What Do You Recommend? Implementation and Analyses of Collaborative Information Filtering of Web Resources for Education

Authors

Mimi Recker, Utah State UniversityFollow
Andrew Walker, Utah State UniversityFollow
Kimberly Lawless, University of Illinois at Chicago

Document Type

Article

Journal/Book Title/Conference

Instructional Science

Volume

31

Issue

4-5

Publisher

Springer Verlag

Publication Date

7-2003

First Page

299

Last Page

316

Abstract

This article examines results from one pilotstudy and two empirical studies of acollaborative filtering (CF) system applied ineducational settings. CF is a populartechnology in electronic commerce, whichleverages the interests of entire communitiesto provide targeted, personalizedrecommendations of interesting products orresources to individuals. In electroniccommerce, entertainment, and related domains,CF has proven an accurate and reliable tool;yet educational applications remain limited.From analyses of data from these three studies,we believe that CF holds promise in educationnot only for the purposes of helping learnersand educators find useful resources forlearning, but as a means of bringing togetherpeople with similar interests and beliefs, andpossibly as an aid to the learning processitself.

Comments

Originally published by Springer Verlag. Publisher's PDF available through remote link.

Recommended Citation

Recker, M., Walker, A., & Lawless, K. (2003). What do you recommend? Implementation and analyses of collaborative information filtering of Web resources for education. Instructional Science, 31(4/5), 229-316.