Shock: Aggregating Information While Preserving Privacy

  • Authors:
  • Eytan Adar;Rajan Lukose;Caesar Sengupta;Josh Tyler;Nathaniel Good

  • Affiliations:
  • Information Dynamics Lab, HP Laboratories, 1501 Page Mill Road, Palo Alto, CA 94304, USA. eytan.adar@hp.com;Information Dynamics Lab, HP Laboratories, 1501 Page Mill Road, Palo Alto, CA 94304, USA. rajan.lukose@hp.com;Encentuate Pte. Ltd., 151 North Buona Vista Road #02-45, Singapore 139347, Republic of Singapore. caesars@cs.stanford.edu;Information Dynamics Lab, HP Laboratories, 1501 Page Mill Road, Palo Alto, CA 94304, USA. jtyler@cs.stanford.edu;School of Information Management and Systems, UC Berkeley, 102 South Hall, Berkeley, CA 94720. ngood@sims.berkeley.edu

  • Venue:
  • Information Systems Frontiers
  • Year:
  • 2003

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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.