Jäschke, R.; Eisterlehner, F.; Hotho, A. & Stumme, G.: Testing and Evaluating Tag Recommenders in a Live System. In: Benz, D. & Janssen, F. (Hrsg.): Workshop on Knowledge Discovery, Data Mining, and Machine Learning. 2009, S. 44 -51
[Volltext]
The challenge to provide tag recommendations for collaborative tagging systems has attracted quite some attention of researchers lately. However, most research focused on evaluation and
velopment of appropriate methods rather than tackling the practical challenges of how to integrate recommendation methods into real tagging systems, record and evaluate their performance.
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,
en for a variety of methods, and usable independent from BibSonomy. Furthermore, this paper presents an evaluation of two exemplarily deployed recommendation methods, demonstrating
e power of the framework.

Web Mining: From Web to Semantic Web, First European Web
Mining Forum, EMWF 2003, Cavtat-Dubrovnik, Croatia, September
22, 2003, Revised Selected and Invited Papers. LNAI Heidelberg, 2004
[Volltext]

Berendt, B.; Hotho, A.; Mladenic, D.; van Someren, M.; Spiliopoulou, M. & Stumme, G.: A Roadmap for Web Mining: From Web to Semantic Web.. In: Berendt, B.; Hotho, A.; Mladenic, D.; van Someren, M.; Spiliopoulou, M. & Stumme, G. (Hrsg.): Web Mining: From Web to Semantic Web. Heidelberg: Springer, 2004 (3209), S. 1-22
[Volltext]
The purpose of Web mining is to develop methods and systems for discovering models of objects and processes on the World Wide Web and for web-based systems that show adaptive performance. Web Mining integrates three parent areas: Data Mining (we use this term here also for the closely related areas of Machine Learning and Knowledge Discovery), Internet technology and World Wide Web, and for the more recent Semantic Web. The World Wide Web has made an enormous amount of information electronically accessible. The use of email, news and markup languages like HTML allow users to publish and read documents at a world-wide scale and to communicate via chat connections, including information in the form of images and voice records. The HTTP protocol that enables access to documents over the network via Web browsers created an immense improvement in communication and access to information. For some years these possibilities were used mostly in the scientific world but recent years have seen an immense growth in popularity, supported by the wide availability of computers and broadband communication. The use of the internet for other tasks than finding information and direct communication is increasing, as can be seen from the interest in ldquoe-activitiesrdquo such as e-commerce, e-learning, e-government, e-science.

Semantic Web Mining. Proc. of the Semantic Web Mining Workshop of the 13th Europ. Conf. on
Machine Learning (ECML'02) / 6th Europ. Conf. on Principles and
Practice of Knowledge Discovery in Databases (PKDD'02). Helsinki, Finland, 2002
[Volltext]

Proc. of the European Web Mining Forum 2005. , 2005
[Volltext]

Semantic Web Mining. Workshop Proceedings.. Freiburg, 2001
[Volltext]

Benz, D.; Krause, B.; Kumar, G. P.; Hotho, A. & Stumme, G.: Characterizing Semantic Relatedness of Search Query Terms. Proceedings of the 1st Workshop on Explorative Analytics of Information Networks (EIN2009). Bled, Slovenia: 2009