Reputation, Information & Communication Management

• US 20080077517A1
• Filed: 09/20/2007
• Published: 03/27/2008
• Est. Priority Date: 09/22/2006
• Status: Abandoned Application

• Current Assignee: Robert Grove Sappington
• Original Assignee: Robert Grove Sappington
• Inventors: Sappington, Robert Grove
• Application Number:
  US11/858,883
• Publication Number:
  US 20080077517A1
• Time in Patent Office: Days
• US Class Current: 705/35
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes

Abstract

Methods and a system are described for communication and information management. The methods create and manage multi-factor multi-level reputations, detect and manage fraudulent and manipulative behavior, permit management of information and communications, quantify qualitative information, and derive derivative uses (such as prediction and targeted advertising) from multi-factor reputations, data and behavior. The system described is hierarchical with progressive information and communication management capabilities as reputations increase. The structure of the system is designed to assist reputation calculations.

Claims

1. A method to create and modify a user'"'"'s reputation in a network, the method comprising:

data collection from direct input by the user and other users, the user'"'"'s behavior, other users'"'"' behavior and data external to the users;

processing the data to create values for one or more component reputation factors; and

combining the values of multiple reputation factors into a global and/or local reputation value.

2. The method of claim 1 where multiple numerical reputation factors may be combined into a global or local reputation value using a variety of mathematical formulae.

3. The method of claim 2 where data is collected, stored, manipulated and retrieved electronically.

4. The method of claim 3 where reputation factors may be standardized globally, standardized locally, and/or defined by users.

5. The method of claim 4 where one or more reputation factors are derived from one or more other reputation factors.

6. The method of claim 5 where data analysis changes one or more reputation factors in the multi-factor reputation.

7. The method of claim 6 where data and/or reputation factor rank a user by percentile of the total network population.

8. Method to detect user manipulation of their reputation or other user'"'"'s reputation and manage the fraud or manipulation, the method comprising:

the occurrence of a triggering event, data analysis of one or more users'"'"' behavior and stored information and preventing manipulation and/or creating consequences for the manipulating user(s).

9. The method of claim 8 where the triggering event is a time interval, threshold, user action, manual intervention or a combination of these.

10. The method of claim 9 where data analysis changes one or more reputation factors in a user'"'"'s multi-factor reputation.

11. The method of claim 10, where data and/or manipulation factor(s) rank a user by percentile of the total network population.

12. A system comprising:

one or more users communicating and/or using information on one or more computers and/or electronic networks;

global and/or local multi-factor user reputations for each user; and

hierarchies organizing users into progressively more restrictive network levels based upon user multi-factor reputations.

13. A system of claim 12 where the communication is one to one, one to many or many to many via digital or digital to analog computers and/or networks.

14. A system of claim 13 that gradates by hierarchies the functionality of searching, filtering, sorting, ordering, screening, compiling, grouping, deleting, flagging, hiding, highlighting, promoting, modifying and any combination of these capabilities.

15. A system of claim 14 where system structures are designed to inform reputation factors.

16. A system of claim 15 where the information includes administrator and/or user generated:

intranet sites, Internet sites, World Wide Web sites, electronic mail or email, interactive electronic bulletin boards, interactive electronic message boards, online information exchanges, video, audio, text messages, images, news groups, chat rooms, software, synchronous communications, asynchronous communications and data.

17. A system of claim 16 where positive and negative incentives encourage user participation in addition to the progressive management capabilities of the user hierarchy.

18. The system of claim 13 wherein the computers are in a peer computer system.

19. The system of claim 13 wherein the computers are in a server computer system that aggregates reputations of a user.

20. A method of communication and information management, the method comprising:

tagging a communication or information with attributes that include;

content descriptors;

sending the communication or information to a recipient;

algorithms that process the communications or information using the tagged information.

21. The method of claim 20 where the attributes include the creator'"'"'s multi-factor reputation value and the sender'"'"'s multi-factor reputation value.

22. The method of claim 21 where the processing algorithm also uses the recipient'"'"'s behavior patterns and multi-factor reputation.

23. The method of claim 22 where the sender and/or the recipient create a preference profile that may be used to tag information in the sender'"'"'s case or process communications and information in the recipient'"'"'s case.

24. The method of claim 23 where the recipient manipulates communications or content by searching, ordering, screening, compiling, grouping, deleting, flagging, hiding, highlighting, promoting, modifying and any combination of these capabilities using preferences.

25. A method of converting qualitative information sets into quantitative information, the method comprising:

two or more pieces of qualitative information or user behavior patterns, assigning numerical values to each piece of information or behavior pattern, the degree of difference in the numbers assigned being dictated by the similarity or dissimilarity of the information pieces or behavior patterns.

26. The method of claim 25 where the conversion mechanism is based upon user behavior and/or characteristics.

27. The method of claim 26 where numerical weights are combined with the number describing the qualitative information to reflect the strength of the association between the user and qualitative information.

28. A method of converting qualitative information into quantitative information, the method comprising:

one or more characteristics or behaviors of a user and either rules or calculations that translate qualitative information to quantitative form.

29. A method of prediction using user reputation and reputation factors, the method comprising:

a user rating of a target (target being a living being, entity, object, action, event, outcome, algorithm or information);

a measure of success for the rating target;

collecting the ratings and target success values over time; and

performing data analysis of the ratings and success measures to generate values for a global and/or local derivative reputation factor.

30. The method of claim 29 where target characteristics, other reputation factors, user behavior and user characteristics are included in the prediction algorithm.

31. A method of selecting something to present to a user based upon multi-factor reputations, the method comprising:

a population of users with multi-factor reputations, a presentation target (target being an advertisement;

text, image, audio, video or multi-media object), performing data analysis to determine which user(s) are likely to achieve the desired outcome of presenting the target given their multi-factor reputation and/or reputation factors, and presenting the target to the identified user(s).

32. A computer-readable medium containing instructions for controlling a computer system to provide communication and information management, by a method comprising:

the creation and manipulation of multi-factor reputations for a user or users, the control of communications and information to and between users based upon multi-factor reputations and user preferences.

33. The computer-readable medium of claim 32 where:

the multi-factor reputations are adjusted to account for user manipulation attempts, qualitative information is converted into quantitative information, predictions are generated and targeted presentations of things are made from reputations and user information.

34. A computer system for processing communications and information based upon a multi-factor reputation, comprising:

a hierarchical electronic network with progressive communication and information management capabilities defined by multi-factor reputations and utilizing a variety of content types and venues.

35. A business method for operating a multi-factor reputation-based communication or content provision service, the business method comprising:

multi-factor reputation and manipulation management, qualitative information conversion, prediction capabilities, reputation communication and verification, and targeted presentation of items to users.

36. A business method as in claim 35, wherein the remuneration is a financial remuneration, a product remuneration, a service remuneration, a commission remuneration, a referral remuneration, or any combination of the prior.