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  • Improving Item-Based Recommendation Accuracy with User's Preferences on Apache Mahout 

    Authors:Jabakji, Ammar; Daǧ, Hasan
    Publisher and Date:(IEEE, 2016)
    Recommendation systems play a critical role in the Information Science application domain especially in e-commerce 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 different domains some serious challenges remain especially in regards to large e-commerce sites for recommender systems need to manage millions of ...