Improving item-based recommendation accuracy with user's preferences on Apache Mahout


Recommendation systems play a critical role in the Information Science application domain, especially in ecommerce ecosystems. In almost all recommender systems, statistical methods and machine learning techniques are used to recommend items to the users. Although the user-based collaborative filtering approaches have been applied successfully in many… (More)
DOI: 10.1109/BigData.2016.7840789


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