2016
DOI: 10.1007/978-981-10-2419-1_20
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MOOCs Recommender System: A Recommender System for the Massive Open Online Courses

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Cited by 6 publications
(7 citation statements)
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“…Are the available MOOC reviews reliable? (Ouertani and Alawadh, 2017). Usually, in literature we find different approaches trying to perform an efficient course selection: collaborative filtering (according to users in same interests on same courses), content-based filtering (using courses features from courses that the user likes to recommend similar items), knowledgebased approaches, or hybrid recommender approaches, among others (Al-Badarenah and Alsakran, 2016).…”
Section: Related Workmentioning
confidence: 99%
“…Are the available MOOC reviews reliable? (Ouertani and Alawadh, 2017). Usually, in literature we find different approaches trying to perform an efficient course selection: collaborative filtering (according to users in same interests on same courses), content-based filtering (using courses features from courses that the user likes to recommend similar items), knowledgebased approaches, or hybrid recommender approaches, among others (Al-Badarenah and Alsakran, 2016).…”
Section: Related Workmentioning
confidence: 99%
“…Similarly Huang and Lu [104] and Hou et al [109] both used context sensitive filtering. Knowledge base technique was employed by Ouertani and Alawadh [100] for course recommendation. Furthermore, learning analytics were used in Chen et al [81] using data from UpWork 7 to recommend relevant courses to the learner.…”
Section: Rq1 How Many Studies Supported Their Claim With Experiments and Which Datasets Were Used In The Studies?mentioning
confidence: 99%
“…Explicit feedback is collected from the user using a dialoguebased interface, and the knowledge base is updated accordingly [41]. Ouertani and Alawadh [100] used knowledge-based recommender systems to recommend courses. Touimi et al [151] used latent dirichlet allocation (LDA) to recommend answers to the learner via a chatbot in discussion forums showing as number of concepts increase the performance of LDA declines.…”
Section: Knowledge-based Filtering (Kbf)mentioning
confidence: 99%
“…From 2013 to 2016, most of the work on the implementation of the recommender system for courses used collaborative and content-based filtering (Onah & Sinclair, 2015a;Piao & Breslin, 2016). Some researchers discussed the need for course recommender systems in MOOCs (Campos et al, 2018a;Fu et al, 2015;Ouertani & Alawadh, 2017). Campos et al (2018b) implemented a course recommender system using knowledge reuse in ecosystems,…”
Section: Course Recommender Systemsmentioning
confidence: 99%