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https://www.researchgate.net/publication/220233200_Social_Recommender_Systems_Recommendations_in_Support_of_E-Learning
Social Recommender Systems: Recommendations in Support of E-Learning. Article (PDF Available) in International Journal of Distance Education Technologies 3(2):30-47 · April 2005 with 175 Reads
https://www.igi-global.com/article/social-recommender-systems/1651
Social Recommender Systems: Recommendations in Support of E-Learning: 10.4018/jdet.2005040103: Recommendation systems can play an extensive role in online learning. In such systems, learners can receive guidance in locating and ranking referencesCited by: 60
https://www.igi-global.com/chapter/social-recommender-systems/27561
Social Recommender Systems: Recommendations in Support of E-Learning: 10.4018/978-1-59904-935-9.ch196: Recommendation systems can play an extensive role in online learning. In such systems, learners can receive guidance in locating and ranking referencesCited by: 60
https://www.academia.edu/21203883/Social_recommender_systems_Recommendations_in_support_of_e-learning
Recommendation systems can play an extensive role in online learning. In such systems, learners can receive guidance in locating and ranking references, knowledge bits, test items, and so forth. In recommender systems, users' ratings can be
https://www.ijltemas.in/DigitalLibrary/Vol.6Issue7/156-158.pdf
recommendation system. This paper focuses on discussion of various works carried out on the importance of social media for a recommender system in an e-learning environment. Keywords: e-learning, social media, recommender system, ICT, web based learning. I. INTRODUCTION-learning can be defined as electronic learning that
https://link.springer.com/chapter/10.1007%2F978-1-4899-7637-6_12
Abstract. This chapter presents an analysis of recommender systems in Technology-Enhanced Learning along their 15 years existence (2000–2014). All recommender systems considered for the review aim to support educational stakeholders by personalising the learning process.Cited by: 166
https://github.com/DeepGraphLearning/RecommenderSystems/tree/master/socialRec
Mar 28, 2019 · This new dataset can support various kinds of research on recommender systems, such as social recommendation, dynamic recommendation and multi-domain recommendation.. Download: Douban(112M) Contact. Weiping Song, [email protected] Citation. If you use DGRec or Douban datasets in your research, please cite our paper:
http://blogs.cuit.columbia.edu/yc2271/files/2017/05/CH-QJE-07-05-17.pdf
RECOMMENDER SYSTEMS AS MECHANISMS FOR SOCIAL LEARNING Yeon-Koo Che and Johannes H orner y This paper studies how a recommender system may incentivize users to learn about a product collaboratively. To improve the incentives for …
https://www.researchgate.net/publication/234057357_Recommender_Systems_for_Learning
In this paper, we present a recommendation approach for learning objects (LOs) in ubiquitous e-learning systems. Many of these systems are social learning networks, and learners can interact with ...
https://link.springer.com/article/10.1007/s10462-017-9539-5
Jan 13, 2017 · This study shows that use of ontology for knowledge representation in e-learning recommender systems can improve the quality of recommendations. It was also evident that hybridization of knowledge-based recommendation with other recommendation techniques can enhance the effectiveness of e-learning recommenders.Cited by: 84
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