From: cvs@openprivacy.orgCVS update: openprivacy/htdocs/notes
Date: Thursday February 8, 19101 @ 14:44
Author: fen
CVSWEB Options: -------------------
Main CVSWeb: http://openprivacy.org/cgi-bin/cvsweb/cvsweb.cgi
View this module: http://openprivacy.org/cgi-bin/cvsweb/cvsweb.cgi/openprivacy/htdocs/notes
-----------------------------------
Update of /usr/local/cvs/public/openprivacy/htdocs/notes
In directory giga:/home/fen/projects/openprivacy/htdocs/notes
Modified Files:
whitepaper.shtml
Log Message:
some more headings
*****************************************************************
File: openprivacy/htdocs/notes/whitepaper.shtml
CVSWEB Options: -------------------
CVSWeb: Annotate this file: http://openprivacy.org/cgi-bin/cvsweb/cvsweb.cgi/openprivacy/htdocs/notes/whitepaper.shtml?annotate=1.3
CVSWeb: View this file: http://openprivacy.org/cgi-bin/cvsweb/cvsweb.cgi/openprivacy/htdocs/notes/whitepaper.shtml?rev=1.3&content-type=text/x-cvsweb-markup
CVSWeb: Diff to previous version: http://openprivacy.org/cgi-bin/cvsweb/cvsweb.cgi/openprivacy/htdocs/notes/whitepaper.shtml.diff?r1=1.3&r2=1.2
-----------------------------------
Index: openprivacy/htdocs/notes/whitepaper.shtml
diff -u openprivacy/htdocs/notes/whitepaper.shtml:1.2 openprivacy/htdocs/notes/whitepaper.shtml:1.3
--- openprivacy/htdocs/notes/whitepaper.shtml:1.2 Thu Feb 8 01:31:56 2001
+++ openprivacy/htdocs/notes/whitepaper.shtml Thu Feb 8 14:44:59 2001
@@ -1,86 +1,115 @@
<!--#include virtual="/includes/top.html"-->
<!--#include virtual="/includes/navigation.html"-->
-<!-- $Id: whitepaper.shtml,v 1.2 2001/02/08 09:31:56 fen Exp $ -->
+<!-- $Id: whitepaper.shtml,v 1.3 2001/02/08 22:44:59 fen Exp $ -->
-<h2>OpenPrivacy - Building a Better Internet</h2>
+ <h2>OpenPrivacy - Building a Better Internet</h2>
-<h3>Abstract</h3>
+ <h3>Abstract</h3>
+ <p>
-OpenPrivacy.org is building an Internet platform to take us into the next
-age - the age of personalized information. Basic to this goal is a platform
-that will provide people with complete control over their personal
-information and aid them in protecting their privacy while simultaneously
-enabling more efficient data mining and the access to specific market
-segments that advertisers crave.
-
-<p>
-
-OpenPrivacy creates a secure marketplace for anonymous demographic and
-profile information, and a distributed, attack-resistant, reputation-based
-rating system that can be used for everything from item selection and
-ordering to search result filtering. Further, this system is completely
-open, allowing multiple communication mechanisms, languages and ontological
-meanings to co-exist - we thrive in diversity.
-
-<p>
-
-To accomplish our goals, we introduce three new concepts: Opinions,
-Reputations and Bias. These are all first class, signed objects that are
-created at will under a multitude of pseudonymous entities maintained by the
-user's client. A fourth concept, that of a personal Profile, is created
-virtually from a collection of the first three objects in such a way that
-only the owner of the information can validate the connections between them,
-but others may - if granted access, can mine for potentially profitable
-correlations.
-
-<h3>Background</h3>
-
-The way that personal (profile) information is collected and used today is
-grossly inefficient not to mention a massive violation of privacy. It
-developed over the course of the last hundred years as capitalism matured
-and corporations grew more powerful. New, precise mechanisms could replace
-the current shotgun approach, but Industry is so far along the path paved by
-their marketers that they can't see the opportunity. (Remember that the
-marketers were originally beholden to Industry, but now Industry is beholden
-to the marketers.)
-
-<h3>What a Profile Is (and How Is Profile Data Used)</h3>
-
-<font color="red"><i>
-how is profile data collected? what does it comprise of? how is it used?
-what is its value?
-</i></font>
-<p>
-
-For traditional marketing mechanisms to work, profile data must be linkable
-to the people that it refers to. Such links may be one's phone number,
-postal or electronic mail address, a persistent cookie saved by a company's
-web site on one's computer, or other devices.
-
-<h3>Privacy Concerns</h3>
-
-<font color="red"><i>
-being tracked and watched. junk mail. spam. profile data being used,
-misused and sold without the principal's permission.
-</i></font>
-
-<h3>Anonymity</h3>
-
-The concept of anonymous profile data strikes fear into the hearts of
-marketers, for while they could mine the data for concordances of interest,
-they would not be able to contact the market segments so identified.
-
-<h3>Collaborative Filtering and Recommendation Systems</h3>
-
-The data mining of anonymous data can have its uses, as in simple
-collaborative filtering systems. These systems collect inputs from many
-people on a particular subject (say, what their current favorite movie is)
-and then average the results and come up with recommendations. This works
-with reasonable accuracy in a well behave populace...
+ OpenPrivacy.org is building an Internet platform to take us into the
+ next age - the age of personalized information. Basic to this goal is a
+ platform that will provide people with complete control over their
+ personal information and aid them in protecting their privacy while
+ simultaneously enabling more efficient data mining and the access to
+ specific market segments that advertisers crave.
+
+</p><p>
+
+ OpenPrivacy creates a secure marketplace for anonymous demographic and
+ profile information, and a distributed, attack-resistant,
+ reputation-based rating system that can be used for everything from item
+ selection and ordering to search result filtering. Further, this system
+ is completely open, allowing multiple communication mechanisms,
+ languages and ontological meanings to co-exist - we thrive in diversity.
+
+</p><p>
+
+ To accomplish our goals, we introduce three new concepts: Opinions,
+ Reputations and Bias. These are all first class, signed objects that
+ are created at will under a multitude of pseudonymous entities
+ maintained by the user's client. A fourth concept, that of a personal
+ Profile, is created virtually from a collection of the first three
+ objects in such a way that only the owner of the information can
+ validate the connections between them, but others may - if granted
+ access, can mine for potentially profitable correlations.
+
+ </p>
+ <h3>Background</h3>
+ <p>
+
+ The manner in which personal (profile) information is collected and used
+ today is grossly inefficient not to mention a massive violation of
+ privacy. It [current standard practice] developed over the course of
+ the last hundred years as capitalism matured and corporations grew more
+ powerful. New, precise mechanisms could replace the current shotgun
+ approach, but Industry is so far along the path paved by their marketers
+ that they can't see the opportunity. (Remember that the marketers were
+ originally beholden to Industry, but now Industry is beholden to the
+ marketers.) Their fear, reinforced by the marketers, is that ,
+
+ </p>
+ <h3>What a Profile Is (and How Is Profile Data Used)</h3>
+ <p>
+
+ <font color="red">
+ <i>
+ how is profile data collected? what does it comprise of? how is it
+ used? what is its value?
+ </i>
+ </font>
+
+ </p><p>
+
+ For traditional marketing mechanisms to work, profile data must be
+ linkable to the people that it refers to. Such links may be one's phone
+ number, postal or electronic mail address, a persistent cookie saved by
+ a company's web site on one's computer, or other devices.
+
+ </p>
+ <h3>Privacy Concerns</h3>
+ <p>
+
+ <font color="red">
+ <i>
+ being tracked and watched. junk mail. spam. profile data being used,
+ misused and sold without the principal's permission.
+ </i>
+ </font>
+
+ </p>
+ <h3>Anonymity</h3>
+ <p>
+
+ The concept of anonymous profile data strikes fear into the hearts of
+ marketers, for while they could mine the data for concordances of
+ interest, they would not be able to contact the market segments so
+ identified.
+
+ </p>
+ <h3>Collaborative Filtering and Recommendation Systems</h3>
+ <p>
+
+ The data mining of anonymous data can have its uses, as in simple
+ collaborative filtering systems. These systems collect inputs from many
+ people on a particular subject (say, what their current favorite movie
+ is) and then average the results and come up with recommendations. This
+ works with reasonable accuracy in a well behave populace...
+
+ </p>
+ <h3>Pseudonymity and Reputations</h3>
+ <p>
+
+ Pseudonymity
+
+ </p>
+ <h3>The Value of Information [Quality]</h3>
+ <p>
-<h3>Pseudonymity and Reputations</h3>
+
-Pseudonymity
+ </p>
+ <h3>An Agoric, Reputation-based Marketplace [Capitalism]</h3>
<!--#include virtual="/includes/bottom.html"-->
This archive was generated by hypermail 2b30 : Thu Feb 08 2001 - 14:45:00 PST