Messaging enhancements and anti-spam
In some embodiments, techniques for electronic messaging may include various enhancements.
1. A method for classifying a message, comprising:
presenting a message;
monitoring an action, wherein the action is associated with viewing the message, and wherein monitoring the action includes determining an amount of time that the message is viewed; and
determining a classification for the message, wherein determining the classification includes evaluating the action.
2. The method of claim 1 , wherein the message is associated with an email.
3. The method of claim 1 , wherein the classification is associated with spam.
4. The method of claim 1 , wherein presenting the message includes delaying display of message contents for a delay period, and wherein monitoring the action includes determining whether the message is deleted during the delay period.
5. The method of claim 1 , wherein monitoring the action includes determining whether substantially all of the message is displayed.
6. The method of claim 1 , wherein the action includes deleting the message.
7. The method of claim 1 , wherein the action includes scrolling the message.
8. The method of claim 1 , wherein determining a classification for the message includes providing information to a spam filter, wherein the information is associated with the action.
9. A method for classifying a first message, comprising:
determining a sender, wherein the sender is associated with a second message, wherein the second message is in an inbox;
analyzing content of the second message;
updating a history, wherein the history is associated with the sender;
receiving the first message, wherein the first message is associated with the sender;
determining that the sender is associated with the second message;
retrieving information relating to a number of non-spam messages received from the sender from the history; and
determining a classification for the first message, wherein determining the classification includes evaluating the information relating to the number of non-spam messages received from the sender.
10. The method of claim 9 , wherein the first message is associated with an email.
11. The method of claim 9 , wherein the history includes information associated with a third message, wherein the third message is associated with the sender.
12. The method of claim 11 , wherein evaluating the information relating to the number of non-spam messages received from the sender includes evaluating the information associated with the third message.
13. The method of claim 9 , wherein the history includes a number of messages associated with the sender.
14. The method of claim 9 , wherein the history includes a number of spam messages associated with the sender.
15. The method of claim 9 , wherein the history includes a number of non-spam messages associated with the sender.
16. The method of claim 9 , wherein the classification is associated with spam.
17. The method of claim 9 , further comprising adding the sender to a whitelist.
18. The method of claim 9 , wherein the history includes information relating to a viewing pattern for messages from the sender.
19. The method of claim 9 , wherein the history includes information relating to an average spam likelihood score associated with messages from the sender.
20. A system for classifying a message, comprising:
a processor configured to:
present a message;
monitor an action, wherein the action is associated with viewing the message, and wherein monitoring the action includes determining an amount of time that the message is viewed; and
determine a classification for the message, wherein determining the classification includes evaluating the action; and
a memory coupled with the processor, wherein the memory provides instructions to the processor.
21. The system of claim 20 , wherein the message is associated with an email.
22. The system of claim 20 , wherein the classification is associated with spam.
23. The system of claim 20 , wherein presenting the message includes delaying display of message contents for a delay period, and wherein monitoring the action includes determining whether the message is deleted during the delay period.
24. The system of claim 20 , wherein monitoring the action includes determining whether substantially all of the message is displayed.
25. The system of claim 20 , wherein the action includes deleting the message.
26. The system of claim 20 , wherein the action includes scrolling the message.
27. The system of claim 20 , wherein determining a classification for the message includes providing information to a spam filter, wherein the information is associated with the action.
28. A computer program product for classifying a message, the computer program product being embodied in a computer readable storage medium and comprising computer instructions for:
presenting a message;
monitoring an action, wherein the action is associated with viewing the message, and wherein monitoring the action includes determining an amount of time that the message is viewed; and
determining a classification for the message, wherein determining the classification includes evaluating the action.
29. The computer program product of claim 28 , wherein the message is associated with an email.
30. The computer program product of claim 28 , wherein the classification is associated with spam.
31. The computer program product of claim 28 , wherein presenting the message includes delaying display of message contents for a delay period, and wherein monitoring the action includes determining whether the message is deleted during the delay period.
32. The computer program product of claim 28 , wherein monitoring the action includes determining whether substantially all of the message is displayed.
33. The computer program product of claim 28 , wherein the action includes deleting the message.
34. The computer program product of claim 28 , wherein the action includes scrolling the message.
35. The computer program product of claim 28 , wherein determining a classification for the message includes providing information to a spam filter, wherein the information is associated with the action.
36. A system for classifying a first message, comprising:
a processor configured to:
determine a sender, wherein the sender is associated with a second message, wherein the second message is in an inbox;
analyze content of the second message;
update a history, wherein the history is associated with the sender;
receive the first message, wherein the first message is associated with the sender;
determine that the sender is associated with the second message;
retrieve information relating to a number of non-spam messages received from the sender from the history; and
determine a classification for the first message, wherein determining the classification includes evaluating the information relating to the number of non-spam messages received from the sender; and
a memory coupled with the processor, wherein the memory provides instructions to the processor.
37. The system of claim 36 , wherein the first message is associated with an email.
38. The system of claim 36 , wherein the history includes information associated with a third message, wherein the third message is associated with the sender.
39. The system of claim 38 , wherein evaluating the information relating to the number of non-spam messages received from the sender includes evaluating the information associated with the third message.
40. The system of claim 36 , wherein the history includes a number of messages associated with the sender.
41. The system of claim 36 , wherein the history includes a number of spam messages associated with the sender.
42. The system of claim 36 , wherein the history includes a number of non-spam messages associated with the sender.
43. The system of claim 36 , wherein the classification is associated with spam.
44. The system of claim 36 , wherein the processor is further configured to add the sender to a whitelist.
45. The system of claim 36 , wherein the history includes information relating to a viewing pattern for messages from the sender.
46. The system of claim 36 , wherein the history includes information relating to an average spam likelihood score associated with messages from the sender.
47. A computer program product for classifying a first message, the computer program product being embodied in a computer readable storage medium and comprising computer instructions for:
determining a sender, wherein the sender is associated with a second message, wherein the second message is in an inbox;
analyzing content of the second message;
updating a history, wherein the history is associated with the sender;
receiving the first message, wherein the first message is associated with the sender;
determining that the sender is associated with the second message;
retrieving information relating to a number of non-spam messages received from the sender from the history; and
determining a classification for the first message, wherein determining the classification includes evaluating the information relating to the number of non-spam messages received from the sender.
48. The computer program product of claim 47 , wherein the first message is associated with an email.
49. The computer program product of claim 47 , wherein the history includes information associated with a third message, wherein the third message is associated with the sender.
50. The computer program product of claim 49 , wherein evaluating the information relating to the number of non-spam messages received from the sender includes evaluating the information associated with the third message.
51. The computer program product of claim 47 , wherein the history includes a number of messages associated with the sender.
52. The computer program product of claim 47 , wherein the history includes a number of spam messages associated with the sender.
53. The computer program product of claim 47 , wherein the history includes a number of non-spam messages associated with the sender.
54. The computer program product of claim 47 , wherein the classification is associated with spam.
55. The computer program product of claim 47 , further comprising adding the sender to a whitelist.
56. The computer program product of claim 47 , wherein the history includes information relating to a viewing pattern for messages from the sender.
57. The computer program product of claim 47 , wherein the history includes information relating to an average spam likelihood score associated with messages from the sender.