A Multidimensional Paper Recommender: Experiments and Evaluations

@article{Tang2009AMP,
  title={A Multidimensional Paper Recommender: Experiments and Evaluations},
  author={Tiffany Ya Tang and Gordon I. McCalla},
  journal={IEEE Internet Computing},
  year={2009},
  volume={13}
}
Paper recommender systems in the e-learning domain must consider pedagogical factors, such as a paper's overall popularity and learner background knowledge - factors that are less important in commercial book or movie recommender systems. This article reports evaluations of a 6D paper recommender. Experimental results from a human subject study of learner preferences suggest that pedagogical factors help to overcome a serious cold-start problem (not having enough papers or learners to start the… CONTINUE READING
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