Name
Title | ||
|---|---|---|
Social Collaborative Filtering Approach For Recommending Courses In An E-Learning Platform |
Abstract | ||
|---|---|---|
In recent years, learning online using the e-learning platforms becomes indispensable in the teaching process. Companies and scientific researchers try to find new optimal methods and approaches that can improve education online. In this paper, we propose a new recommendation approach for recommending relevant courses to learners. Our method is based on social filtering and collaborative filtering for defining the best way in which the learner must learn, and recommend courses which better much the learner's profile and social content. (C) 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the Conference Program Chairs. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.procs.2019.04.166 | 10TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT 2019) / THE 2ND INTERNATIONAL CONFERENCE ON EMERGING DATA AND INDUSTRY 4.0 (EDI40 2019) / AFFILIATED WORKSHOPS |
Keywords | DocType | Volume |
E-learning, Recommender Systems, Collaborative Filtering, Social Filtering, Sentiment Analysis, Social Network | Conference | 151 |
ISSN | Citations | PageRank |
1877-0509 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Youness Madani | 1 | 4 | 4.13 |
| Mohammed Erritali | 2 | 14 | 10.03 |
| Jemaa Bengourram | 3 | 3 | 2.41 |
| Francoise Sailhan | 4 | 0 | 0.34 |