Personalized profile for evaluating content

• US 20050131918A1
• Filed: 05/24/2004
• Published: 06/16/2005
• Est. Priority Date: 12/12/2003
• Status: Abandoned Application

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google LLC (Alphabet Inc.)
• Inventors: Hillis, W. Daniel, Ferren, Bran
• Application Number:
  US10/852,804
• Publication Number:
  US 20050131918A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

The invention provides a method and apparatus for evaluating content by combining ratings obtained from one or more evaluation systems according to the preferences of a particular user. To determine a combined rating for a portion of content of interest to the user, an evaluation profile, potentially unique to the user, is consulted to identify at least one contributing evaluation system. Each of the contributing evaluation systems identified is queried to obtain a rating that represents the value of the content, as judged by an evaluation authority that manages the evaluation system. The ratings obtained are combined in a manner specified by the evaluation profile to determine a combined rating that is presented to the user. The combined rating therefore provides a personalized indication of the value of the content to the user.

Claims

1. A method for evaluating content, comprising the steps of:

consulting an evaluation profile which represents evaluation preferences of a user to identify at least one contributing evaluation system;

obtaining at least one content rating from said at least one contributing evaluation system;

determining, based upon said at least one content rating, as specified by said evaluation profile, a combined content rating; and

reporting said combined content rating to a user;

wherein said combined rating provides a personalized indication of the value of said content to said user.

2. The method of claim 1, wherein each of said at least one contributing evaluation systems is managed by an evaluation authority, and

wherein said evaluation profile indicates said user'"'"'s confidence in said evaluation authority.

3. The method of claim 1, additionally comprising the steps of, before said consulting step:

determining a type for said content; and

selecting said evaluation profile from among a plurality of available evaluation profiles based on said type.

4. The method of claim 3, wherein said type indicates any of:

a form of said content; and

a topic of said content.

5. The method of claim 3, wherein said type is specified within an annotated database;

and wherein said type is determined by consulting said annotated database.

6. The method of claim 1, wherein said content is accessible via the World Wide Web.

7. The method of claim 1, wherein said evaluation profile is customized by said user.

8. The method of claim 1, wherein said evaluation profile comprises a combination of a plurality of evaluation profiles.

9. The method of claim 1, wherein said evaluation profile comprises at least one evaluation profile defined by an individual other than said user.

10. The method of claim 1, wherein, with regard to said content, said at least one content rating indicates any of:

reliability;

trustworthiness;

accuracy;

impartiality; and

quality.

11. The method of claim 1, wherein at least one of said at least one contributing evaluation system precomputes a content rating for portions of said content for which content ratings are frequently requested.

12. The method of claim 1, wherein a plurality of said evaluation profiles, each maintained by one of a plurality of users, are analyzed to determine a consensus among said plurality of users.

13. The method of claim 1, wherein said at least one content rating is numerical.

14. The method of claim 13, wherein said combining step comprises an averaging procedure.

15. The method of claim 14, wherein said averaging procedure comprises a weighted averaging procedure.

16. The method of claim 13, wherein said combining step comprises a calculation of any of:

a sum of said content ratings;

a mean of said content ratings;

a mode of said content ratings; and

a median of said content ratings.

17. A system for evaluating content comprising:

a plurality of evaluation profiles, each maintained by at least one of a plurality of users;

a plurality of evaluation systems;

means for identifying a portion of content of interest to a user;

means for consulting at least one evaluation profile maintained by said user, said consulting means identifying, among said evaluation systems, at least one contributing evaluation system;

means for obtaining at least one content rating for said portion of content from said at least one contributing evaluation system;

means for determining, based on said at least one content rating, as specified by said at least one evaluation profile, a combined content rating; and

means for reporting said combined content rating to said user; and

wherein said combined content rating provides a personalized indication of the value of said content to said user.

18. The system of claim 17, wherein at least one of said evaluation profiles maintained by a first of said users is based on at least one evaluation profile maintained by at least a second of said users.

19. The system of claim 17, wherein at least one of said at least one contributing evaluation system precomputes a content rating for portions of said content for which content ratings are frequently requested.

20. The system of claim 17, wherein said evaluation profiles are analyzed to determine a consensus among said plurality of users.