SYSTEMS AND METHODS FOR PROVIDING PERSONALIZED RECOMMENDATIONS OF PRODUCTS AND SERVICES BASED ON EXPLICIT AND IMPLICIT USER DATA AND FEEDBACK

• US 20090276368A1
• Filed: 04/28/2009
• Published: 11/05/2009
• Est. Priority Date: 04/28/2008
• Status: Abandoned Application

• Current Assignee: Strands Incorporated (CRIBIS Holding SRL)
• Original Assignee: Strands Incorporated (CRIBIS Holding SRL)
• Inventors: Brown, Darren, Taylor, Steve, Shur, Jim, Ashenfelter, Adam, Baldwin, Ken, Martin, Francisco J.
• Application Number:
  US12/431,714
• Publication Number:
  US 20090276368A1
• Time in Patent Office: Days
• US Class Current: 705/36.R
• CPC Class Codes: G06Q 40/02 Banking, e.g. interest calculation or account maintenance credit or loans G06Q40/03
• CPC Class Codes: G06Q 40/06 Asset management; Financial planning or analysis

Abstract

The present describes systems and methods to support personal financial management by recommending financial products and services responsive to a user'"'"'s particular financial health or situation based on explicit and implicit user data and feedback.

Claims

1. A method comprising:

fetching financial product data from one or more financial institutions;

retrieving user information from one or more databases configured to store the user information;

retrieving user financial information from one or more databases configured to store the user financial information;

determining user feedback by analyzing the user financial information;

recommending one or more vendors or one or more financial products in response to at least a portion of the product data, user information, user financial information, or user feedback, or combinations thereof.

2. The method of claim 1 wherein the fetching the financial product data includes fetching the financial product data associated with one or more certificates of deposit, investments, securities, stocks, savings accounts, checking accounts, or bonds.

3. The method of claim 1 wherein the fetching the financial product data includes fetching financial product data associated with currently offered financial products and financial products offered in a past.

4. The method of claim 1 wherein the fetching the financial product data includes automatically scrapping the financial product data from online sources.

5. The method of claim 1 wherein the fetching the financial product data includes automatically scrapping the financial product data from online searches.

6. The method of claim 1 wherein the fetching the financial product data includes automatically scrapping the financial product data from a customer relationship management site associated with the one or more financial institutions.

7. The method of claim 1 wherein the fetching the financial product data includes fetching the financial product data from one or more sponsor financial institutions.

8. The method of claim 1 wherein the fetching the financial product data includes storing the financial product data from the one or more financial institutions in one or more databases configured to store the financial product data.

9. The method of claim 1 wherein the retrieving the user information includes retrieving the user information explicitly provided by a user via a graphical interface.

10. The method of claim 1 wherein the retrieving the user information includes retrieving one or more of demographic, marital status, geographic, asset, profession, recreational interests, offspring, or family user information.

11. The method of claim 1 wherein the retrieving the user information includes retrieving the user information implicitly without user intervention by analyzing the user financial information.

12. The method of claim 11 wherein the retrieving the user information implicitly without user intervention by analyzing the user financial information includes determining one or more correlations between one or more aspects of the user financial information.

13. The method of claim 1 wherein the determining the user feedback includes determining the user feedback explicitly provided by a user via a graphical interface.

14. The method of claim 13 wherein the determining the user feedback explicitly includes retrieving one or more of binary or rating usefulness indicators provided by a user.

15. The method of claim 1 wherein the determining the user feedback includes determining the user feedback implicitly without user intervention by analyzing the user financial information.

16. The method of claim 15 wherein the retrieving the user feedback implicitly without user intervention occurs responsive to user conduct associated with the recommended one or more vendors or the one or more financial products.

17. The method of claim 16 wherein the retrieving the user feedback implicitly without user intervention occurs responsive to delayed user conduct associated with the recommended one or more vendors or the one or more financial products.

18. The method of claim 16 wherein the retrieving the user feedback implicitly without user intervention occurs responsive to immediate user conduct associated with the recommended one or more vendors or the one or more financial products.

19. The method of claim 16 wherein the retrieving the user feedback implicitly without user intervention includes assigning a weighing factor to the user conduct associated with the recommended one or more vendors or the one or more financial products.

20. The method of claim 19 wherein the assigning a weighing factor to the user conduct includes assigning a weighing factor that decays over time.

21. The method of claim 1 further comprising fetching tip data from the one or more financial institutions.

22. The method of claim 21 wherein the fetching the tip data includes fetching one or more editorial tips.

23. The method of claim 21 wherein the fetching the tip data includes fetching one or more community tips.

24. The method of claim 23 wherein the fetching the one or more community tips includes filtering the one or more community tips.

25. The method of claim 21 wherein the fetching the tip data includes storing the tip data in one or more databases configured to store tip data.

26. An apparatus, comprising:

means for fetching financial product data from one or more financial institutions;

means for retrieving user information from one or more databases configured to store the user information;

means for retrieving user financial information from one or more databases configured to store the user financial information;

means for determining user feedback by analyzing the user financial information;

means for recommending one or more vendors or one or more financial products in response to at least a portion of the product data, user information, user financial information, or user feedback.

27. The apparatus of claim 26 wherein the financial product data includes one or more certificates of deposit, investments, securities, stocks, savings accounts, checking accounts, or bonds.

28. The apparatus of claim 26 wherein the means for fetching the financial product data includes means for fetching financial product data associated with currently offered financial products and financial products offered in a past.

29. The apparatus of claim 26 wherein the means for fetching the financial product data includes means for automatically scrapping the financial product data from online sources.

30. The apparatus of claim 26 wherein the means for fetching the financial product data includes means for automatically scrapping the financial product data from online searches.

31. The apparatus of claim 26 wherein the means for fetching the financial product data includes means for automatically scrapping the financial product data from a user relationship management site associated with the one or more financial institutions.

32. The apparatus of claim 26 wherein the means for fetching the financial product data includes means for fetching the financial product data from one or more sponsor financial institutions.

33. The apparatus of claim 26 wherein the means for fetching the financial product data includes means for storing the financial product data from the one or more financial institutions in one or more databases configured to store the financial product data.

34. The apparatus of claim 26 wherein the means for retrieving the user information includes means for retrieving the user information explicitly provided by a user via a graphical interface.

35. The apparatus of claim 26 wherein the user information includes one or more of demographic, marital status, geographic, asset, profession, recreational interests, offspring, or family user information.

36. The apparatus of claim 26 wherein the means for retrieving the user information includes means for retrieving the user information implicitly without user intervention by analyzing the user financial information.

37. The apparatus of claim 36 wherein the means for retrieving the user information implicitly without user intervention includes means for determining one or more correlations between one or more aspects of the user financial information.

38. The apparatus of claim 26 wherein the means for determining the user feedback includes means for determining the user feedback explicitly provided by a user via a graphical interface.

39. The apparatus of claim 38 wherein the means for determining the user feedback explicitly includes means for retrieving one or more of binary or rating usefulness indicators provided by a user.

40. The apparatus of claim 26 wherein the means for determining the user feedback includes means for determining the user feedback implicitly without user intervention by analyzing the user financial information.

41. The apparatus of claim 40 wherein the means for retrieving the user feedback implicitly without user intervention occurs responsive to user conduct associated with the recommended one or more vendors or the one or more financial products.

42. The apparatus of claim 40 wherein the means for retrieving the user feedback implicitly without user intervention occurs responsive to delayed user conduct associated with the recommended one or more vendors or the one or more financial products.

43. The apparatus of claim 40 wherein the means for retrieving the user feedback implicitly without user intervention occurs responsive to immediate user conduct associated with the recommended one or more vendors or the one or more financial products.

44. The apparatus of claim 40 wherein the means for retrieving the user feedback implicitly without user intervention includes means for assigning a weighing factor to the user conduct associated with the recommended one or more vendors or the one or more financial products.

45. The apparatus of claim 44 wherein the means for assigning a weighing factor to the user conduct includes means for assigning a weighing factor that decays over time.

46. The apparatus of claim 26 further comprising means for fetching tip data from the one or more financial institutions.

47. The apparatus of claim 46 wherein the means for fetching the tip data includes means for fetching one or more editorial tips.

48. The apparatus of claim 46 wherein the means for fetching the tip data includes fetching one or more community tips.

49. The apparatus of claim 48 wherein the means for fetching the one or more community tips includes means for filtering the one or more community tips.

50. The apparatus of claim 46 wherein the means for fetching the tip data includes means for storing the tip data in one or more databases configured to store tip data.

51. A system, comprising:

one or more databases each configured to store at least a portion of financial product data associated with one or more financial products, at least a portion of personal information, personal financial information, or personal feedback associated with one or more users, or at least a portion of one or more correlations between the financial product data, or personal information, personal financial information, or personal feedback of the one or more users;

one or more worker computing devices each configured to execute instructions stored in the one or more databases associated with;

a fetching module configured to fetch, from one or more financial institutions, the financial product data associated with the one or more financial products or the personal financial information associated with the one or more users;

a correlating module configured to determine the one or more correlations to identify one or more clusters of users; and

a recommending module configured to recommend one or more vendors or one or more financial products in response to at least one of the one or more correlations between the one or more users or the one or more of the clusters of users.

52. The system of claim 51 wherein the one or more financial products include at least one of certificates of deposit, investments, securities, stocks, savings accounts, checking accounts, or bonds.

53. The system of claim 51 wherein the fetching module is further configured to fetch financial product data associated with currently offered financial products and associated with financial products offered in a past.

54. The system of claim 51 wherein the fetching module is further configured to automatically scrape the financial product data from online sources or searches.

55. The system of claim 51 wherein the fetching module is further configured to automatically scrape the financial product data from a user relationship management website associated with the one or more financial institutions.

56. The system of claim 51 wherein the fetching module is further configured to fetch the financial product data from one or more sponsor financial institutions.

57. The system of claim 51 wherein the fetching module is further configured to retrieve the personal financial information associated with the one or more financial products or one or more financial transactions.

58. The system of claim 51 wherein the fetching module is further configured to retrieve the personal financial information associated with one or more loans, credit cards, insurance policies, stocks, certificates of deposits, mortgages, or lines of credit.

59. The system of claim 51 wherein the correlating module is configured to determine correlations between each of the one or more users and each of the one or more clusters of users.

60. The system of claim 59 wherein each correlation includes at least one pair of numbers with a recommended item and an associated value representing a strength of the recommended item.

61. The system of claim 59 wherein the correlating module is configured to generate a vector space model including a vector for the financial product data associated with each of the one or more financial products, a vector for each of the personal information, personal financial information, or personal feedback associated with each of the one or more users, or a vector for each of the correlations.

62. The system of claim 59 wherein the one or more worker computing devices are each configured to executed instructions store in the one or more databases associated with a user interface.

63. The system of claim 62 wherein the user interface is configured to provide a graphical mechanism for a user to explicitly enter the personal information or the personal feedback.