Conference proceedings article
Testing and Evaluating Tag Recommenders in a Live System



Publication Details
Authors:
Jäschke, R.; Eisterlehner, F.; Stumme, G.; Hotho, A.
Editor:
Janssen, Frederik; Benz, Dominik;
Publisher:
Fachgruppe KDML
Place:
Darmstadt
Publication year:
2009
Pages range:
44-51
Book title:
Workshop on Knowledge Discovery, Data Mining, and Machine Learning

Abstract
The challenge to provide tag recommendations for collaborative tagging systems has attracted quite some attention of researchers lately. However, most research focused on evaluation anddevelopment of appropriate methods rather than tackling the practical challenges of how to integrate recommendation methods into real tagging systems, record and evaluate their performance.In this paper we describe the tag recommendation framework we developed for our social bookmark and publication sharing system BibSonomy. With the intention to develop, test, and evaluate recommendation algorithms and supporting cooperation with researchers, we designed the framework to be easily extensible,open for a variety of methods, and usable independent from BibSonomy. Furthermore, this paper presents an evaluation of two exemplarily deployed recommendation methods, demonstratingthe power of the framework.


Keywords
bibsonomy, folksonomy, framework, recommender, tagging

Last updated on 2019-25-07 at 10:44