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The aim of this work was to develop and compare recommendation systems which use the item-based collaborative filtering algorithm, based on Hadoop and Spark. Data for the research were gathered from a real social portal the users of which can express their preferences regarding the applications on offer. The Hadoop version was implemented with the use of the Mahout library which was an element of...
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