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Publikováno v:
ECTI Transactions on Computer and Information Technology (ECTI-CIT). 12:106-117
This research proposes the Top-k Items Recommendation System which uses clustering techniques based on memory-based collaborative filtering technique. Currently, data sparsity and quantity of system are problems in memory-based collaborative filterin