Master Thesis in Intelligent Web and Information Systems

Collaborative tagging systems pose new challenges to the developers of recommender systems. As observed by recent research, traditional implementations of classic recommender approaches, such as collaborative filtering, are not working well in this new context. To address these challenges, a number of research groups worldwide work on adapting these approaches to the specific nature of collaborative tagging systems.

The use of clustering techniques enhances the user experience and thus the success of collaborative tagging services. We show that clustering techniques can improve the user experience of current tagging services. We first describe current limitations of tagging services, second, we give an overview of existing approaches. We then describe the algorithms we used for tag clustering and give experimental results and a variety of conclusions.

IWIS seminar starts its spring 2010 series with a talk of Karunakar Reddy on retrieval of medical events from social media.