ELECTRONIC MESSAGING SYSTEM UTILIZING SOCIAL CLASSIFICATION RULES

• US 20140059141A1
• Filed: 08/23/2012
• Published: 02/27/2014
• Est. Priority Date: 08/23/2012
• Status: Abandoned Application

• Current Assignee: LinkedIn Corporation (Microsoft Corporation)
• Original Assignee: Linkedln Corporation
• Inventors: Belkin, Ruslan, Wang, John
• Application Number:
  US13/593,409
• Publication Number:
  US 20140059141A1
• Time in Patent Office: Days
• US Class Current: 709/206
• CPC Class Codes: H04L 51/212 using filtering or selective blocking
• CPC Class Codes: H04L 51/224 providing notification on incoming messages, e.g. pushed notifications of received messages
• CPC Class Codes: H04L 51/52 for supporting social networking services

Abstract

Techniques for identifying and organizing electronic messages are described. With some embodiments, a method receives a user interaction update from a messaging client associated with a first user. The user interaction update has data indicating that the first user interacted with an electronic message. The method may then determine that the first user is associated with a classification attribute that defines a relationship in a social network. Using the user interaction update, the a social classification rule corresponding to the classification attribute associated with the first user is then updated. The social classification rule may include data usable to organize a plurality of electronic messages. Finally, the method may optionally send the updated social classification rule to a messaging client associated with a second user, where the updated social classification rule can be used to organize electronic messages displayed by the messaging client associated with the second user.

Claims

1. A computer-implemented method comprising:

receiving a user interaction update from a messaging client associated with a first user, the user interaction update having data indicating that the first user interacted with an electronic message;

determining that the first user is associated with a classification attribute, the classification attribute defining a relationship in a social network;

using the user interaction update, updating a social classification rule corresponding to the classification attribute, the social classification rule including data usable to organize a plurality of electronic messages; and

sending the updated social classification rule to a messaging client associated with a second user, the updated social classification rule being usable to organize electronic messages displayed by the messaging client associated with the second user.

3. The computer-implemented method of claim 1, wherein the user interaction update includes at least one of member profile data, electronic message data, or interaction data.

4. The computer-implemented method of claim 1, wherein the user interaction update indicates a weighting factor for a message feature, which, when applied during a calculation to determine a relevancy score of a message, affects the relevancy score of the message.

5. The computer-implemented method of claim 4, wherein the message feature is a value of a from-field, a value of a to-field, a value of a carbon copy-field, a keyword, or some combination thereof.

6. The computer-implemented method of claim 1, wherein the message feature is an electronic message identifier, and the operation of updating the social classification rule includes incrementing a count associated with an electronic message associated with the electronic message identifier.

7. The computer-implemented method of claim 1, wherein the user interaction update indicates that the first user responded to an electronic message within a particular time period.

2. A computer-implemented method, wherein the classification attribute is at least one of:

a job title, a department, a number of years of experience, a name, a skill, a group, an age, a gender, an interest, contact information, location information, a family member, education information, employment information, or a professional organization.

8. A non-transitory computer-readable medium storing executable instructions thereon, which, when executed by a processor, cause the processor to perform operations including:

receiving a user interaction update from a messaging client associated with a first user, the user interaction updates having data indicating that the first user interacted with an electronic message;

determining that the first user is associated with a classification attribute, the classification attribute defining a relationship in a social network;

using the user interaction update, updating a social classification rule corresponding to the classification attribute, the social classification rule including data usable to organize a plurality of electronic messages; and

sending the updated social classification rule to a messaging client associated with a second user, the updated social classification rule being usable to organize electronic messages displayed by the messaging client associated with the second user.

9. The non-transitory computer-readable medium of claim 8, wherein the classification attribute is at least one of:

a job title, a department, a number of years of experience, a name, a skill, a group, an age, a gender, an interest, contact information, location information, a family member, education information, employment information, or a professional organization.

10. The non-transitory computer-readable medium of claim 8, wherein the user interaction update includes at least one of member profile data, electronic message data, or interaction data.

11. The non-transitory computer-readable medium of claim 8, wherein the user interaction update indicates a weighting factor for a message feature, which, when applied during a calculation to determine a relevancy score of a message, affects the relevancy score of the message.

12. The non-transitory computer-readable medium of claim 11, wherein the message feature is a value of a from-field, a value of a to-field, a value of a carbon copy-field, a keyword, or some combination thereof.

13. The non-transitory computer-readable medium of claim 8, wherein the message feature is an electronic message identifier, and the operation of updating the social classification rule includes incrementing a count associated with an electronic message associated with the electronic message identifier.

14. The non-transitory computer-readable medium of claim 8, wherein the user interaction update indicates that the first user responded to an electronic message within a particular time period.

15. A computer system comprising:

at least one processor;

a rule builder module implemented by the at least one processor and configured to;

receive a user interaction update from a messaging client associated with a first user, the user interaction updates having data indicating that the first user interacted with an electronic message,

determine that the first user is associated with a classification attribute, the classification attribute defining a relationship in a social network, and

update, using the user interaction update, a social classification rule corresponding to the classification attribute, the social classification rule including data usable to organize a plurality of electronic messages; and

a rule builder module implemented by the at least one processor and configured to send the updated social classification rule to a messaging client associated with a second user, the updated social classification rule being usable to organize electronic messages displayed by the messaging client associated with the second user.

16. The computer system of claim 15, wherein the classification attribute is at least one of:

a job title, a department, a number of years of experience, a name, a skill, a group, an age, a gender, an interest, contact information, location information, a family member, education information, employment information, or a professional organization.

17. The computer system of claim 15, wherein the user interaction update includes at least one of member profile data, electronic message data, or interaction data.

18. The computer system of claim 15, wherein the user interaction update indicates a weighting factor for a message feature, which, when applied during a calculation to determine a relevancy score of a message, affects the relevancy score of the message.

19. The computer system of claim 18, wherein the message feature is a value of a from-field, a value of a to-field, a value of a carbon copy-field, a keyword, or some combination thereof.

20. The computer system of claim 15, wherein the message feature is an electronic message identifier, and the operation of updating the social classification rule includes incrementing a count associated with an electronic message associated with the electronic message identifier.