Tag Recommender Evaluation – Anyone Can Particpate

The IWIS Group at the Dept. of Computer Science, University of Aalborg, Denmark, have just opened up their evaluation of a tag recommender system they are building; the component is to be part of the wiki-based, semantic knowledge management system KiWi (itself based on IkeWiki). Anyone interested in participating, please send an Email to Fred Durão at fred@cs.aau.dk.

Hi,
We are conducting an evaluation of a tag based recommender system with personalization we have developed here at the IWIS group at Aalborg University (http://iwis.cs.aau.dk) and in the context of KIWI project (http://www.kiwi-project.eu). We would be very grateful if you could help us with this task.

The recommendater system is based on a set of algorithms we are evaluating. Later we are planning to plug it into the KIWI system and develop an appropriate user interface for it. Currently, we are evaluating it based on Delicious data (tags and content). The recommendations will be processed by our recommender system based on the tags you placed in Delicious.

As personalization is a crucial aspect to us, we will give you a generated username and password to log onto the Delicious Web site. Therefore please send an e-mail back to us that you would like to participate. You only have to tag a minimum 10 web sites of your preference. Tag as much as you can!

Afterwards we are going to email you a list of recommendations to web sites that you might be interested. These are computed by our recommender system. We will ask you to mark the recommendations by YES if the sites recommended suits your preference or NO if it does not.

The achieved results will be published to all participants after the end of the analysis.

People interested in participate of this evaluation please send an email to fred@cs.aau.dk.

Best regards,

Fred Durão and Peter Dolog

Here is link to the FAQ.