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To determine the most effective book recommendation method for libraries, we conducted a recommendation experiment using (1) collaborative filtering based on the library loan records, (2) association rule mining based on the same data, and (3) Amazon. The library loan records of a certain university library for the period 2006 to 2011 were used. We recommended books to 33 students and asked them to...
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.