Interactive peer directory

• US 20100145937A1
• Filed: 12/02/2009
• Published: 06/10/2010
• Est. Priority Date: 12/10/2008
• Status: Active Grant

• Current Assignee: Gartner, Inc.
• Original Assignee: Gartner, Inc.
• Inventors: Patterson, Maria, Davis, Ken, Mehta, Tirath, Malangi, Girish, Vittal, Malini, Polonsky, Nir
• Granted Patent: US 8,244,674 B2
• Time in Patent Office: Days
• US Class Current: 707/728
• CPC Class Codes: G06F 16/335 Filtering based on additional data, e.g. user or group profiles filtering in web context G06F16/9535, G06F16/9536
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: H04L 67/306 User profiles

Abstract

A system is provided for locating peers having a desired expertise. User profile information is stored in a profiles database. A search engine indexes the profiles database and appends appropriate profile tags to this information. A peer relevancy algorithm searches for candidate peers among the indexed user profile information. Weights are assigned to candidate peers based on different categories of the indexed user profile information, and peer matches are selected based on the assigned weights. In order to provide matches that are most likely to accept a connection request, data is maintained as to which potential peers have a history of accepting requests to connect and which have a history of refusing to connect. Potential matches are biased to favor those that have a tendency to accept connection requests. Contact information of requester and recipients are not disclosed until the recipient accepts the requester'"'"'s connection request.

Claims

1. A peer directory system implemented on a digital computer network, comprising:

a user interface enabling user profile information to be entered and stored in a profiles database;

a search engine adapted to append tags to said user profile information;

a search index associated with said search engine for storing tagged user profile information in an indexed form; and

a peer relevancy algorithm associated with said search engine to search for candidate peers among the indexed user profile information stored in said search index;

said peer relevancy algorithm assigning weights to candidate peers based on different categories of the indexed user profile information and selecting peer matches based on said weights.

2. A peer directory system according to claim 1 wherein a first weight is assigned to candidate peers who have a best initiative match with a user searching for peers.

3. A peer directory system according to claim 2 wherein a second weight is assigned to candidate peers who have a best vendor/product match with said user searching for peers.

4. A peer directory system according to claim 3 wherein a third weight is assigned to candidate peers who have a best primary operating system (OS) match with said user searching for peers.

5. A peer directory system according to claim 4 wherein a fourth weight is assigned to candidate peers who have a best industry match with said user searching for peers.

6. A peer directory system according to claim 5 wherein a fifth weight is assigned to candidate peers who have a best firm size match with said user searching for peers.

7. A peer directory system according to claim 6 wherein:

said first, second, third, fourth and fifth weights are summed across all tags for the candidate peers to provide a composite weight for each candidate peer; and

the candidate peers are sorted by their composite weights.

8. A peer directory system according to claim 7 wherein:

said search index stores information indicative of past connection responses for candidate peers; and

said peer relevancy algorithm provides;

(a) a negative bias to candidate peers that have poor past connection responses, and

(b) a positive bias to candidate peers that have good past connection responses.

9. A peer directory system according to claim 8 wherein said user interface comprises a display processor for providing display information indicative of best matched peers and allowing information about said best matched peers to be viewed and filtered by a user searching for peers.

10. A peer directory system according to claim 1 wherein said peer relevancy algorithm assigns weights to candidate peers based on at least one of best initiative match, best vendor match, best product match, best primary operating system (OS) match, best industry match and best firm size match.

11. A peer directory system according to claim 10 wherein:

weights assigned to candidate peers are summed for each such peer, and

the candidate peers are sorted by their composite weights.

12. A peer directory system according to claim 11 wherein:

said search index stores information indicative of past connection responses for candidate peers; and

said peer relevancy algorithm provides;

(a) a negative bias to candidate peers that have poor past connection responses, and

(b) a positive bias to candidate peers that have good past connection responses.

13. A peer directory system according to claim 1 wherein:

said peer relevancy algorithm is responsive to a request entered via said user interface to select a peer match for a requester and to return peer matches to the requester via said user interface, and

said user interface enables the requester to request connection to one or more peers identified by the peer matches;

said peer directory system further comprising;

a communications processor responsive to a peer connection requested by the requester for;

(i) generating a connection request message to the applicable peer,

(ii) receiving a reply from said applicable peer,

(iii) if the applicable peer accepts the connection, sending a connection acceptance to the requester with contact information for the applicable peer, and

(iv) if the applicable peer fails to accept the connection, sending a connection rejection to said requester.

14. A peer directory system according to claim 13 wherein said peer relevancy algorithm assigns weights to candidate peers based on at least one of best initiative match, best vendor match, best product match, best primary operating system (OS) match, best industry match and best firm size match.

15. A peer directory system according to claim 14 wherein:

weights assigned to candidate peers are summed for each such peer, and

the candidate peers are sorted by their composite weights.

16. A peer directory system according to claim 15 wherein:

said search index stores information indicative of past connection responses for candidate peers; and

said peer relevancy algorithm provides;

(a) a negative bias to candidate peers that have poor past connection responses, and

(b) a positive bias to candidate peers that have good past connection responses.

17. A peer directory system according to claim 13 wherein:

said search index stores information indicative of past connection responses for candidate peers; and

said peer relevancy algorithm provides;

(a) a negative bias to candidate peers that have poor past connection responses, and

(b) a positive bias to candidate peers that have good past connection responses.

18. A peer directory system according to claim 13 wherein:

the connection request message discloses at least one of the requester'"'"'s company, industry, role or a personal message from the requester without disclosing the identity of the requester, and

contact information for the requester is disclosed to the applicable peer only if the applicable peer accepts the connection.

19. A peer directory system according to claim 1 wherein:

said user interface allows a user to filter peer matches by at least one of industry, firm size, country, job role, vendor, product/service category and for peers working within the same company.

20. A peer directory system according to claim 1, wherein said weights are configurable.

21. A peer directory system according to claim 1 wherein:

said search index stores information indicative of past connection responses for candidate peers; and

said peer relevancy algorithm provides;

(a) a negative bias to candidate peers that have poor past connection responses, and

(b) a positive bias to candidate peers that have good past connection responses.

22. A peer directory system according to claim 20 wherein said negative bias and said positive bias are configurable.

23. A method for connecting peers having common interests, comprising the steps of:

enabling user profile information to be collected;

appending tags to said user profile information;

storing tagged user profile information in a profiles database in an indexed form;

searching said profiles database to identify candidate peers in response to a request for a peer match, the identification of candidate peers being based on correlations between a requester'"'"'s user profile information and user profile information for the candidate peers;

assigning weights to the candidate peers; and

selecting peer matches based on said weights.

24. A method in accordance with claim 23 wherein:

the weights assigned to candidate peers are based on at least one of best initiative match, best vendor match, best product match, best primary operating system (OS) match, best industry match and best firm size match;

the weights assigned to candidate peers are summed for each such peer; and

the candidate peers are sorted by their composite weights.

25. A method in accordance with claim 24, comprising:

storing information indicative of past connection responses for candidate peers and providing;

(a) a negative bias to candidate peers that have poor past connection responses, and

(b) a positive bias to candidate peers that have good past connection responses.