to the document is based at least in part on the automated preliminary coding of the document; and

providing the generated reputation report as output.