HOT WITH MY READERS

• US 20080294760A1
• Filed: 05/22/2007
• Published: 11/27/2008
• Est. Priority Date: 05/22/2007
• Status: Abandoned Application

• Current Assignee: Oath Inc. (Verizon Communications Inc.)
• Original Assignee: Yahoo! Inc. (Apollo Global Management, Inc.)
• Inventors: Sampson, John, Marcoullier, Eric, Sampson, Todd, Ho, Steve, Rafer, Neil Scott
• Application Number:
  US11/752,113
• Publication Number:
  US 20080294760A1
• Time in Patent Office: Days
• US Class Current: 709/223
• CPC Class Codes: G06Q 10/107 Computer-aided management of electronic mailing [e-mailing]
• CPC Class Codes: H04L 12/185 with management of multicast group membership
• CPC Class Codes: H04L 12/1859 adapted to provide push services, e.g. data channels
• CPC Class Codes: H04L 41/142 using statistical or mathematical methods
• CPC Class Codes: H04L 43/00 Arrangements for monitoring or testing data switching networks
• CPC Class Codes: H04L 51/04 Real-time or near real-time messaging, e.g. instant messaging [IM]
• CPC Class Codes: H04L 67/51 Discovery or management thereof, e.g. service location protocol [SLP] or web services
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

Embodiments of the invention are directed to identifying topics that are of interest to users belonging to a selected online community, across multiple online communities visited by the users. Online communities include blogs, websites, wikis, etc. For each online community, click activity or other client behaviors are tracked and analyzed to determine statistical metrics about community activity, such as which articles, links, services, or other network resources are popular in the online community. At least some of the analysis can be performed by clients that access the online communities, by a server of each online community, and/or by a central tracking system. The results for each community may be further analyzed relative to each other. The results are filtered for the selected community and provided for the selected community. For example, a list of the most popular links for all users belonging to the authored community may be provided.

Claims

1. A method for managing content over a network comprising:

receiving an authored content from a network device associated with an administrator of the authored content;

providing a plurality of content, wherein each of the plurality of content is associated with a different community, and wherein the plurality of content comprises the authored content;

receiving a usage pattern for each of a plurality of readers, wherein the plurality of readers are members of a selected community associated with the authored content;

determining at least one link for each of the content based on an aggregation of the usage patterns for each of the plurality of readers; and

providing the at least one link over the network to another network device associated with the administrator.

2. The method of claim 1, wherein receiving the usage pattern further comprises:

receiving click data associated with the at least one link.

3. The method of claim 1, wherein determining the at least one link further comprises:

analyzing the aggregation based on a statistical metric, wherein the aggregation spans each of the plurality of content visited by the plurality of readers.

4. The method of claim 1, further comprising:

wherein the statistical metric is a standard deviation of a number of visits to the at least one link over each of the at least one link.

5. The method of claim 1, further comprising:

ranking the at least one link base on an amount of times the at least one link is visited by at least on of the plurality of readers, before providing the at least one link.

6. The method of claim 1, wherein providing the at least one link further comprises:

displaying a subset of the at least one link on a web page associated with the authored content.

7. The method of claim 1, wherein the network device and the other network device are the same network device.

8. The method of claim 1, further comprising:

receiving a portion of content from the other network device, in response to receiving the provided at least one link.

9. A computer-readable medium including computer-executable instructions for identifying network activity, the computer-executable instructions when installed onto a computing device enable the computing device to perform the operations of claim 1.

10. A server for identifying network activity, comprising:

a processor;

a communication interface in communication with the processor;

an output component in communication with the processor; and

a memory in communication with the processor and storing data and instructions that cause the processor to perform a plurality of operations, including;

associating a user identifier with a first online community and a second online community;

performing a first analysis of first community behavior information that indicates network resources identified based on clients that interacted with the first online community;

selecting a first network resource based on the first analysis;

performing a second analysis of second community behavior information that indicates network resources identified based on clients that interacted with the second online community;

selecting a second network resource based on the second analysis; and

identifying the first network resource and the second network resource on a display associated with the first online community.

11. The server of claim 10, wherein either of the first community or the second community comprise one of the following;

a blog, an online game environment, an e-commerce system, a messaging system, a website, and a wiki.

12. The server of claim 10, wherein the first community behavior information and the second community behavior information each comprise at least one of the following:

click actions indicating network resources that were accessed by clients;

temporal information determined from clients that interacted with the network resources; and

messages from clients that identify network resources.

13. The server of claim 10, wherein the instructions further cause the processor to perform the operation of receiving at least a portion of the first community behavior information or the second community behavior information from a client that tracks user interaction with the client.

14. A client for identifying network activity, comprising:

a processor;

a communication interface in communication with the processor;

an output component in communication with the processor; and

a memory in communication with the processor and storing data and instructions that cause the processor to perform a plurality of operations, including;

associating a user identifier with a first online community and a second online community;

gathering client behavior information;

providing the client behavior information for;

a first analysis of first community behavior information that indicates network resources identified based on clients that interacted with the first online community; and

a second analysis of second community behavior information that indicates network resources identified based on clients that interacted with the second online community;

receiving a first network resource identifier based on the first analysis;

receiving a second network resource identifier based on the second analysis; and

filtering the first network resource and the second network resource based on the first network resource'"'"'s and the second network resource'"'"'s association with a selected online community;

providing the filtered first network resource identifier and the filtered second network resource identifier to the output component.

15. The client of claim 14, wherein providing comprises displaying the filtered first network resource identifier and the filtered second network resource identifier in a web page.

16. A method for identifying network activity, comprising:

associating a user identifier with a first online community and a second online community;

performing a first analysis of first community behavior information that indicates network resources identified based on clients that interacted with the first online community;

selecting a first network resource based on the first analysis;

performing a second analysis of second community behavior information that indicates network resources identified based on clients that interacted with the second online community;

selecting a second network resource based on the second analysis;

filtering the first network resource and the second network resource based on the first network resource'"'"'s and the second network resource'"'"'s association with a selected online community; and

identifying the filtered first network resource and the filtered second network resource on a display associated with the selected online community.

17. The method of claim 16, wherein either of the first community or the second community comprise one of the following;

a blog, an online game environment, an e-commerce system, a messaging system, a website, and a wiki.

18. The method of claim 16, wherein each network resource comprise one of the following;

a website, a blog, an article, a network accessible product, a network accessible service, a widget, an image, and audio content.

19. The method of claim 16, wherein the first community behavior information and the second community behavior information each comprise at least one of the following:

click actions indicating network resources that were accessed by clients;

temporal information determined from clients that interacted with the network resources; and

messages from clients that identify network resources.

20. The method of claim 16, wherein each of the first community behavior information and the second community behavior information comprises one of the following:

behaviors within the corresponding first community or second community by clients that interacted with the corresponding first community or second community; and

behaviors within and outside the corresponding first community or second community by clients that interacted with the corresponding first community or second community.

21. The method of claim 16, wherein each of the first analysis and the second analysis comprises at least one of the following;

a maximum, a standard deviation, and an average.

22. The method of claim 16, further comprising:

performing a combined analysis of the first community behavior information and the second community behavior information; and

selecting a network resource based on the combined analysis.

23. The method of claim 16, further comprising receiving at least a portion of the first community behavior information or the second community behavior information from a client that tracks user interaction with the client.

24. The method of claim 16, further comprising determining an ordering of the first community relative to the second community based on the first analysis and the second analysis.