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