A multidimensional paper recommender: Experiments and evaluations

IEEE Internet Computing

Volumn 13, Issue 4, 2009, Pages 34-41

  Tang, Tiffany Y ^a   McCalla, Gordon ^b  

^a Konkuk University   (South Korea)

^b UNIVERSITY OF SASKATCHEWAN   (Canada)

Author keywords

Collaboration; Correlation; Data mining; e learning; Filtering; Information filtering; Internet; Motion pictures; Paper recommender systems; Principal component analysis

Indexed keywords

BACKGROUND KNOWLEDGE; COLD START PROBLEMS; COLLABORATION; CORRELATION; FILTERING; HUMAN SUBJECTS; INFORMATION FILTERING; RECOMMENDER SYSTEMS;

E-LEARNING; EDUCATION; INTERNET; MINING; MOTION PICTURES; MULTIMEDIA SYSTEMS; PAPER;

PRINCIPAL COMPONENT ANALYSIS;

CORRELATION; DATA; EDUCATION; FILTRATION; INTERNET; MINING; PAPER;

EID: 68349160556     PISSN: 10897801     EISSN: None     Source Type: Journal    
DOI: 10.1109/MIC.2009.73     Document Type: Article

References (9)

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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.