id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_5vwgkea44rbdzmzx5o2wmh3qai	Blessing Mbipom	Improving e-learning recommendation by using background knowledge	2018	14	.pdf	application/pdf	7317	566	58	In our method, we create a conceptaware representation that contains a good coverage of relevant topics from the domain. we present a method that harnesses the developed background knowledge to augment the representation of learning resources in order to improve e-Learning recommendation. We refine our method presented in (Mbipom et al., 2016) to generate a richer and focused set of domain concepts. so that we can generate a richer set of relevant topics that provide a good coverage of the learning domain. this knowledge for representing learning resources, we expect to retrieve documents based on the doWe expect the representation created using the CONCEPTBASED+ method to contain a better coverage of the learning domain because of the richer concepts For recommendation using CONCEPTBASED+, we use the same representation and document similarity as the CONCEPTBASED method illustrated in Figures 4 & 5, but with a richer concept	./cache/work_5vwgkea44rbdzmzx5o2wmh3qai.pdf	./txt/work_5vwgkea44rbdzmzx5o2wmh3qai.txt