METHOD AND APPARATUS FOR PROCESSING MESSAGES IN A SOCIAL NETWORK

• US 20170339077A1
• Filed: 04/03/2017
• Published: 11/23/2017
• Est. Priority Date: 02/14/2006
• Status: Abandoned Application

• Current Assignee: Calabrio
• Original Assignee: SRI International, Inc.
• Inventors: Davitz, Jeffrey, Basu, Sugato, Yu, Jiye, Gutelius, David
• Application Number:
  US15/477,786
• Publication Number:
  US 20170339077A1
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/13 File access structures, e.g. distributed indices arrangements of input from, or output to, record carriers G06F3/06
• CPC Class Codes: G06F 16/2471 Distributed queries
• CPC Class Codes: G06F 16/90335 Query processing
• CPC Class Codes: H04L 51/04 Real-time or near real-time messaging, e.g. instant messaging [IM]
• CPC Class Codes: H04L 51/52 for supporting social networking services
• CPC Class Codes: H04L 67/104 Peer-to-peer [P2P] networks
• CPC Class Codes: H04L 67/1072 Discovery involving ranked list compilation of candidate peers
• CPC Class Codes: H04L 67/303 Terminal profiles

Abstract

In one embodiment, the present invention is a method and apparatus for knowledge generation and deployment in a distributed network. In one embodiment, a method for processing messages in a social network includes receiving a new message from a first node in the network, the new message including a query, providing the first node with an answer to the query, if the answer is located in a repository, and initiating generation of the answer, if the answer is not located in the repository.

Claims

1. A method for routing messages to nodes of a computerized social network, the method performed by a computing device, the method comprising:

computing an expertise measure for a node by comparing a local topic model of the node to a global topic set of the network, wherein the local topic model is derived from local content related to the node, and the global topic set is inferred from local topic models of a plurality of nodes of the network;

creating a profile for the node, the profile comprising a set of parameters including the expertise measure; and

determining to route a message to the node based on the profile.