System for facilitating discovery and management of feeds

• US 8,589,418 B1
• Filed: 07/18/2011
• Issued: 11/19/2013
• Est. Priority Date: 12/28/2007
• Status: Expired due to Fees

• Current Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Original Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Inventors: Kane, Francis J.
• Primary Examiner(s): OBISESAN, AUGUSTINE KUNLE
• Application Number:
  US13/185,264
• Time in Patent Office: 855 Days
• Field of Search: None
• US Class Current: 707/749
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: H04L 51/02 using automatic reactions or user delegation, e.g. automatic replies or chatbot-generated messages
• CPC Class Codes: H04L 51/52 for supporting social networking services

Abstract

A web feed portal can enable users to discover new web feeds and manage existing subscriptions of feeds. Recommended feeds can be generated for a user that reflect the user'"'"'s interests or that are popular within a user community. Users can subscribe to feeds by selecting recommended web feeds or by contributing web feeds to the web feed portal. The user'"'"'s web feed subscriptions can also be ranked to display the feeds in order of update time and/or time viewed by the user.

Claims

1. A system for providing personalized web feed recommendations to users, the system comprising:

a user data store comprising first user interest data associated with a first user and second user interest data associated with a second user;

a web feed data store comprising web feed content;

a recommendations system comprising computer hardware, the recommendations system configured to generate first personalized web feed recommendations for the first user based at least in part on the first user interest data, the first personalized web feed recommendations comprising at least a portion of the web feed content stored in the web feed data store; and

a page generator configured to output a first web feed user interface comprising the first personalized web feed recommendations for presentation to the first user, the first web feed user interface comprising functionality for the first user to submit new web feed content to the web feed data store, wherein the new web feed content was not previously contained in the web feed data store;

wherein the recommendations system is further configured to generate second personalized web feed recommendations for the second user including the new web feed content submitted by the first user based at least in part on the second user interest data and a behavioral association detected between the user-submitted new web feed content and at least one subscribed-to web feed of the second user, and to identify users who have subscribed to the user-submitted new web feed content;

wherein the page generator is further configured to output a second web feed user interface for presentation to the second user, the second web feed user interface comprising the second personalized web feed recommendations and a list of a subset of the users who have subscribed to the new web feed content, thereby enabling the second user to subscribe to the new web feed content;

wherein the subset of the users who have subscribed to the user-submitted new web feed content includes users indicated by the second user interest data as friends of the second user; and

wherein the behavioral association detected between the user-submitted new web feed content and the at least one subscribed-to web feed of the second user indicates that at least one user subscribed to both the user-submitted new web feed content and the at least one subscribed-to web feed of the second user.

2. The system of claim 1, wherein the first web feed user interface comprises functionality for the first user to subscribe to selected web feed content of the personalized web feed recommendations by selecting the selected web feed content.

3. The system of claim 1, wherein the first web feed user interface further comprises web feed content to which the first user is subscribed, wherein the subscribed web feed content is ranked, at least in part, on the following information:

duration since the web feed content was last updated.

4. The system of claim 1, wherein the recommendations system is configured to generate the first personalized web feed recommendations based, at least in part, on data regarding web feed content popularity.

5. The system of claim 1, wherein the first personalized web feed recommendations are, at least in part, randomly selected for recommendation to the first user.

6. The system of claim 1, wherein the new web feed content submitted by the first user is submitted to the web feed data store only after determining that the new web feed content is not already contained in the web feed data store.

7. A computer-implemented method of recommending feeds to users, the method comprising:

by a computer system comprising one or more processors;

providing a user data store comprising first user interest data associated with a first user and second user interest data associated with a second user;

providing a web feed data store comprising web feed content;

generating first personalized web feed recommendations for the first user based at least in part on the first user interest data, the first personalized web feed recommendations comprising at least a portion of the web feed content stored in the web feed data store;

generating a first web feed user interface comprising the first personalized web feed recommendations for presentation to the first user, the first web feed user interface comprising functionality for the first user to submit new web feed content to the web feed data store, wherein the new web feed content was not previously contained in the web feed data store;

detecting a behavioral association between the user-submitted new web feed content and at least one subscribed-to web feed of the second user, wherein the behavioral association indicates that at least one user subscribed to both the user-submitted new web feed content and the at least one subscribed-to web feed of the second user;

generating second personal web feed recommendations for the second user including the new web feed content submitted by the first user based at least in part on the second user interest data and the detected behavioral association;

identifying users who have subscribed to the user-submitted new web feed content; and

generating a second web feed user interface for presentation to the second user, the second web feed user interface comprising the second personalized web feed recommendations and a list of a subset of the users who have subscribed to the new web feed content, thereby enabling the second user to subscribe to the new web feed content;

wherein the subset of the users who have subscribed to the user-submitted new web feed content includes users indicated by the second user interest data as friends of the second user.

8. The method of claim 7, wherein the first web feed user interface comprises functionality for the first user to subscribe to selected web feed content of the first personalized web feed recommendations by selecting the selected web feed content.

9. The method of claim 7, wherein generating the first web feed user interface comprises ranking web feed content to which the first user is subscribed based at least in part on the following information about the subscribed-to web feed content:

duration since the web feed content was last updated.

10. The method of claim 7, wherein the first personalized web feed recommendations are generated based at least in part on data regarding web feed content popularity.

11. The method of claim 7, wherein the first personalized web feed recommendations are, at least in part, randomly selected for recommendation to the first user.

12. The method of claim 7, wherein the new web feed content submitted by the first user is submitted to the web feed data store only after determining that the new web feed content is not already contained in the web feed data store.

13. Non-transitory physical computer storage comprising instructions stored thereon for implementing, in one or more processors, a method of recommending feeds to users, the method comprising:

providing a user data store comprising first user interest data associated with a first user and second user interest data associated with a second user;

providing a web feed data store comprising web feed content;

generating first personalized web feed recommendations for the first user based at least in part on the first user interest data, the first personalized web feed recommendations comprising at least a portion of the web feed content stored in the feed data store;

generating a first web feed user interface comprising the first personalized web feed recommendations for presentation to the first user, the web feed user interface comprising functionality for the first user to submit new web feed content to the web feed data store, wherein the new web feed content was not previously contained in the web feed data store;

detecting a behavioral association between the new web feed content and at least one subscribed-to web feed of the second user, wherein the behavioral association indicates that at least one user subscribed to both the user-submitted new web feed content and the at least one subscribed-to web feed of the second user;

generating second personal web feed recommendations for the second user including the new web feed content submitted by the first user based at least in part on the second user interest data and the detected behavioral association;

identifying users who have subscribed to the user-submitted new web feed content; and

generating a second web feed user interface for presentation to the second user, the second web feed user interface comprising the second personalized web feed recommendations and a list of a subset of the users who have subscribed to the new web feed content, thereby enabling the second user to subscribe to the new web feed content;

wherein the subset of the users who have subscribed to the new web feed content includes users indicated by the second user interest data as friends of the second user.

14. The non-transitory physical computer storage of claim 13, wherein the first web feed user interface comprises functionality for the first user to subscribe to selected web feed content of the first personalized web feed recommendations by selecting the selected web feed content.

15. The non-transitory physical computer storage of claim 13, wherein generating the first web feed user interface comprises ranking web feed content to which the first user is subscribed based at least in part on the following information about the subscribed-to web feed content:

duration since the subscribed-to web feed content was last updated.

16. The non-transitory physical computer storage of claim 13, wherein the first personalized web feed recommendations are generated based at least in part on data regarding web feed content popularity.

17. The non-transitory physical computer storage of claim 13, wherein the first personalized web feed recommendations are, at least in part, randomly selected for recommendation to the first user.

18. The non-transitory physical computer storage of claim 13, wherein the new web feed content submitted by the first user is submitted to the web feed data store only after determining that the new web feed content is not already contained in the web feed data store.