Ranking content items related to an event

• US 20090049041A1
• Filed: 06/28/2008
• Published: 02/19/2009
• Est. Priority Date: 06/29/2007
• Status: Active Grant

• Current Assignee: Pulsepoint Incorporated (Pulsepoint Holdings LLC)
• Original Assignee: Allvoices, Inc. (Pulsepoint Holdings LLC)
• Inventors: Birnbaum, Lawrence A., Hammond, Kristian J., Sood, Sanjay C., Tareen, Amra Q., Sundelof, Erik
• Granted Patent: US 8,548,996 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/903 Querying for retrieval from the web G06F16/953

Abstract

Ranking content items is disclosed. A user input is received from each of one or more users indicating an opinion of the user with respect to a content item included in a plurality of content items. Based at least in part on a number of users from whom user input has been received, a degree is determined to which a ranking of the content item relative to one or more other content items in the plurality of content items is determined by user input.

Claims

1. A method of ranking content items, comprising:

receiving from each of one or more users a user input indicating an opinion of the user with respect to a content item included in a plurality of content items; and

determining based at least in part on a number of users from whom user input has been received a degree to which a ranking of the content item relative to one or more other content items in the plurality of content items is determined by user input.

2. A method as in claim 1, wherein the content item is associated with an event.

3. A method as in claim 1, wherein the user input is weighted by a user reputation.

4. A method as in claim 1, wherein the ranking of the content item relative to one or more other content items is based at least in part on one or more other factors in addition to user input

5. A method as in claim 1, wherein determining the degree is determining a weight.

6. A method as in claim 1, wherein the ranking is based at least in part on a rating score.

7. A method as in claim 1, where the content item relates to or more of the following:

an event, a location, an image, a video, a blog entry, or a face image.

8. A system for ranking content items, comprising:

a processor configured to;

receive from each of one or more users a user input indicating an opinion of the user with respect to a content item included in a plurality of content items; and

determine based at least in part on a number of users from whom user input has been received a degree to which a ranking of the content item relative to one or more other content items in the plurality of content items is determined by user input; and

a memory coupled to the processor and configured to provide the processor with instructions.

9. A computer program product for ranking content items, the computer program product being embodied in a computer readable storage medium and comprising computer instructions for:

receiving from each of one or more users a user input indicating an opinion of the user with respect to a content item included in a plurality of content items; and

determining based at least in part on a number of users from whom user input has been received a degree to which a ranking of the content item relative to one or more other content items in the plurality of content items is determined by user input.

10. A method of ranking content items, comprising:

determining a relevance of a content item to an event;

receiving a user rating of the content item; and

determining a ranking of the content item with respect to the event, relative to one or more other content items associated with the event, based at least in part on the relevance and the user rating.

11. A method as in claim 10, wherein determining the ranking is based at least in part on a sentiment score associated with the content item.

12. A method as in claim 10, wherein the user rating is weighted by a weighting factor determined at least in part by a user reputation associated with a user from which the user rating was received.

13. A method as in claim 10, wherein the ranking is determined based at least in part on an emotional score in addition to the relevance and the user rating

14. A method as in claim 10, wherein the content item is associated with an event.

15. A method as in claim 10, wherein the user rating is weighted by a user reputation.

16. A system for ranking content items, comprising:

a processor configured to;

determine a relevance of a content item to an event;

receive a user rating of the content item; and

determine a ranking of the content item with respect to the event, relative to one or more other content items associated with the event, based at least in part on the relevance and the user rating; and

a memory coupled to the processor and configured to provide the processor with instructions.

17. A computer program product for ranking content items, the computer program product being embodied in a computer readable storage medium and comprising computer instructions for:

determining a relevance of a content item to an event;

receiving a user rating of the content item; and

determining a ranking of the content item with respect to the event, relative to one or more other content items associated with the event, based at least in part on the relevance and the user rating.