What Do You Recommend? Implementation and Analyses of Collaborative Information Filtering of Web Resources for Education
ISAIJLS Volume 31, Number 4, ISSN 0020-4277
Examines results from one pilot study and two empirical studies of a collaborative filtering system applied in higher education settings. Explains the use of collaborative filtering in electronic commerce and suggests it can be adapted to education to help find useful Web resources and to bring people together with similar interests and beliefs. (Author/LRW)
Recker, M.M., Walker, A. & Lawless, K. (2003). What Do You Recommend? Implementation and Analyses of Collaborative Information Filtering of Web Resources for Education. Instructional Science: An International Journal of the Learning Sciences, 31(4), 299-316.
Cited ByView References & Citations Map
Pinata Winoto & Tiffany Tang, Konkuk University, Chungju City; Gordon McCalla, University of Saskatchewan
The International Review of Research in Open and Distributed Learning Vol. 13, No. 5 (Nov 08, 2012) pp. 56–75
Andrew Chiarella, McGill, Canada; Susanne Lajoie, McGill University, Canada
E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2006 (October 2006) pp. 2753–2757
Peter Brusilovsky, Michael Yudelson & Sergey Sosnovsky, University of Pittsburgh, United States
E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2005 (October 2005) pp. 2844–2850
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