Automatic recommender systems for education providers
Type Research Project
Duration Jan. 1, 2001 - Dec. 31, 2003
Tags
Press 'enter' for creating the tag- Hahsler, Michael (Former researcher) Project Head
Abstract (German)
Es wird die Rolle von Vorschlagssystemen für Bildung und Forschung im Rahmen einer Virtuellen Universität untersucht. Insbesondere werden Techniken zum automatischen Tutoring für Massenuniversitäten untersucht.
Abstract (English)
We investigate the role of recommender systems and their potential in the educational and scientific environment of a Virtual University.
The key idea is to use the information aggregation capabilities of a recommender system to improve the tutoring and consulting services of a Virtual University in an automated way and thus scale tutoring and consulting in a personalized way to a mass audience.
Partners
- Universität Karlsruhe (TH), Lehrstuhl für Informationsdienste und elektronische Märkte - Germany http://www.em.uka.de/
Publications
Journal article
2002 | Gaul, Wolfgang, Geyer-Schulz, Andreas, Hahsler, Michael, Schmidt-Thieme, Lars. 2002. eMarketing mittels Recommendersystemen. Marketing ZFP, 24, 47-55 | (Details) | |
2001 | Geyer-Schulz, Andreas, Hahsler, Michael, Jahn, Maximillian. 2001. Educational and scientific recommender systems: Designing the information channels of the virtual university. International Journal of Engineering Education, 17, 2, 153-163 | (Details) |
Chapter in edited volume
2003 | Geyer-Schulz, Andreas, Hahsler, Michael. 2003. Comparing two recommender algorithms with the help of recommendations by peers. In O.R. Zaiane, J. Srivastava, M. Spiliopoulou, and B. Masand, editors, WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles 4th International Workshop, Edmonton, Canada, July 2002, Revised Papers, LNAI 2703 | (Details) | |
2002 | Geyer-Schulz, Andreas, Hahsler, Michael, Jahn, Maximillian. 2002. A customer purchase incidence model applied to recommender systems. In: Kohavi, R., Masand, B. M., Spiliopoulou, M., Srivastava, J. (eds.): WEBKDD 2001 - Mining Log Data Across All Customer Touch Points, Third International Workshop, San Francisco, CA, USA, August 26, 2001, Revised Papers, LNCS/LNAI 2356 | (Details) |
Contribution to conference proceedings
2005 | Hahsler, Michael. 2005. ePubWU - Erfahrungen mit einer Volltext an der Wirtschaftsuniversität Wien. In Bibliotheken - Fundament der Bildung, 28. Österreichischer Bibliothekartag 2004, Hrsg. Christian Enichlmayr, 190-193. Linz: | (Details) | |
2003 | Geyer-Schulz, Andreas, Hahsler, Michael, Thede, Anke. 2003. Comparing association-rules and repeat-buying based recommender systems in a b2b environment. In: Schader, M., Gaul, W., Vichi, M. (eds.): Between Data Science and Applied Data Analysis, Studies in Classification, Data Analysis, and Knowledge Organization, Springer | (Details) | |
2002 | Böhm, W., Geyer-Schulz, A., Hahsler, M., Jahn, M.. 2002. Repeat buying theory and its application for recommender services. In: Exploratory Data Analysis in Empirical Research. Proceedings of the 25th Annual Conference of the GfKl, University of Munich, March 14-16, 2001, Hrsg. Opitz, O., Schwaiger, M., 229-239. Springer-Verlag | (Details) |
Classification
- 1109 Information and data processing (Details)
Expertise
- Virtual University
- Virtual University
- Recommender Systems
- Data Mining
- Artificial Intelligence