Novel centroid selection approaches for KMeans-clustering based recommender systems
نویسندگان
چکیده
منابع مشابه
Novel centroid selection approaches for KMeans-clustering based recommender systems
Recommender systems have the ability to filter unseen information for predicting whether a particular user would prefer a given item when making a choice. Over the years, this process has been dependent on robust applications of data mining and machine learning techniques, which are known to have scalability issues when being applied for recommender systems. In this paper, we propose a k-means ...
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ژورنال
عنوان ژورنال: Information Sciences
سال: 2015
ISSN: 0020-0255
DOI: 10.1016/j.ins.2015.03.062