- From: Martin Hepp <martin.hepp@ebusiness-unibw.org>
- Date: Thu, 2 Dec 2010 10:40:41 +0100
- To: public-lod@w3.org
- Cc: semantic-web@w3.org
Dear all:
Many shopping sites provide recommendations based on your past
purchases. For example, Amazon suggest books related to books or book
topics from previous purchases.
The main problem of such recommendations is that they are limited to
what you previously bought in that particular store. If you buy stuff
from multiple sites, the current site cannot take into account what
you bought from the other ones, which limits the quality of the
recommendations.
Since long, GoodRelations has provided a simple yet extremely powerful
mechanism for making information about what you previously bought or
own to multiple shopping sites.
So you can expose data about ALL products that you own to ALL shopping
sites that you want to be aware of those for recommendations. That is
exactly the cross-site product ownership info that services like e.g. http://shwowp.com
are providing, but with GoodRelations, you can do that at Web scale.
Here is a recipe of how it works in GoodRelations:
http://www.ebusiness-unibw.org/wiki/GoodRelationsOwns
Best wishes
Martin Hepp
--------------------------------------------------------
martin hepp
e-business & web science research group
universitaet der bundeswehr muenchen
e-mail: hepp@ebusiness-unibw.org
phone: +49-(0)89-6004-4217
fax: +49-(0)89-6004-4620
www: http://www.unibw.de/ebusiness/ (group)
http://www.heppnetz.de/ (personal)
skype: mfhepp
twitter: mfhepp
Check out GoodRelations for E-Commerce on the Web of Linked Data!
=================================================================
* Project Main Page: http://purl.org/goodrelations/
* Quickstart Guide for Developers: http://bit.ly/quickstart4gr
* Vocabulary Reference: http://purl.org/goodrelations/v1
* Developer's Wiki: http://www.ebusiness-unibw.org/wiki/GoodRelations
* Examples: http://bit.ly/cookbook4gr
* Presentations: http://bit.ly/grtalks
* Videos: http://bit.ly/grvideos
Received on Thursday, 2 December 2010 09:41:20 UTC