The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Ontology-Based User Competencies Modeling for E-Learning Recommender Systems
|
|
Author(s): Mihaela Brut (Alexandru Ioan Cuza University of Iasi, Romania), Florence Sedes (Institut de Recherche en Informatique de Toulouse, France)and Corinne Zayani (Institut de Recherche en Informatique de Toulouse, France)
Copyright: 2009
Pages: 20
Source title:
Collaborative and Social Information Retrieval and Access: Techniques for Improved User Modeling
Source Author(s)/Editor(s): Max Chevalier (University of Toulouse, IRIT (UMR 5505), France), Christine Julien (University of Toulouse, IRIT (UMR 5505), France)and Chantal Soule-Dupuy (University of Toulouse, IRIT (UMR 5505), France)
DOI: 10.4018/978-1-60566-306-7.ch006
Purchase
|
Abstract
Inside the e-learning platforms, it is important to manage the user competencies profile and to recommend to each user the most suitable documents and persons, according to his or her acquired knowledge, to their long-term interests, but also according to his very current goals. The authors of this chapter explore a Semantic Web-based modeling approach for the document annotations and user competencies profile development, based on the same domain ontology set. The ontologies constitute the binder between the materials and users. For the user profile development and for the personalized recommendations facilities, the authors’ solution propose a hybrid recommender approach: first the user navigation inside the ontology is monitored (instead of user navigation inside the e-learning platform) and the next concept of interest is recommended through a collaborative filtering method; then a content-based recommendation of documents is provided to the user, according the selected concept and his competencies profile. In both phases, a variant of the nearest neighbor algorithm is applied.
Related Content
|
Prasanna Ranjith Christodoss, Rajesh Natarajan.
© 2022.
14 pages.
|
|
K. Uday Kiran, Gowtham Mamidisetti, Chandra shaker Pittala, V. Vijay, Rajeev Ratna Vallabhuni.
© 2022.
12 pages.
|
|
Amalraj Irudayasamy, Prasanna Ranjith Christotodoss, Rajesh Natarajan.
© 2022.
20 pages.
|
|
Koppula Srinivas Rao, S. Saravanan, Kasula Raghu, V. Rajesh, Pattem Sampath Kumar.
© 2022.
15 pages.
|
|
Swapna B., Arulmozhi P., Kamalahasan M., Anuradha V., Meenaakumari M., Hemasundari H., Aathilakshmi T..
© 2022.
21 pages.
|
|
Archana K. S., Sivakumar B., Siva Prasad Reddy K.V, Arul Stephen C., Vijayalakshmi A., Ebenezer Abishek B..
© 2022.
15 pages.
|
|
Swapna B., M. Kamalahasan, S. Gayathri, S. Srinidhi, H. Hemasundari, S. Sowmiya, S. Shavan Kumar.
© 2022.
12 pages.
|
|
|