Measuring learner's performance in e-learning recommender systems

• Main Authors: Ghauth, Khairil Imran, Abdullah, Nor Aniza
• Format: Article
• Language: English
• Published: Australasian Society for Computers in Learning in Tertiary Education 2010
• Subjects: QA75 Electronic computers. Computer science; T Technology (General)
• Online Access: http://eprints.um.edu.my/4699/1/Measuring_learner%27s_performance_in_e-learning_recommender_systems.pdf; http://eprints.um.edu.my/4699/; https://doi.org/10.14742/ajet.1041

A recommender system is a piece of software that helps users to identify the most interesting and relevant learning items from a large number of items. Recommender systems may be based on collaborative filtering (by user ratings), content-based filtering (by keywords), and hybrid filtering (by both...