INTELLIGENT MESSAGING

• US 20160255034A1
• Filed: 11/11/2015
• Published: 09/01/2016
• Est. Priority Date: 02/27/2015
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Linkedln Corporation
• Inventors: Yuan, Lawrence
• Granted Patent: US 10,505,885 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: H04L 51/212 using filtering or selective blocking
• CPC Class Codes: H04L 51/42 Mailbox-related aspects, e.g. synchronisation of mailboxes
• CPC Class Codes: H04L 51/52 for supporting social networking services
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/53 using third party service providers

Abstract

Techniques for improved categorization, processing, and display of electronic messages such as email are described. According to various embodiments, it is determined that a recipient corresponding to a member of an online social networking service has received an electronic message from a sender. Member profile data of the sender and the recipient is then accessed. Thereafter, a professional importance score associated with the message is calculated, based on the accessed member profile data of the sender and the recipient. The message is then classified into one of a plurality of professional importance categories, based on the determined professional importance score, and the message is marked in a message inbox user interface associated with the recipient, based on the classification.

Claims

1. A method comprising:

determining that a recipient corresponding to a member of an online social networking service has received an electronic message from a sender;

accessing member profile data of the sender and the recipient;

calculating, based on the accessed member profile data of the sender and the recipient, a professional importance score associated with the message;

classifying the message into one of a plurality of professional importance categories, based on the determined professional importance score; and

marking the message in a message inbox user interface associated with the recipient, based on the classification.

2. The method of claim 1, wherein the calculating further comprises:

determining degree of similarity between the sender and the recipient, based on member profile data of the message sender and the message recipient; and

generating the professional importance score associated with the message, based on the determined degree of similarity

3. The method of claim 1, wherein the calculating further comprises:

determining a connection strength between the sender and the recipient associated on the online social networking service; and

generating the professional importance score associated with the message, based on the determined connection strength.

4. The method of claim 1, wherein the calculating further comprises:

determining an interaction score indicating a degree of interaction via the online social networking service between the sender and recipient; and

generating the professional importance score associated with the message, based on the interaction score.

5. The method of claim 1, wherein the calculating further comprises:

determining a decision maker score associated with the sender; and

generating the professional importance score associated with the message, based on the decision maker score

6. The method of claim 1, wherein the calculating further comprises:

determining that the sender has recently started a job at a particular company, based on member profile data of the sender;

determining that the recipient has viewed or submitted an application for an online job posting associated with the particular company via the online social networking service; and

increasing the professional importance score associated with the message.

7. The method of claim 1, wherein the calculating further comprises:

determining that the recipient has posted an online job posting via the online social networking service;

determining that the message is one of a plurality of responses to the online job positing;

calculating a candidate fit score associated with the sender; and

generating the professional importance score associated with the message, based on the candidate fit score.

8. A system comprising:

a processor; and

a memory device holding an instruction set executable on the processor to cause the system to perform operations comprising;

determining that a recipient corresponding to a member of an online social networking service has received an electronic message from a sender;

accessing member profile data of the sender and the recipient;

calculating, based on the accessed member profile data of the sender and the recipient, a professional importance score associated with the message;

classifying the message into one of a plurality of professional importance categories, based on the determined professional importance score; and

marking the message in a message inbox user interface associated with the recipient, based on the classification.

9. The system of claim 8, wherein the calculating further comprises:

determining degree of similarity between the sender and the recipient, based on member profile data of the message sender and the message recipient; and

generating the professional importance score associated with the message, based on the determined degree of similarity

10. The system of claim 8, wherein the calculating further comprises:

determining a connection strength between the sender and the recipient associated on the online social networking service; and

generating the professional importance score associated with the message, based on the determined connection strength.

11. The system of claim 8, wherein the calculating further comprises:

determining an interaction score indicating a degree of interaction via the online social networking service between the sender and recipient; and

generating the professional importance score associated with the message, based on the interaction score.

12. The system of claim 8, wherein the calculating further comprises:

determining a decision maker score associated with the sender; and

generating the professional importance score associated with the message, based on the decision maker score

13. The system of claim 8, wherein the calculating further comprises:

determining that the sender has recently started a job at a particular company, based on member profile data of the sender;

determining that the recipient has viewed or submitted an application for an online job posting associated with the particular company via the online social networking service; and

increasing the professional importance score associated with the message.

14. The system of claim 8, wherein the calculating further comprises:

determining that the recipient has posted an online job posting via the online social networking service;

determining that the message is one of a plurality of responses to the online job positing;

calculating a candidate fit score associated with the sender; and

generating the professional importance score associated with the message, based on the candidate fit score.

15. A non-transitory machine-readable storage medium comprising instructions that, when executed by one or more processors of a machine, cause the machine to perform operations comprising:

determining that a recipient corresponding to a member of an online social networking service has received an electronic message from a sender;

accessing member profile data of the sender and the recipient;

calculating, based on the accessed member profile data of the sender and the recipient, a professional importance score associated with the message;

classifying the message into one of a plurality of professional importance categories, based on the determined professional importance score; and

marking the message in a message inbox user interface associated with the recipient, based on the classification

16. The storage medium of claim 15, wherein the calculating further comprises:

determining a connection strength between the sender and the recipient associated on the online social networking service; and

generating the professional importance score associated with the message, based on the determined connection strength.

17. The storage medium of claim 15, wherein the calculating further comprises:

determining an interaction score indicating a degree of interaction via the online social networking service between the sender and recipient; and

generating the professional importance score associated with the message, based on the interaction score.

18. The storage medium of claim 15, wherein the calculating further comprises:

determining a decision maker score associated with the sender; and

generating the professional importance score associated with the message, based on the decision maker score

19. The storage medium of claim 15, wherein the calculating further comprises:

determining that the sender has recently started a job at a particular company, based on member profile data of the sender;

determining that the recipient has viewed or submitted an application for an online job posting associated with the particular company via the online social networking service; and

increasing the professional importance score associated with the message.

20. The storage medium of claim 15, wherein the calculating further comprises:

determining that the recipient has posted an online job posting via the online social networking service;

determining that the message is one of a plurality of responses to the online job positing;

calculating a candidate fit score associated with the sender; and

generating the professional importance score associated with the message, based on the candidate fit score.