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| Tiffany Y. Tang, Gordan McCalla, "A Multidimensional Paper Recommender: Experiments and Evaluations," IEEE Internet Computing, vol. 13, no. 4, pp. 34-41, July/August, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/MIC.2009.73, author = {Tiffany Y. Tang and Gordan McCalla}, title = {A Multidimensional Paper Recommender: Experiments and Evaluations}, journal ={IEEE Internet Computing}, volume = {13}, number = {4}, issn = {1089-7801}, year = {2009}, pages = {34-41}, doi = {http://doi.ieeecomputersociety.org/10.1109/MIC.2009.73}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - IEEE Internet Computing TI - A Multidimensional Paper Recommender: Experiments and Evaluations IS - 4 SN - 1089-7801 SP34 EP41 EPD - 34-41 A1 - Tiffany Y. Tang, A1 - Gordan McCalla, PY - 2009 KW - Paper recommender systems KW - e-learning KW - information filtering KW - Internet VL - 13 JA - IEEE Internet Computing ER - | |||
1. S.Y. Rieh,, "Judgment of Information Quality and Cognitive Authority in the Web," J. Amer. Soc. Information Science and Technology (JASIST), vol. 53, no. 2, 2002, pp. 145–161.
2. S. McNee et al., "On the Recommending of Citations for Research Papers," Proc. Computer Supported Cooperative Work (CSCW), ACM Press, pp. 116–125.
3. T.Y. Tang and G.I. McCalla, "Utilizing Artificial Learners to Help Overcome the Cold-Start Problem in a Pedagogically Oriented Paper Recommendation System," Adaptive Hypermedia and Adaptive Web-Based Systems, LNCS 3137, Springer, 2004, pp. 245–254.
4. T.Y. Tang and G.I. McCalla, "Paper Annotations with Learner Models," Proc. Int'l Conf. Artificial Intelligence in Education (AIED), IOS Press, 2005, pp. 654–661.
5. I.T. Jolliffe, Principal Component Analysis, 2nd ed., Springer, 2002.
6. S. Wold, "PLS for Multivariate Linear Modelling," QSAR: Chemometric Methods in Molecular Design, vol. 2, H. van de Waterbeemd, ed., Wiley-VCH, 1994, pp. 195–221.
7. S. McNee, J. Riedl, and J.A. Konstan, "Being Accurate Is Not Enough: How Accuracy Metrics Have Hurt Recommender Systems," Extended Abstracts Conf. Human Factors in Computing Systems (CHI), ACM Press, 2006, pp. 1097–1101.
8. T.Y. Tang, The Design and Study of Pedagogical Paper Recommendation, PhD thesis, Univ. of Saskatchewan, Dept. of Computer Science, 2008.
9. T.Y. Tang and G. McCalla, "On the Pedagogically Guided Paper Recommendation for an Evolving Web-Based Learning System," Proc. 17th Int'l Florida Artificial Intelligence Research Soc. (FLAIRS) Conf., AAAI Press, 2004, p. 19.

