MICRO-BLOG MESSAGE FILTERING

• US 20120042020A1
• Filed: 08/16/2010
• Published: 02/16/2012
• Est. Priority Date: 08/16/2010
• Status: Abandoned Application

• Current Assignee: Oath Inc. (Verizon Communications Inc.)
• Original Assignee: Yahoo! Inc. (Apollo Global Management, Inc.)
• Inventors: Zhang, Ruiqiang, Chang, Yi, Dong, Anlei, Zheng, Zhaohui, Duan, Lei, Kolari, Pranam
• Application Number:
  US12/857,000
• Publication Number:
  US 20120042020A1
• 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

Example methods, apparatuses, or articles of manufacture are disclosed that may be implemented using one or more computing devices to provide or otherwise support micro-blog message filtering.

Claims

1. A method comprising:

predicting one or more re-tweet messages based, at least in part, on applying one or more filtering features to a set of short informal messages, said filtering features comprising at least one of the following;

one or more user-level features;

one or more content-level features;

one or more social network authority-level features;

or any combination thereof.

2. The method of claim 1, wherein said predicting one or more re-tweet messages comprises applying one or more prediction functions to identify potential re-tweet messages from said set of short informal messages, wherein said set of short informal messages comprises electronic messages transmitted within one or more social networks.

3. The method of claim 1, wherein applying said one or more user-level features comprises identifying one or more user-related terms in said set of short informal messages.

4. The method of claim 1, wherein applying said one or more content-level features comprises identifying one or more indicator terms in said set of short informal messages.

5. The method of claim 1, wherein applying said one or more social network authority-level features comprises identifying one or more users as a social network authority and identifying short informal messages in said set as having been transmitted by said one or more identified users.

6. A method comprising:

electronically classifying one or more features to be applied to one or more short informal messages transmitted within one or more social networks as features capable of identifying transmitted short informal messages more likely to be forwarded.

7. The method of claim 6, wherein said one or more features are based, at least in part, on applying one or more machine-learned functions to a set of short informal training messages.

8. The method of claim 6, wherein said one or more features are also capable of ranking the identified short informal messages more likely to be forwarded.

9. The method of claim 7, wherein said applying one or more machine-learned functions to a set of short informal training messages produces one or more prediction functions.

10. An article comprising:

a storage medium having stored thereon instructions executable by a special-purpose computing system to;

predict one or more re-tweet messages based, at least in part, on applying one or more filtering features to a set of short informal messages, said filtering features comprising at least one of the following;

one or more user-level features;

one or more content-level features;

one or more social network authority-level features;

or any combination thereof.

11. The article of claim 10, wherein said instructions are further executable to:

apply one or more prediction functions to identify potential re-tweet messages from said set of short informal messages, wherein said set of short informal messages comprises electronic messages transmitted within one or more social networks.

12. The article of claim 10, wherein said instructions are further executable to:

apply said one or more user-level features to identify one or more user-related terms in said set of short informal messages.

13. The article of claim 10, wherein said instructions are further executable to:

apply said one or more content-level features to identify one or more indicator terms in said set of short informal messages.

14. The article of claim 10, wherein said instructions are further executable to:

apply said one or more social network authority-level features to identify one or more users as a social network authority and identify short informal messages in said set as having been transmitted by said one or more identified users.

16. The article of claim 10, wherein said instructions are further executable to:

rank the identified short informal messages more likely to be forwarded.

17. The article of claim 10, wherein said instructions are further executable to:

determine one or more prediction functions.

15. An article comprising:

a storage medium having stored thereon instructions executable by a special-purpose computing system to;

electronically classify one or more features to be applied to one or more short informal messages transmitted within one or more social networks as features capable of identifying transmitted short information messages more likely to be forwarded.

18. An apparatus comprising:

a special purpose computing system;

said special purpose computing system to predict one or more re-tweet messages based, at least in part, on applying one or more filtering features to a set of short informal messages, said filtering features comprising at least one of the following;

one or more user-level features;

one or more content-level features;

one or more social network authority-level features;

or any combination thereof.

19. The apparatus of claim 18, wherein said special purpose computing system to apply one or more prediction functions to identify potential re-tweet messages from said set of short informal messages, wherein said set of short informal messages comprises electronic messages transmitted within one or more social networks.

20. The apparatus of claim 18, wherein said special purpose computing system to apply said one or more user-level features to identify one or more user-related terms in said set of short informal messages.

21. The apparatus of claim 18, wherein said special purpose computing system to apply said one or more content-level features to identify one or more indicator terms in said set of short informal messages.

22. The apparatus of claim 18, wherein said special purpose computing system to apply said one or more social network authority level features to identify one or more users as a social network authority and identify short informal messages in said set as having been transmitted by said one or more identified users.