ELECTRONIC MAIL MESSAGE HANDLING AND PRESENTATION METHODS AND SYSTEMS

• US 20090150497A1
• Filed: 12/06/2007
• Published: 06/11/2009
• Est. Priority Date: 12/06/2007
• Status: Abandoned Application

• Current Assignee: Oath Inc. (Verizon Communications Inc.)
• Original Assignee: Oath Inc. (Verizon Communications Inc.)
• Inventors: Ravikumar, Shanmugasundaram, Tomkins, Andrew, McAfee, Randolph Preston
• Application Number:
  US11/951,727
• Publication Number:
  US 20090150497A1
• Time in Patent Office: Days
• US Class Current: 709/206
• CPC Class Codes: G06Q 10/107 Computer-aided management of electronic mailing [e-mailing]

Abstract

Methods and apparatuses are provided for use with electronic mail messages. In one exemplary method, electronic mail messages may be presented in an order based, at least in part, on a presentation scores associated with each message. The presentation score may be based, at least in part, on presentation knowledge information associated with an attribute profile. The attribute profile may, for example, be established and maintained based, at least in part, on non-selective user engagement parameters that may be determined based on a presentation of the electronic mail messages and/or identifiers associated therewith.

Claims

1. A method comprising:

for each of a plurality of electronic mail messages identified as sharing at least one common attribute, establishing a presentation score based, at least in part, on presentation knowledge information associated with an attribute profile;

initiating presentation of at least a plurality of identifiers associated with at least a portion of said plurality of electronic mail messages in an order based, at least in part, on said presentation scores of said portion of said plurality of electronic mail messages;

determining at least one non-selective user engagement parameter with regard to at least one of said presented identifiers; and

modifying said attribute profile based, at least in part, on said non-selective user engagement parameter.

3. The method as recited in claim 1, further comprising classifying said plurality of electronic mail messages as spam messages.

4. The method as recited in claim 1, wherein for each of said plurality of electronic mail messages, establishing said presentation score comprises establishing said presentation score based, at least in part, on an attribute score associated with said electronic mail message.

5. The method as recited in claim 4, further comprising:

receiving at least one user selective input with regard to at least one other of said presented identifiers; and

modifying said attribute profile based, at least in part, on said user selective input.

6. The method as recited in claim 1, wherein said at least one non-selective user engagement parameter is comprises at least one non-selective user engagement parameter selected from a group of non-selective user engagement parameter comprising a non-selective pointer position engagement parameter, a non-selective pointer time engagement parameter, a non-selective induced-action engagement parameter, an engagement presentation time parameter, an engagement presentation scroll parameter, and a non-selective engagement search parameter.

7. The method as recited in claim 1, further comprising:

initiating presentation of at least said plurality of identifiers in a different order based, at least in part, on at least one modified presentation score resulting from modifying said attribute profile.

8. The method as recited in claim 1, wherein establishing said presentation score based, at least in part, on said presentation knowledge information comprises comparing information in at least a portion of said electronic mail message with said presentation knowledge information and based, at least in part, thereon establishing said presentation score.

9. The method as recited in claim 1, wherein said presentation knowledge information comprises at least one type of information selected from a group of different types of information comprising source information, author information, recipient information, routing information, title information, subject information, time information, size information, related file information, flag information, data object information, format information, content information, and metadata information.

10. The method as recited in claim 1, wherein for each of said plurality of electronic mail messages, establishing said presentation score comprises establishing said presentation score based, at least in part, on received attribute information regarding said electronic mail message.

11. The method as recited in claim 1, further comprising:

providing at least a portion of said attribute profile to a network.

2. The method as recited in claim 2, wherein said common attribute classifies said plurality of electronic mail messages as spam messages.

12. A system comprising:

at least one computing platform adapted to;

access a plurality of electronic mail messages and for each of said plurality of electronic mail messages identified as sharing at least one common attribute, establish a presentation score based, at least in part, on presentation knowledge information associated with an attribute profile,

initiate presentation of at least a plurality of identifiers associated with at least a portion of said plurality of electronic mail messages in an order based, at least in part, on said presentation scores of said portion of said plurality of electronic mail messages,

determine at least one non-selective user engagement parameter with regard to at least one of said presented identifiers, and

modify said attribute profile based, at least in part, on said non-selective user engagement parameter.

13. The system as recited in claim 12, wherein said common attribute classifies said plurality of electronic mail messages as spam messages.

14. The system as recited in claim 12, wherein for each of said plurality of electronic mail messages, said at least one computing platform is adapted to establish said presentation score based, at least in part, on an attribute score associated with said electronic mail message.

15. The system as recited in claim 12, wherein said at least one non-selective user engagement parameter is comprises at least one non-selective user engagement parameter selected from a group of non-selective user engagement parameter comprising a non-selective pointer position engagement parameter, a non-selective pointer time engagement parameter, a non-selective induced-action engagement parameter, an engagement presentation time parameter, an engagement presentation scroll parameter, and a non-selective engagement search parameter.

16. The system as recited in claim 12, wherein said at least one computing platform is further adapted to compare information in at least a portion of said electronic mail message with said presentation knowledge information and based, at least in part, thereon establish said presentation score.

17. The system as recited in claim 12, and wherein said presentation knowledge information comprises at least one type of information selected from a group of different types of information comprising source information, author information, recipient information, routing information, title information, subject information, time information, size information, related file information, flag information, data object information, format information, content information, and metadata information.

18. The system as recited in claim 12, further comprising:

at least one other computing platform operatively coupled to said at least one computing platform, and

wherein for each of said plurality of electronic mail messages, said at least one computing platform is adapted to establish said presentation score based, at least in part, on received attribute information from said at least one other computing platform regarding said electronic mail message.

19. A computer program product, comprising computer-readable medium comprising instructions for causing at least one processing unit to:

access a plurality of electronic mail messages and for each of said plurality of electronic mail messages identified as sharing at least one common attribute, establish a presentation score based, at least in part, on presentation knowledge information associated with an attribute profile,

initiate presentation of at least a plurality of identifiers associated with at least a portion of said plurality of electronic mail messages in an order based, at least in part, on said presentation scores of said portion of said plurality of electronic mail messages,

determine at least one non-selective user engagement parameter with regard to at least one of said presented identifiers, and

modify said attribute profile based, at least in part, on said non-selective user engagement parameter.

20. The computer program product as recited in claim 19, wherein said common attribute classifies said plurality of electronic mail messages as spam messages.

21. The computer program product as recited in claim 19, wherein for each of said plurality of electronic mail messages, said computer-readable medium comprising instructions for causing said at least one processing unit to establish said presentation score based, at least in part, on an attribute score associated with said electronic mail message.

22. The computer program product as recited in claim 19, said computer-readable medium comprising instructions for causing said at least one processing unit to compare information in at least a portion of said electronic mail message with said presentation knowledge information and based, at least in part, thereon establish said presentation score.

23. The computer program product as recited in claim 19, wherein for each of said plurality of electronic mail messages, said computer-readable medium comprising instructions for causing said at least one processing unit to establish said presentation score based, at least in part, on received attribute information regarding said electronic mail message.

24. An apparatus comprising:

means for establishing a presentation score, for each of a plurality of electronic mail messages identified as sharing at least one common attribute, based, at least in part, on presentation knowledge information associated with an attribute profile;

means for presenting of at least a plurality of identifiers associated with at least a portion of said plurality of electronic mail messages in an order based, at least in part, on said presentation scores of said portion of said plurality of electronic mail messages;

means for determining at least one non-selective user engagement parameter with regard to at least one of said presented identifiers; and

means for modifying said attribute profile based, at least in part, on said non-selective user engagement parameter.

25. The apparatus as recited in claim 24, wherein said common attribute classifies said plurality of electronic mail messages as spam messages.