Author of the publication

Automatic Bookmark Classification - A Collaborative Approach

, , and . Proceedings of the 2nd Workshop in Innovations in Web Infrastructure (IWI2) at WWW2006, Edinburgh, Scotland, (May 2006)isbn = 085432853X.

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Usage-driven Evolution of Personal Ontologies, , , and . Proceedings of the 3rd International Conference on Universal A ccess in Human-Computer Interaction (UAHCI), Las Vegas, Nevada USA, (22-27 July 2005)Social Tagging Recommender Systems, , , , , and . Francesco Ricci, Lior Rokach, Bracha Shapira, Paul B. Kantor (Eds.), Recommender Systems Handbook, 615--644, Springer, New York, 2011, (2011)Assoziationsregel-Algorithmen für Daten mit komplexer Struktur. (2007)Automatic Bookmark Classification - A Collaborative Approach, , and . Proceedings of the 2nd Workshop in Innovations in Web Infrastructure (IWI2) at WWW2006, Edinburgh, Scotland, (May 2006)isbn = 085432853X.Learning Optimal Ranking with Tensor Factorization for Tag Recommendation, , , and . (2009)Collaborative Tag Recommendations, and . Proceedings of the 31st Annual Conference of the German Classification Society, page 533--540. Springer, (March 2008)Suppporting Collaborative Hierarchical Classification: Bookmarks as an Example, , and . Special Issue of the Computer Networks journal on Innovations in Web Communications Infrastructure, 51 (16): 4574--4585 (2007)Tag Recommendations in Social Bookmarking Systems, , , , and . AI Communications, (2008)Hybrid Matrix Factorization Update for Progress Modeling in Intelligent Tutoring Systems., and . CSEDU (Selected Papers), volume 739 of Communications in Computer and Information Science, page 49-70. Springer, (2016)Multi-script Handwritten Digit Recognition Using Multi-task Learning., , , and . CoRR, (2021)