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Heterogeneous networks where low power nodes (e.g., femtocells) are employed in addition to existing macrocells have been proposed to cope with increasing data traffic. On the other hand, additionally installed femtocells incur interference against existing macrocells. The interference is particularly severe when the frequency band is shared by both a macrocell and femtocells for the efficient usage...
We predict accuracy of user's preferences by using memory-based collaborative filtering algorithm in recommender system, and then analyze the results through the EDA approach. The possibilities are presented that prediction accuracy can be evaluated before prediction process by analyzing the results. The classification functions using the generative probability of specific ratings are made, and users...
The purpose of this study is to suggest an algorithm of a recommender system to increase the customer's desire of purchasing, by automatically recommending goods transacted on e-commerce to customers. The recommender system has various filtering techniques according to the methods of recommendation. In this study, researchers study collaborative filtering among recommender systems. The accuracy of...
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