Reputation system for web pages and online entities

• US 8,015,484 B2
• Filed: 02/09/2007
• Issued: 09/06/2011
• Est. Priority Date: 02/09/2006
• Status: Active Grant

• Current Assignee: Alejandro Backer
• Original Assignee: Alejandro Backer
• Inventors: Backer, Alejandro
• Primary Examiner(s): Ries; Laurie
• Assistant Examiner(s): SMITH, TIONNA M
• Application Number:
  US11/704,730
• Publication Number:
  US 20070208613A1
• Time in Patent Office: 1,670 Days
• Field of Search: 715/234
• US Class Current: 715/234
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 10/107 Computer-aided management of electronic mailing [e-mailing]

Abstract

A method for providing a measure of trust for each participant in a network is disclosed, together with a method to calculate it automatically. In particular, a method for rating online entities, such as online identities is provided, which also takes into account the reputation of the raters.

Claims

1. A method for rating an online entity in accordance with a tag, the method comprising:

arranging the online entity to be rated by a plurality of raters in accordance with the tag;

assigning a rater'"'"'s score to the raters rating the online entity with the tag, to establish reputation of the raters;

assigning a tag score to the online entity, the tag score depending on

i) ratings provided by the raters to the online entity in accordance with the tag, and

ii) the reputation of all raters rating the online entity with the tag,

wherein assigning a tag score to the online entity is established through a raters/entities tag matrix associated with a graph connecting the raters and the online entity,

wherein assigning a rater'"'"'s score to a rater Y rating the entity with a tag T is computed as a function of

i) ratings given to the rater Y,

ii) reputation of raters of the rater Y for each tag matrix of many tag matrices, and

iii) relationship between the many tag matrices and tag matrix T.

2. The method of claim 1, wherein the online entity is selected from the group consisting of a web page, an e-mail address, a telephone number and an online profile.

3. The method of claim 1, wherein assigning a rater'"'"'s score to the raters rating the online entity with the tag is established by associating each rater with an online profile of the rater or one or more e-mail addresses of the rater.

4. The method of claim 1, wherein relationship between tag matrices Ti and Tj is given by a coefficient of correlation between scores computed for each entity for tag i and scores computed for a same entity for tag j.

5. The method of claim 1, wherein the tag score is calculated by calculating a dominant eigenvector of the tag matrix.

6. The method of claim 1, wherein the ratings provided by the raters to the entity in accordance with the tag are selected from the group consisting of Boolean ratings and multivalue ratings.

7. The method of claim 1, wherein the tag matrix allows assigning tag score to a plurality of entities in accordance with the tag, the dominant eigenvector for the tag matrix comprising a plurality of scalar values, each scalar value indicating a tag score for a particular entity for the tag.

8. The method of claim 1, wherein arranging the entity to be rated by a plurality of raters in accordance with the tag is established via a toolbar for the user'"'"'s Internet browser.

9. The method of claim 1, wherein the online entity is definable as a node n, the tag is definable as a tag t, and the tag score is a tag score TR is given as

TR(node n,tag t)=sum over all nodes n¹ who have rated n “

agree”

with tag t of [sum over all tags t′

of (predictivity(t′

→

t)*TR(n′

,t)/number of nodes n′

has rated “

agree”

with tag t/sum over all tags t′

of predictivity(t′

→

t))]−

sum over all nodes n′

who have rated n “

disagree”

with tag t of [sum over all tags t′

of predictivity(t′

→

t)*TR(n′

,t)/number of nodes n′

has rated “

disagree”

with tag t/sum over all tags t′

of predictivity(t′

→

t))].

10. The method of claim 1, wherein rating of the online entity is computed as a function of the eigenvector of a matrix of positive ratings and a negative rating, wherein the negative rating is computed as a function of a number of negative ratings and reputation or rating of raters who gave the negative ratings.