e-Learning has turned to be a necessity for everyone, as it enables continuous and life-long education. Learners are social by nature. They want to connect to othersand share the same interests. Online communities are important to help and encourage learners to continue education. Learners through social capabilities can share different experiences.Social networks are cornerstone for e-Learning. However, alternatives are many. Learners might get lost in the tremendous learning resources that are available. It is the role of recommender systems to help learners find their own way through e-Learning. We present a review of different recommender system algorithms that are utilized in social networks based e-Learning systems. Future research will include our proposed our e-Learning system that utilizes Recommender System and Social Network
Comments: 28 Pages.
[v1] 2016-02-27 10:52:47
Unique-IP document downloads: 26 times
Vixra.org is a pre-print repository rather than a journal. Articles hosted may not yet have been verified by peer-review and should be treated as preliminary. In particular, anything that appears to include financial or legal advice or proposed medical treatments should be treated with due caution. Vixra.org will not be responsible for any consequences of actions that result from any form of use of any documents on this website.
Add your own feedback and questions here:
You are equally welcome to be positive or negative about any paper but please be polite. If you are being critical you must mention at least one specific error, otherwise your comment will be deleted as unhelpful.