System and method of ranking and searching for professional profiles

• US 8,464,162 B2
• Filed: 09/17/2010
• Issued: 06/11/2013
• Est. Priority Date: 09/17/2009
• Status: Expired due to Fees

• Current Assignee: Thomas Zuber
• Original Assignee: Thomas Zuber
• Inventors: Zuber, Thomas
• Primary Examiner(s): Hutton, Jr., Doug
• Assistant Examiner(s): SUN, LI P
• Application Number:
  US12/885,325
• Publication Number:
  US 20110066954A1
• Time in Patent Office: 998 Days
• Field of Search: 715/751, 715/400, 707/734, 709/206, 705/400
• US Class Current: 715/751
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 10/107 Computer-aided management of electronic mailing [e-mailing]
• CPC Class Codes: G06Q 30/0283 Price estimation or determination

Abstract

A method for searching and ranking professional profiles includes a profile ranking tool that assigns a numeric value to a professional'"'"'s prestige and competence, called an overall quality score. Different weights are assigned to several different factors that rank a professional based on attributes such as one'"'"'s peer rating, quality of education, breadth and depth of experience and the quality of work product.

Claims

1. A method for ranking and searching professional profiles in an online social network, comprising:

accessing the online social network, wherein the online social network has members, each of the members being a professional and having at least one profile;

searching the professional profiles of the members in the online social network using a profile ranking tool, wherein the professional profiles are ranked based on an overall quality score assigned to each of the members;

wherein the overall quality score of each member is a function of the following;

a peer rating factor determined by votes assigned to the each member by other members of the online social network, each of the assigned votes weighted as a function of the overall quality score of the member assigning the vote;

an education factor determined by a peer rating value assigned to at least one school attended by the each member;

an experience factor determined by a length of time of experience of the each member;

a popularity of articles factor determined by votes assigned to the articles written by the each member by other members of the online social network, each of the assigned votes weighted as a function of the overall quality score of the member assigning the vote;

a popularity of seminars factor, determined by votes assigned to the seminars given by the each member by other members of the online social network, each of the assigned votes weighted as a function of the overall quality score of the member assigning the vote; and

a familiarity factor determined by a number of shared contacts the each member has in common with the member searching for professional profiles.

2. The method of claim 1, wherein the peer rating factor is multiplied by 0.2, the education factor is multiplied by 0.1, the experience factor is multiplied by 0.1, the popularity of articles factor is multiplied by 0.05, the popularity of seminars factor is multiplied by 0.05, and the familiarity factor is multiplied by 0.5.

3. A method for ranking and searching professional profiles in an online social network, comprising:

accessing the online social network, wherein the online social network has members, each of the members being a professional and having at least one profile;

searching the professional profiles of the members in the online social network using a profile ranking tool, wherein the professional profiles are ranked based on an overall quality score assigned to each of the members;

wherein the overall quality score of each member is a function of the following;

a peer rating factor determined by votes assigned to the each member by other members of the online social network, each of the assigned votes weighted as a function of the overall quality score of the member assigning the vote;

an education factor determined by a peer rating value assigned to at least one school attended by the each member;

an experience factor determined by a length of time of experience of the each member;

a work products factor determined by votes assigned to the work products of the each member by other members of the online social network, each of the assigned votes weighted as a function of the overall quality score of the member assigning the vote, wherein the work products include articles written by the each member and seminars given by the each member; and

a familiarity factor determined by a number of shared contacts the each member has in common with the member searching for professional profiles.