System and method for creating topic neighborhoods in a networked system

• US 8,352,549 B2
• Filed: 12/20/2007
• Issued: 01/08/2013
• Est. Priority Date: 09/28/2007
• Status: Active Grant

• Current Assignee: eBay Inc.
• Original Assignee: eBay Inc.
• Inventors: Sacco, Nathan, Melcher, Ryan
• Primary Examiner(s): Moore, Ian N
• Assistant Examiner(s): Nguyen, Thai
• Application Number:
  US11/961,017
• Publication Number:
  US 20090089372A1
• Time in Patent Office: 1,846 Days
• Field of Search: 709/229, 709/238, 709204-207, 707/104.1, 705/14.54, 705/14.55, 705/14.6, 705/14.44
• US Class Current: 709/204
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/958 Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46

Abstract

A computer-implemented system and method for creating topic neighborhoods and a visualization for related topic neighborhoods in a networked system are disclosed. The apparatus in an example embodiment includes a neighborhood generator configured to receive an explicit identification of a topic for association with a neighborhood; create a neighborhood in association with the explicitly identified topic; gather neighborhood information related to the neighborhood from sources related to the topic; and provide access to the neighborhood via a neighborhood link on a webpage.

Claims

1. A method comprising:

obtaining user behavior and interest data related to behaviors and interests of a plurality of users, the user behavior and interest data being based on user selections and searches performed on at least one website;

detecting, by use of a processor, correlations in the user behavior and interest data to implicitly determine a topic associated with the corresponding plurality of users;

creating a neighborhood in association with the implicitly determined topic, the neighborhood defining a group of users who share an interest or behavior, the neighborhood being created without explicit creator input;

gathering neighborhood information related to the neighborhood from sources related to the topic;

providing access to the neighborhood via a neighborhood link on a webpage;

inviting users to vote for a favored neighborhood; and

pruning an under-performing neighborhood.

2. The method as claimed in claim 1 wherein the neighborhood information sources include at least one item of the group:

merchandising, blogs, guides, reviews, people, and photos.

3. The method as claimed in claim 1 including inviting users to join the neighborhood.

4. The method as claimed in claim 1 including inviting users to suggest additional neighborhood content sources for the neighborhood.

5. A method comprising:

obtaining user behavior and interest data related to behaviors and interests of a plurality of users, the user behavior and interest data being based on user selections and searches performed on at least one website;

detecting, by use of a processor, correlations in the ser behavior and interest data to implicitly determine detected correlations associated with the corresponding plurality of users;

receiving from a user an identification of an explicit topic for association with a neighborhood;

creating a neighborhood in association with the implicitly detected correlations and the explicit topic, the neighborhood defining a group of users who share an interest or behavior;

gathering neighborhood information related to the neighborhood from sources related to the implicitly detected correlations and the explicit topic;

providing access to the neighborhood via a neighborhood link on a webpage;

inviting users to vote for a favored neighborhood; and

pruning an under-performing neighborhood.

6. The method as claimed in claim 5 wherein the neighborhood information sources include at least one item of the group:

merchandising, blogs, guides, reviews, people, and photos.

7. The method as claimed in claim 5 including inviting users to join the neighborhood.

8. The method as claimed in claim 5 including inviting users to suggest additional neighborhood content sources for the neighborhood.

9. An apparatus comprising:

a processor;

a memory coupled with the processor; and

a neighborhood generator, executable by the processor, the neighborhood generator being configured to;

obtain user behavior and interest data related to behaviors and interests of a plurality of users, the user behavior and interest data being based on user selections and searches performed on at least one website;

detect, by use of the processor, correlations in the user behavior and interest data to implicitly determine a topic associated with the corresponding plurality of users;

create a neighborhood in association with the implicitly determined topic, the neighborhood defining a group of users who share an interest or behavior, the neighborhood being created without explicit creator input;

gather neighborhood information related to the neighborhood from sources related to the topic;

provide access to the neighborhood via a neighborhood link on a webpage;

invite users to vote for a favored neighborhood; and

prune an under-performing neighborhood.

10. The apparatus as claimed in claim 9 wherein the neighborhood information sources include at least one item of the group:

merchandising, blogs, guides, reviews, people, and photos.

11. The apparatus as claimed in claim 9 being further configured to invite users to join the neighborhood.

12. The apparatus as claimed in claim 9 being further configured to invite users to suggest additional neighborhood content sources for the neighborhood.

13. An apparatus comprising:

a processor;

a memory coupled with the processor; and

a neighborhood generator, executable by the processor, the neighborhood generator being configured to;

obtain user behavior and interest data related to behaviors and interests of a plurality of users, the user behavior and interest data being based on user selections and searches performed on at least one website;

detect, by use of the processor, correlations in the user behavior and interest data to implicitly determine detected correlations associated with the corresponding plurality of users;

receive from a user an identification of an explicit topic for association with a neighborhood;

create a neighborhood in association with the implicitly detected correlations and the explicit topic, the neighborhood defining a group of users who share an interest or behavior;

gather neighborhood information related to the neighborhood from sources related to the implicitly detected correlations and the explicit topic;

provide access to the neighborhood via a neighborhood link on a webpage;

invite users to vote for a favored neighborhood; and

prune an under-performing neighborhood.

14. The apparatus as claimed in claim 13 wherein the neighborhood information sources include at least one item of the group:

merchandising, blogs, guides, reviews, people, and photos.

15. The apparatus as claimed in claim 13 being further configured to invite users to join the neighborhood.

16. The apparatus as claimed in claim 13 being further configured to invite users to suggest additional neighborhood content sources for the neighborhood.

17. An article of manufacture comprising a non-transitory machine-readable storage medium having machine executable instructions embedded thereon, which when executed by a machine, cause the machine to:

obtain user behavior and interest data related to behaviors and interests of a plurality of users, the user behavior and interest data being based on user selections and searches performed on at least one website;

detect, by use of the processor, correlations in the user behavior and interest data to implicitly determine a topic associated with the corresponding plurality of users;

create a neighborhood in association with the implicitly determined topic, the neighborhood defining a group of users who share an interest or behavior, the neighborhood being created without explicit creator input;

gather neighborhood information related to the neighborhood from sources related to the topic;

provide access to the neighborhood via a neighborhood link on a webpage;

invite users to vote for a favored neighborhood; and

prune an under-performing neighborhood.

18. An article of manufacture comprising a non-transitory machine-readable storage medium having machine executable instructions embedded thereon, which when executed by a machine, cause the machine to:

obtain user behavior and interest data related to behaviors and interests of a plurality of users, the user behavior and interest data being based on user selections and searches performed on at least one website;

detect, by use of the processor, correlations in the user behavior and interest data to implicitly determine detected correlations associated with the corresponding plurality of users;

receive from a user an identification of an explicit topic for association with a neighborhood;

create a neighborhood in association with the implicitly detected correlations and the explicit topic, the neighborhood defining a group of users who share an interest or behavior;

gather neighborhood information related to the neighborhood from sources related to the implicitly detected correlations and the explicit topic;

provide access to the neighborhood via a neighborhood link on a webpage;

invite users to vote for a favored neighborhood; and

prune an under-performing neighborhood.