M. Tahmasebi
Department of Computer Engineering, Yazd University and University of Qom, Alghadir Blvd., Qom, Iran.
[ 1 ] - Hybrid Adaptive Educational Hypermedia Recommender Accommodating User’s Learning Style and Web Page Features
Personalized recommenders have proved to be of use as a solution to reduce the information overload problem. Especially in Adaptive Hypermedia System, a recommender is the main module that delivers suitable learning objects to learners. Recommenders suffer from the cold-start and the sparsity problems. Furthermore, obtaining learner’s preferences is cumbersome. Most studies have only focused...
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