Conference code: 71768; Cited By :10; Export Date: 23 February 2015; Correspondence Address: O'Mahony, M. P.; School of Computer Science and Informatics, University College Dublin, Belfield, Dublin 4, Ireland; email: michael.p.omahony@ucd.ie; References: Bendakir, N., Aimeur, E., Using association rules for course recommendation (2006) In Proceedings of the AAAI Workshop on Educational Data Mining, pp. 31-40. , July 16-17; Burke, R., Hybrid recommender systems: Survey and experiments (2002) User Modeling and User-Adapted Interaction, 12 (4), pp. 331-370. , November; R. Farzan and P. Brusilovsky. Social navigation support in a course recommender system. In Proceedings of the 4th International Conference on Adaptive Hypermedia and Apadtive Web-based Systems, pages 91-100, June 21-23 2006G. Karypis. Evaluation of item-based top-N recommendation algorithms. In Proceedings of the Tenth ACM International Conference on Information and Knowledge Management (CIKM'01), pages 247-254, November 5-10 2001Lin, W., Alvarez, S., Ruiz, C., Efficient adaptive-support association rule mining for recommender systems (2002) In Data Mining and Knowledge Discovery, 6, pp. 83-105; Linden, G., Smith, B., York, J., Amazon.com recommendations: Item-to-item collaborative filtering (2003) In IEEE Internet Computing, 7 (1), pp. 76-80; B. Miller, I. Albert, S. Lam, J. Konstan, and J. Riedl. Movielens unplugged: Experiences with a recommender system on four mobile devices. In Proceedings of the 17th Annual Human-Computer Interaction Conference, September 8-12 2003Porter, M.F., An algorithm for suffix stripping (1980) Program, 14 (3), pp. 130-137; Robertson, S.E., Spark-Jones, K., Simple, proven approaches to text retrieval (1997), Technical Report TR356, Cambridge University Computer LaboratorySandvig, J., Burke, R., Aacorn: A CBR recommender for academic advising (2005), Technical Report TR05-015, DePaul UniversityA4 - ACM Special Interest Group on Computer-Human Interaction, SIGCHI
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