Identifying content in an incoming message on a social network

• US 9,467,411 B2
• Filed: 07/31/2013
• Issued: 10/11/2016
• Est. Priority Date: 07/31/2013
• Status: Expired due to Fees

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Albouyeh, Shadi E., Carter, Bernadette A., Hoy, Jeffrey R., Trunzo, Stephanie L.
• Primary Examiner(s): Duong, Oanh
• Application Number:
  US13/955,293
• Publication Number:
  US 20150039697A1
• Time in Patent Office: 1,168 Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 3/14 Digital output to display device ; Cooperation and interconnection of the display device with other functional units
• 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]

Abstract

Identifying content in an incoming message on a social network includes categorizing a sender-recipient relationship between a sender and a recipient of an incoming message in an activity stream in a display.

Claims

1. A system for identifying content in an incoming message on a social network, comprising:

a relationship categorization engine to categorize a sender-recipient relationship between a sender and a recipient of an incoming message in an activity stream in a display;

a content categorization engine to categorize a content of said incoming message;

a determination engine to determine a degree of sender attitude about the incoming message;

a combination engine to determine an impact of the incoming message on the recipient based on a combination of the sender-recipient relationship, content of the incoming message and degree of sender attitude about the incoming message; and

a generation engine to generate a recommendation for the recipient based on said incoming message and determined impact of the incoming message on the recipient;

wherein said recommendation is a recommendation as to how to the recipient can compete with the sender.

2. The system of claim 1, wherein said relationship categorization engine categorizes multiple sender-recipient relationships between said sender and said recipient.

3. The system of claim 1, further comprising a reference engine to reference a source to assist said recipient in accomplishing said recommendation.

4. The system of claim 1, further comprising a display engine to display said recommendation in said display.

5. The system of claim 1, wherein the relationship categorization engine notes a plurality of sender-recipient relationships and selects a relevant sender-recipient relationship based on the content of the incoming message, where the relevant sender-recipient relationship is then used by the combination engine in determining the impact of the incoming message on the recipient.