Performance improvement for recommender systems using ontology

Recommender systems have emerged in the e-commerce domain and have been developed to actively recommend appropriate items to online users. The use of recently developed hybrid recommendation systems has helped overcome the main drawbacks of Content-Based Filtering (CBF) and Collaborative Filtering (...

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Bibliographic Details
Main Authors: Bagherifard, K., Rahmani, M., Nilashi, M., Rafe, V.
Format: Article
Published: Elsevier Ltd 2017
Subjects: