Buch, Englisch, Band 332, 236 Seiten
Buch, Englisch, Band 332, 236 Seiten
Reihe: Dissertations in Artificial Intelligence
ISBN: 978-1-60750-707-9
Verlag: IOS Press
In this thesis a new data mining task – the mining of all frequent tri-concepts – is presented, together with an efficient algorithm for discovering such implicit shared conceptualizations.
Collaborative tagging systems usually include tag recommendation mechanisms easing the process of finding good tags for a resource. We compare several recommendation algorithms on large-scale real-world datasets: an adaptation of user-based Collaborative Filtering, a graph-based recommender, and simpler methods based on tag co-occurences.
The social bookmark and publication sharing system BibSonomy, which is currently among the three most popular systems of its kind, has been developed by our research group. This thesis introduces BibSonomy as an exemplary collaborative tagging system and gives an overview of its architecture and some of its features.