The obtained experimental results show that the proposed e-learning recommender system outperforms other similar e-learning recommender systems that use non-semantic content-based filtering technique ...

The results obtained from the test data show that the proposed e-learning recommender system outperforms existing e-learning recommender systems that use collaborative filtering and content-based ...

A new approach to recommender algorithms, hidden behind proprietary walls, could help digital platforms filter content more carefully.

Using the context-based recommender system, pattern-based recommendations are provided by retrieving patterns from the Web based on the user’s past interactions. A content-based recommender system ...