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Item‐based collaborative filtering (CF) is a model‐based algorithm for making recommendations. In the algorithm, the similarity between items are calculated by using a number of similarity measures, and then these similarity values are used to predict ratings for users. However, if the number of items and users grows to millions, the scalability and the processing efficiency of item‐based CF can be...
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.