- 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