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In our previous work [9, 10], we highlighted the importance of incorporating learners' pedagogical features in making paper recommendations and proposed the pedagogical-oriented paper recommender. In this paper, we report our studies in designing and evaluating a six-dimensional paper recommender. Experimental results from a human subject study of learner preferences suggest that in the e-learning domain where there are not enough papers as well as learners to start up the recommender system (RS), it is imperative to inject other factors such as the overall popularity of each paper, learner knowledge background, etc., although these factors are less important for making recommendations on movies, books, CDs.
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