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Defining Personalized Learning Views of Relevant Learning Objects in a Collaborative Bookmark Management System
| Content Provider | Semantic Scholar |
|---|---|
| Author | Carbonaro, Antonella |
| Copyright Year | 2006 |
| Abstract | In this chapter, we introduce how to use a Web-based hybrid recommender system developed with a collaborative bookmark management system approach. The system combines content analysis and the development of virtual clusters of students and educational sources. It provides facilitation in the use of a huge amount of digital information stored in a distributed learning environment on the basis of the student's personal requirements and interests. By adopting a hybrid approach, the system is able to effectively filter relevant resources from a wide heterogeneous environment like the Web, taking advantage of the common interests of the users and also maintaining the 701 E. Chocolate Avenue, Suite 200, Hershey PA 17033, USA Tel: 717/533-8845; Fax 717/533-8661; URL-http://www.idea-group.com ITB11629 INFORMATION SCIENCE PUBLISHING This chapter appears in the book, Web-Based Intelligent E-Learning Systems: Technologies and Applications edited by Zongmin Ma © 2006, Idea Group Inc. |
| Starting Page | 139 |
| Ending Page | 155 |
| Page Count | 17 |
| File Format | PDF HTM / HTML |
| DOI | 10.4018/978-1-59140-729-4.ch007 |
| Alternate Webpage(s) | https://www.igi-global.com/viewtitlesample.aspx?id=31364&ptid=1059&t=defining+personalized+learning+views+of+relevant+learning+objects+in+a+collaborative+bookmark+management+system |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |