System and method for deriving user expertise based on data propagating in a network environment

• US 8,886,797 B2
• Filed: 07/14/2011
• Issued: 11/11/2014
• Est. Priority Date: 07/14/2011
• Status: Active Grant

• Current Assignee: Cisco Technology, Inc. (Cisco Systems, Inc.)
• Original Assignee: Cisco Technology, Inc. (Cisco Systems, Inc.)
• Inventors: Malegaonkar, Ashutosh A., Raina, Deepali, Gannu, Satish K.
• Primary Examiner(s): RECEK, JASON D
• Application Number:
  US13/182,862
• Publication Number:
  US 20130018967A1
• Time in Patent Office: 1,216 Days
• Field of Search: 709/204, 709/206, 709217-218, 709/224
• US Class Current: 709/224
• CPC Class Codes: G06F 16/9574 of access to content, e.g. by caching
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

A method is provided in one example and includes evaluating network traffic; identifying data within the network traffic that is associated with a uniform resource locator (URL); identifying at least one condition associated with the URL; and classifying the URL as a transitional web page or as a valuable web page based on the condition.

Claims

1. A method performed at a network element in a network, comprising:

evaluating network traffic associated with a plurality of users in the network;

identifying data within the network traffic that is associated with a uniform resource locator (URL);

identifying at least one condition associated with the URL and a majority of the users;

classifying the URL as a transitional web page or as a valuable web page based on the condition;

building a personal vocabulary for each user based at least on keywords identified in the network traffic and each user'"'"'s interaction with the network traffic over a period of time; and

determining an area of expertise for at least one user and a level of expertise for the at least one user based on the classification and the personal vocabulary of the at least one user.

2. The method of claim 1, further comprising:

storing a first URL in a transitional page list;

storing a second URL in a valuable page list; and

receiving a search query associated with expertise in a subject, wherein the valuable page list is evaluated in generating a response to the search query.

3. The method of claim 2, wherein the area of expertise for the at least one user and the level of expertise for the at least one user are based on elements provided in the transitional page list and the valuable page list.

4. The method of claim 2, further comprising:

evaluating a transitional URL in the transitional page list; and

reclassifying the transitional URL such that it is provided to the valuable page list.

5. The method of claim 1, wherein the condition is associated with a time interval for which the URLs are accessed.

6. The method of claim 1, wherein the condition relates to a context in which the URL was accessed, and wherein the context is associated with an e-mail transmission.

7. The method of claim 1, further comprising:

providing a transitional URL to a blacklist after a number of times the transitional URL has been classified for inclusion in a transitional page list.

8. The method of claim 1, further comprising:

maintaining a hash table during a browsing session to determine if the condition has been satisfied for each uniform resource locator accessed during the browsing session.

9. Non-transitory media encoding logic that includes code for execution and when executed by a processor is operable to perform operations comprising:

evaluating network traffic associated with a plurality of users in a network;

identifying data within the network traffic that is associated with a URL;

identifying at least one condition associated with the URL and a majority of the users;

classifying the URL as a transitional web page or as a valuable web page based on the condition;

building a personal vocabulary for each user based at least on keywords identified in the network traffic and each user'"'"'s interaction with the network traffic over a period of time; and

determining an area of expertise for at least one user and a level of expertise for the at least one user based on the classification and the personal vocabulary of the at least one user.

10. The media of claim 9, the operations further comprising:

storing a first URL in a transitional page list;

storing a second URL in a valuable page list; and

receiving a search query associated with expertise in a subject, wherein the valuable page list is evaluated in generating a response to the search query.

11. The media of claim 10, wherein the area of expertise for the at least one user and the level of expertise for the at least one user are based on elements provided in the transitional page list and the valuable page list.

12. The media of claim 10, the operations further comprising:

evaluating a transitional URL in the transitional page list; and

reclassifying the transitional URL such that it is provided to the valuable page list.

13. The media of claim 9, wherein the condition is associated with a time interval for which the URLs are accessed.

14. The media of claim 9, wherein the condition relates to a context in which the URL was accessed, and wherein the context is associated with an e-mail transmission.

15. The media of claim 9, the operations further comprising:

providing a transitional URL to a blacklist after a number of times the transitional URL has been classified for inclusion in a transitional page list.

16. The media of claim 9, the operations further comprising:

maintaining a hash table during a browsing session to determine if the condition has been satisfied for each uniform resource locator accessed during the browsing session.

17. An apparatus, comprising:

a memory element configured to store data;

a processor operable to execute instructions associated with the data;

a collector element configured to interface with the memory element and the processor, wherein the apparatus is configured for;

evaluating network traffic associated with a plurality of users in a network;

identifying data within the network traffic that is associated with a URL;

identifying at least one condition associated with the URL and a majority of the users;

classifying the URL as a transitional web page or as a valuable web page based on the condition;

building a personal vocabulary for each user based at least on keywords identified in the network traffic and each user'"'"'s interaction with the network traffic over a period of time; and

determining an area of expertise for at least one user and a level of expertise for the at least one user based on the classification and the personal vocabulary of the at least one user.

18. The apparatus of claim 17, wherein the apparatus is further configured for:

storing a first URL in a transitional page list; and

storing a second URL in a valuable page list

wherein the area of expertise for the at least one user and the level of expertise for the at least one user are based on elements provided in the transitional page list and the valuable page list.

19. The apparatus of claim 17, wherein the condition relates to a context in which the URL was accessed, and wherein the context is associated with an e-mail transmission.

20. The apparatus of claim 17, wherein the apparatus is further configured for:

maintaining a hash table during a browsing session to determine if the condition has been satisfied for each uniform resource locator accessed during the browsing session.