Intelligent content discovery for content consumers

• US 8,612,419 B2
• Filed: 01/31/2011
• Issued: 12/17/2013
• Est. Priority Date: 01/31/2011
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Lakshmanan, Geetika T., Oberhofer, Martin
• Primary Examiner(s): LEROUX, ETIENNE PIERRE
• Application Number:
  US13/018,045
• Publication Number:
  US 20120197861A1
• Time in Patent Office: 1,051 Days
• Field of Search: 707/3, 707/201, 707/709, 709/223
• US Class Current: 707/709
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation

Abstract

Embodiments of the present invention provide a method, system and computer program product for intelligent content discovery for content consumers in the global Internet. In an embodiment of the invention, a method for intelligent content discovery for content consumers includes parsing a list of previously viewed content in a content browser executing in memory of a computer to identify different content sources for the previously viewed content. The method also includes directing crawling of the content sources over a computer communications network to retrieve updated content from the content sources. The method yet further includes filtering the updated content into a subset of updated content according to at least one parameter corresponding to one of an end user profile of an end user and an end user preference of the end user. Finally, the method includes presenting a list of the subset of updated content in the content browser.

Claims

1. A method for intelligent content discovery for content consumers comprising:

parsing a list of previously viewed content in a content browser executing in memory of a computer to identify different content sources for the previously viewed content;

directing crawling of the content sources over a computer communications network to retrieve updated content from the content sources; and

,

presenting the updated content in the content browser.

2. The method of claim 1, wherein parsing a list of previously viewed content, comprises:

loading a graph of previously visited Web pages, the graph comprising different nodes arranged in sequence according to a sequence in which the Web pages had been visited; and

,

determining at each node an identity of a content source for a Web page represented by the node.

3. The method of claim 1, further comprising:

filtering the updated content into a subset of updated content according to at least one parameter corresponding to one of an end user profile of an end user and an end user preference of the end user; and

,

presenting a list of the subset of the updated content in the content browser.

4. The method of claim 3, wherein filtering the updated content into a subset of updated content according to at least one parameter corresponding to one of an end user profile and an end user preference, comprises matching at least one term in the updated content to at least one term corresponding to the at least one parameter.

5. The method of claim 4, wherein filtering the updated content into a subset of updated content according to at least one parameter corresponding to one of an end user profile and an end user preference, further comprises favoring updated content for inclusion in the subset responsive to determining a higher ranking applied to the at least one term corresponding to the at least one parameter than a ranking applied to other terms.

6. The method of claim 1, further comprising determining the parameter by extracting data for the end user through an application programming interface (API) to a social networking system.

7. A content discovery data processing system configured for intelligent content discovery for content consumers, the system comprising:

a host computer with at least one processor and memory;

a content browser executing in the memory of the host computer; and

,

a content discovery module executing in the memory of the host computer, the module comprising program code enabled to parse a list of previously viewed content in the content to identify different content sources for the previously viewed content, to direct crawling of the content sources over a computer communications network to retrieve updated content from the content sources, and to present a list of the updated content in the content browser.

8. The system of claim 7, wherein the list of previously viewed content is stored in a graph of previously visited Web pages, the graph comprising different nodes arranged in sequence according to a sequence in which the Web pages had been visited.

9. The system of claim 7, wherein the updated content is filtered by the module into a subset of updated content according to at least one parameter corresponding to one of an end user profile of an end user and an end user preference of the end user, and wherein the subset of the updated content is presented by the module in the content browser.

10. A computer program product for intelligent content discovery for content consumers, the computer program product comprising:

a computer readable storage medium having computer readable program code embodied therewith, the computer readable program code comprising;

computer readable program code for parsing a list of previously viewed content in a content browser executing in memory of a computer to identify different content sources for the previously viewed content;

computer readable program code for directing crawling of the content sources over a computer communications network to retrieve updated content from the content sources; and

,

computer readable program code for presenting a list of the updated content in the content browser.

11. The computer program product of claim 10, wherein the computer readable program code for parsing a list of previously viewed content, comprises:

computer readable program code for loading a graph of previously visited Web pages, the graph comprising different nodes arranged in sequence according to a sequence in which the Web pages had been visited; and

,

computer readable program code for determining at each node an identity of a content source for a Web page represented by the node.

12. The computer program product of claim 10, further comprising:

computer readable program code for filtering the updated content into a subset of updated content according to at least one parameter corresponding to one of an end user profile of an end user and an end user preference of the end user; and

,

computer readable program code for presenting a list of the subset of the updated content in the content browser.

13. The computer program product of claim 12, wherein the computer readable program code for filtering the updated content into a subset of updated content according to at least one parameter corresponding to one of an end user profile and an end user preference, comprises computer readable program code for matching at least one term in the updated content to at least one term corresponding to the at least one parameter.

14. The computer program product of claim 13, wherein the computer readable program code for filtering the updated content into a subset of updated content according to at least one parameter corresponding to one of an end user profile and an end user preference, further comprises computer readable program code for favoring updated content for inclusion in the subset responsive to determining a higher ranking applied to the at least one term corresponding to the at least one parameter than a ranking applied to other terms.

15. The computer program product of claim 10, further comprising computer readable program code for determining the parameter by extracting data for the end user through an application programming interface (API) to a social networking system.