A recommender system for on-line course enrolment: An initial study

O'Mahony, M. P. and Smyth, B. (2007) A recommender system for on-line course enrolment: An initial study. [Conference Proceedings]

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Abstract

In this paper we report on our work to date concerning the development of a course recommender system for University College Dublin's on-line enrolment application. We outline the factors that influence student choices and propose solutions to address some of the key considerations that are identified. We empirically evaluate our approach using historical student enrolment data and show that promising performance is achieved with our initial design. Copyright 2007 ACM.

Item Type: Conference Proceedings
Additional Information: 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
Uncontrolled Keywords: Academic advising; Collaborative filtering; Content-based filtering; Course recommender system; Computer supported cooperative work; Online systems; Students; Engineering education
Depositing User: National Forum
Date Deposited: 06 Dec 2015 07:59
Last Modified: 10 Dec 2015 19:02
URI: http://eprints.teachingandlearning.ie/id/eprint/3471

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