Shock: Aggregating Information While Preserving Privacy

Eytan Adar (), Rajan Lukose (), Caesar Sengupta (), Josh Tyler () and Nathaniel Good ()
Additional contact information
Eytan Adar: HP Laboratories
Rajan Lukose: HP Laboratories
Caesar Sengupta: Encentuate Pte. Ltd.
Josh Tyler: HP Laboratories
Nathaniel Good: School of Information Management and Systems, UC Berkeley

Information Systems Frontiers, 2003, vol. 5, issue 1, No 4, 15-28

Abstract: Abstract An important problem facing large, distributed organizations is the efficient management and distribution of information, knowledge, and expertise. In this paper we present the design and implementation of a low-cost, extensible, flexible, and dynamic peer-to-peer (P2P) knowledge network that helps address this problem. This system, known as Shock, is designed to protect the privacy of user's personal information, such as email, web browsing habits, etc., while making that information available for knowledge management applications. It reduces participation costs for such applications as expert-finding, allows highly targeted messaging, and enables novel kinds of ad hoc conversation and anonymous messaging. The system is tightly integrated with users' email clients, taking advantage of email as habitat.

Keywords: privacy; peer-to-peer networks; expertise location; anonymous messaging; recommendation systems; collaborative filtering; knowledge management; computer-supported cooperative work (search for similar items in EconPapers)
Date: 2003
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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DOI: 10.1023/A:1022033619551

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