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This paper is to authenticate and work with playlists by using Triple Security Generator (TSG). It is used to evaluate with best suitable data mining functions, to explore and express features and grouping of music. Here, the authors have three methods to authenticate playlists. The recommender systems are popular social web tools, as they address the information overload problem and provide personalization of results. Their intent is to select optimal features, to identify and develop the best suitable Data Mining functionality that could be applied to class of problem. The TSG technique can provide best secure of the list.
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