The pedagogical value of papers: A collaborative-filtering based paper recommender

Journal of Digital Information

Volumn 10, Issue 2, 2009, Pages

  Tang, Tiffany Y ^a   Mccalla, Gordon ^b  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b UNIVERSITY OF SASKATCHEWAN   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 67649562813     PISSN: None     EISSN: 13687506     Source Type: Journal    
DOI: None     Document Type: Article

References (29)

1. Adomavicius, G., Sankaranarayanan, R., Sen, S. and Tuzhilin, A. (2005). "Incorporating contextual information in recommender systems using a multidimensional approach". ACM TOIS, 23 (1) : 103-145. January 2005.
2. Adomavicius, G. and Young Ok Kwon. (2007). "New Recommendation Techniques for Multi-criteria Rating Systems". IEEE Intelligent Systems, Volume 22, Issue 3 May-June 2007, pp. 48-55.
3. Barry, C. (1994). "User-defined relevance criteria: an exploratory study". Journal of the American Society for Information Science (JASIS), pp. 149-159. April 1994.
4. Basu, C., Hirsh, H. and Cohen, W. W. (1998). "Recommendation as classification: using social and contentbased information in recommendation". AAAI'98 (Madison, Wisconsin, USA: Morgan Kauffman), pp. 714-720.
5. Bollacker, K., Lawrence, S. and C. Lee Giles, C. L. (1999) "A system for automatic personalized tracking of scientific literature on the web". ACM/IEEE JCDL'1999 (Berkeley, CA, USA, pp. 105-113.
6. Browne, M. W. and Cudeck, R. Alternative ways of assessing model fit. In K. A. Bollen and J. S. Long (Eds.) Testing Structural Equation Models. Sage: Newbury Park, CA. 1993.
7. Brusilovsky, P., Farzan, R. and Ahn, J. (2005). "Comprehensive personalized information access in an educational digital library". ACM/IEEE JCDL'2005 (Denver, CA, USA: ACM Press). pp. 9-18.
8. Herlocker, J., Konstan, J., Borchers, A., and Riedl, J. (1999). "An algorithmic framework for performing collaborative filtering." In Proc. of the 22nd annual International ACM SIGIR Conference on Research and Development in Information Retrieval SIGIR'99 (Berkeley, CA, USA: ACM Press), pp. 230-237.
9. Herlocker, J., Konstan, J, Terveen, L. And Riedl, J. (2004). "Evaluating collaborative filtering recommender systems". ACM TOIS. 22 (1) :5-53, January 2004.
10. Kelloway, E. K. (1998) Using LISREL for Structural Equation Modeling: A Researcher's Guide, Sage. 1998.
11. Konstan, J., Miller, B. N., Maltz, D., Herlocker, J., Gordon, L. R. and Riedl, J. (1997) "GroupLens: applying collaborative filtering to Usenet news". CACM, 40 (3) : 77-87, March 1997.
12. Lekakos, G. and Giaglis, G. (2006) "Improving the prediction accuracy of recommendation algorithms: approaches anchored on human factors". Interacting with Computers, 18 (3) : 410-431, 2006.
13. Lemire, D., Boley, H., McGrath, S. and Ball, M. (2005) "Collaborative filtering and inference rules for context-aware learning object recommendation". International Journal of Interactive Technology and Smart Education, 2 (3), 2005. http://www.daniel-lemire.com/fr/documents/ publications/itse2005.pdf
14. Manouselis, N, Vuorikarim, R and Van Assche, F. (2007). "Simulated analysis of MAUT collaborative filtering for learning object recommendation". SIRTEL Workshop, EC-TEL 2007. http://infolab-dev. aua.gr/sirtel2007/papers/Manouselis-et-al.pdf
15. Manouselis, N. and Costopoulou, C. (2007). "Experimental analysis of design choices in multi-attribute utility collaborative filtering." International Journal of Pattern Recognition and Artificial Intelligence, 21 (2), pp. 311-331, April 2007. http://infolab-dev. aua.gr/files/publications/ en/1169683003.pdf
16. McNee, S, Albert, I., Cosley, D., Gopalkrishnan, P., Lam, S., Rashid, A., Konstan, J. and Riedl, J. (2002). "On the recommending of citations for research papers." ACM CSCW'02 (Orleans, Louisiana, USA: ACM Press), pp. 116-125.
17. McNee, S., Riedl, J. and J. A. Konstan. (2006). "Being accurate is not enough: how accuracy metrics have hurt recommender systems." In the Extended Abstracts of the 2006 ACM Conference on Human Factors in Computing Systems 'CHI 2006 (Montreal, Canada: ACM Press), pp. 1097-1101.
18. Pazzani, M. (1999). "A Framework for collaborative, content-based, and demographic filtering." AI Rev., pp. 393-408, Dec.1999.
19. Recker, M., Walker, A. and Lawless K. (2003). "What do you recommend? Implementation and analyses of collaborative information filtering of web resources for education. " Instructional Science 31:299-316, 2003.
20. Rieh, S. Y. (2002). "Judgment of information quality and cognitive authority in the web." Journal of the American Society for Information Science and Technology. 53 (2) :145-161. January 2002.
21. Tang, T. Y., and McCalla, G. I. (2004). "Utilizing artificial learners to help overcome the cold-start problem in a pedagogically-oriented paper recommendation system". AH 2004 (Eindhoven, The Netherlands: Springer) pp. 245-254.
22. Tang, T. Y., and McCalla, G. I. (2005). "Paper annotations with learner models." AIED 2005: pp. 654-661.
23. Tang, T. Y., and McCalla, G. I. (2007). "The social affordance of a paper". In Workshop of Assessment of Group and Individual Learning Through. Intelligent Visualization (AGILEeViz), 13th International Conference on Artificial Intelligence in Education (AIED 2007) . Marina Del Rey, CA, USA, 34-42. http://aied.inf.ed.ac.uk/AIED2007/AgileVizWorkshopAIED2007.pdf
24. Tang, T. Y. (2008). "The Design and Study of Pedagogical Paper Recommendation. " PhD Thesis. Department of Computer Science, University of Saskatchewan, Canada. April 2008. http://library2.usask.ca/theses/available/ etd-03262008-002314/
25. Terveen, L. and McDonald, D. (2005). "Social matching: a framework and research agenda." ACM TOCHI, 12 (3) :401-434. September 2005.
26. Torres, R., McNee, S. M., Abel, M., Konstan, J. A. and Riedl, J. (2004). "Enhancing digital libraries with TechLens." ACM/IEEE JCDL'2004 (Tuscon, AZ, USA: ACM Press), pp. 228-236.
27. Winoto, P and Tang, T. Y. (2008) "If you like the Devil Wears Prada the book, will you also enjoy the Devil Wears Prada the movie? A study of cross-domain recommendations". Special Issue of Web-based Recommendation Systems Technologies and Applications, New Generation Computing (Ed. Janusz Sobecki), Vol. 26 No. 3 2008.
28. Woodruff, A., Gossweiler, R., Pitkow, J., Chi, E. and Card, S. (2000). "Enhancing a digital book with a reading recommender". CHI'00 (The Hague, The Netherlands: ACM Press), pp. 153-160.
29. Wold, S. (1995). "PLS for multivariate linear modelling". In van de Waterbeemd H. (ed.), QSAR: Chemometric Methods in Molecular Design, Vol 2. Wiley-VCH, Weinheim, Germany. pp. 195-218.