System and method for reputation rating

• US 20060009994A1
• Filed: 07/07/2004
• Published: 01/12/2006
• Est. Priority Date: 07/07/2004
• Status: Abandoned Application

• Current Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Original Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Inventors: Hogg, Tad, Adamic, Lada
• Application Number:
  US10/887,120
• Publication Number:
  US 20060009994A1
• Time in Patent Office: Days
• US Class Current: 705/319
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

A system and method for reputation rating is disclosed. The method discloses: collecting a set of reputation ratings on a target entity from a set of reputation rating entities; attributing a weight to each of the reputation ratings based on a set of filtering criteria; and combining the weighted reputation ratings to generate a filtered reputation rating with respect to the target entity. The system discloses various means, mediums and systems for effecting the method.

Claims

1. A method for reputation rating, comprising:

collecting a set of reputation ratings on a target entity from an online social network that includes the target entity and a set of reputation rating entities;

attributing a weight to each of the reputation ratings based on a set of filtering criteria; and

combining the weighted reputation ratings to generate a filtered reputation rating with respect to the target entity.

2. The method of claim 1 further comprising:

receiving a request for the target entity'"'"'s reputation rating from an inquirer; and

requesting the set of filtering criteria from the inquirer.

3. The method of claim 2:

wherein collecting includes collecting the reputation ratings on a business; and

wherein receiving includes receiving a request for the business'"'"' reputation rating from a purchaser.

4. The method of claim 1, wherein attributing includes:

assigning the reputation rating entities into one or more classes, using the set of filtering criteria; and

attributing a weight to each of the reputation ratings based on which classes each respective reputation rating entity is a member of.

5. The method of claim 4:

wherein assigning includes assigning a reputation rating entity to more than one class.

6. The method of claim 4:

wherein assigning includes classifying a particular reputation rating entity based on how “

close”

the particular reputation rating entity is to the target entity.

7. The method of claim 6:

wherein close is defined as being within the target entity'"'"'s immediate social circle.

8. The method of claim 6:

wherein close is defined as being a family member of the target entity.

9. The method of claim 6:

wherein close is defined as being a friend of the target entity.

10. The method of claim 4:

wherein assigning includes classifying a particular reputation rating entity based on how “

close”

the particular reputation rating entity is to the inquirer.

11. The method of claim 4:

wherein assigning includes classifying a particular reputation rating entity based on how “

close”

the particular reputation rating entity is to one or more of the reputation rating entities.

12. The method of claim 4:

wherein assigning includes classifying a particular reputation rating entity based on whether the particular reputation rating entity is a member of one or more predefined sub-sets of the online network.

13. The method of claim 12:

wherein a sub-set is defined as those entities appearing without a connection in the online network.

14. The method of claim 12:

wherein a sub-set is defined as those entities having exactly a same set of connections within the online network as another entity.

15. The method of claim 12:

wherein a sub-set is defined as those entities which are near neighbors of the target entity in the online network.

16. The method of claim 12:

wherein a sub-set is defined as those entities who have posted a reputation rating on the target entity.

17. The method of claim 1:

wherein combining includes averaging the weighted reputation ratings to generate an average reputation rating for the target entity.

18. A method for reputation rating, comprising:

collecting a set of reputation ratings on a business from a set of reputation rating entities available on an online social network;

receiving a request for the business'"'"' reputation rating from an inquirer;

requesting a set of filtering criteria from the inquirer;

assigning the reputation rating entities into one or more classes, using the set of filtering criteria;

attributing a weight to each of the reputation ratings based on the set of filtering criteria and which classes each respective reputation rating entity is a member of; and

combining the weighted reputation ratings to generate a filtered reputation rating with respect to the business.

19. A computer-usable medium embodying computer program code for commanding a computer to effect reputation rating, comprising:

collecting a set of reputation ratings on a target entity from a set of reputation rating entities;

attributing a weight to each of the reputation ratings based on a set of filtering criteria; and

combining the weighted reputation ratings to generate a filtered reputation rating with respect to the target entity.

20. The medium of claim 19 further including:

assigning the reputation rating entities into one or more classes, using the set of filtering criteria; and

attributing a weight to each of the reputation ratings based on which classes each respective reputation rating entity is a member of.

21. A system for reputation rating, comprising a:

means for collecting a set of reputation ratings on a target entity from a set of reputation rating entities;

means for attributing a weight to each of the reputation ratings based on a set of filtering criteria; and

means for combining the weighted reputation ratings to generate a filtered reputation rating with respect to the target entity.