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Recommender systems are designed to solve the overload information. Collaborative filtering based on the entire user network is by far most widely recommended algorithm, but it produced large amounts of operational data and it has difficulty to analyze characteristics of products and deal with data sparsity problem. To solve this problem, we employed a hybrid recommendation model which combined the...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.