A recommender system based on collaborative filtering using ontology and dimensionality reduction techniques.

•A new method is developed for recommender systems.•The recommender system is developed based on collaborative filtering.•Scalability and sparsity issues in recommender systems are solved.•MovieLens and Yahoo! Webscope R4 datasets are used for method evaluation.•The method is effective in solving the sparsity and scalability problems in CF.