Student courses recommendation using ant colony optimization

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Abstract

In the paper we present recommendation of student courses using Ant Colony Optimization (ACO). ACO is proved to be effective in solving many optimization problems, here we show that ACO also in the problem of prediction of final grades students receives on completing university courses is able to deliver good solutions. To apply ACO in any recommender system we need special problem representation in form of a graph, where each node represents a decision in the problem domain. © 2010 Springer-Verlag Berlin Heidelberg.

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APA

Sobecki, J., & Tomczak, J. M. (2010). Student courses recommendation using ant colony optimization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5991 LNAI, pp. 124–133). https://doi.org/10.1007/978-3-642-12101-2_14

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