%0 Journal Article %1 citeulike:5655358 %A Tang, T. Y. %A McCalla, G. %C Piscataway, NJ, USA %D 2009 %I IEEE Educational Activities Department %J Internet Computing, IEEE %K academic-reference dlpaws recommender %N 4 %P 34--41 %R 10.1109/mic.2009.73 %T A Multidimensional Paper Recommender: Experiments and Evaluations %U http://dx.doi.org/10.1109/mic.2009.73 %V 13 %X 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 recommender system) and help the system more appropriately support users as they learn.

@article{citeulike:5655358, abstract = {{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 recommender system) and help the system more appropriately support users as they learn.}}, added-at = {2018-03-19T12:24:51.000+0100}, address = {Piscataway, NJ, USA}, author = {Tang, T. Y. and McCalla, G.}, biburl = {https://www.bibsonomy.org/bibtex/21ace24814c1fba74505590288b455a6e/aho}, citeulike-article-id = {5655358}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1592068}, citeulike-linkout-1 = {http://dx.doi.org/10.1109/mic.2009.73}, citeulike-linkout-2 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5167266}, day = 21, doi = {10.1109/mic.2009.73}, interhash = {6d2aa117d7141f3e3cb0e51076c56beb}, intrahash = {1ace24814c1fba74505590288b455a6e}, issn = {1089-7801}, journal = {Internet Computing, IEEE}, keywords = {academic-reference dlpaws recommender}, month = jul, number = 4, pages = {34--41}, posted-at = {2009-08-26 23:42:38}, priority = {2}, publisher = {IEEE Educational Activities Department}, timestamp = {2018-03-19T12:24:51.000+0100}, title = {{A Multidimensional Paper Recommender: Experiments and Evaluations}}, url = {http://dx.doi.org/10.1109/mic.2009.73}, volume = 13, year = 2009 }