Reputation assessment via karma points

• US 8,620,822 B2
• Filed: 02/01/2007
• Issued: 12/31/2013
• Est. Priority Date: 02/01/2007
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Wiseman, Garry R., Weber, Kurt
• Primary Examiner(s): CHEUNG, CALVIN K
• Application Number:
  US11/670,130
• Publication Number:
  US 20080189164A1
• Time in Patent Office: 2,525 Days
• Field of Search: 705/64, 705/67, 705/14.51
• US Class Current: 705/67
• CPC Class Codes: G06Q 20/3674 involving authentication
• CPC Class Codes: G06Q 20/40 Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/06 Buying, selling or leasing transactions
• CPC Class Codes: G06Q 30/0601 Electronic shopping [e-shopping]

Abstract

The claimed subject matter provides a system and/or a method that facilitates ensuring reliability in an online transaction. An interface component can receive data related to at least one user involved with an online transaction associated with commerce. An evaluation component can generate a reputation associated with the user based on at least one online activity and can employ a pre-determined handshake period for at least one of a feedback on the online transaction or an acknowledgement of a portion of the online transaction.

Claims

1. A computer implemented system having processor, memory, and data storage subsystems that facilitates ensuring reliability in a transaction, the computer implemented system comprising:

an interface component of the computer system that receives data related to at least one of a user, a client, or an entity; and

an evaluation component that generates, via the processor, a reputation assessment based upon one or more received factors from another network, associated with at least one of the user, the client, or the entity received from the interface component and based on at least one online activity related thereto, at least one of the user, the client, or the entity utilizes the reputation assessment for an involvement in an online transaction associated with commerce;

wherein the evaluation component employs a pre-determined handshake acknowledgement and feedback period for a portion of offline activity, and an acknowledgement and feedback of a portion of the online transaction prior to completion of the transaction, and integrity of the evaluation component is facilitated by an intelligent component.

2. The computer implemented system of claim 1, wherein the intelligent component computes a probability distribution over states of a system, environment, and user based upon received data and events.

3. The computer implemented system of claim 2, wherein the one or more states are inferred using one of a support vector machine, a neural network, an expert system, a Bayesian belief network, fuzzy logic, or a data fusion engine.

4. The computer implemented system of claim 1, wherein the online activity relates to at least one of a portion of information gleaned from a disparate website, or a portion of information gleaned from a disparate network.

5. The computer implemented system of claim 4, wherein the evaluation component invokes a point-based technique for the reputation assessment, and the reputation assessment receives an increase for positive data detected and a decrease for negative data detected.

6. The computer implemented system of claim 1, wherein the reputation assessment utilizes a statistical regression classification to develop models of priority.

7. The computer implemented system of claim 1, wherein the intelligent component infers states from observed events and stored data to construct new events and actions.

8. The computer implemented system of claim 7, wherein the pre-determined handshake period negatively affects the reputation assessment if at least one of an agreement, a factor, or a criteria associated with a portion of the transaction is not satisfied.

9. The computer implemented system of claim 7, wherein the pre-determined handshake period positively affects the reputation assessment if at least one of an agreement, a factor, or a criteria associated with a portion of the transaction is satisfied.

10. The computer implemented system of claim 1, further comprising an aggregation component that identifies and prioritizes portions of data related to online activity in order to generate the reputation assessment, wherein the aggregation component is incorporated into the evaluation component.

11. The computer implemented system of claim 10, further comprising an analyzer component that ascertains the prioritized portions of data are at least one of a positive factor or a negative factor on the reputation assessment.

12. The computer implemented system of claim 1, wherein the online transaction includes a portion of the transaction that occurs outside of the Internet, and the portion of the transaction is at least one of an on-site item, an on-site service, a physical appearance, a service arrangement, or an in-person transaction.

13. The computer implemented system of claim 1, further comprising a community network.

14. The computer implemented system of claim 1, further comprising an appeal that enables mitigating a negative portion related to the reputation assessment.

15. The computer implemented system of claim 14, wherein the mitigation of the negative portion related to the reputation assessment is based upon at least one of a corrective action, an attempt to correct a defect, an attempt to correct a problem with a transaction, or a positive action to correct an error related to a portion of the transaction.

16. A computer-implemented system having processor, memory, and data storage subsystems that facilitates ensuring reliability in an online transaction, the computer-implemented system comprising:

means for receiving data via an evaluation component of the data storage subsystem related to at least one user involved with an online transaction associated with commerce;

means for generating a reputation assessment based upon received handshake rating data and based upon one or more received factors from another network, associated with the at least one user based on at least one online activity;

means for employing a pre-determined time period to discern whether a portion of criteria associated with offline activity has been satisfied, and an acknowledgement and feedback of a portion of the online transaction prior to completing the online transaction; and

means for computing a probability distribution over one or more states of the at least one user.