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Collaborative filtering has been very successful in both research and applications. In collaborative filtering algorithm, the most important process is selecting neighbors for the active user. Traditional methods compute user's similarity on the whole set of items. Because researchers believed if users have similar preference on some of items, they will have the similar preference on other items....
Collaborative filtering has been very successful in both research and applications. Current collaborative filtering based on clustering compute the whole set of items during the process of clustering or selecting nearest-neighbors, because the researchers believed if users have similar preferences on some of items, they will have the similar preferences on other items. But we think that users have...
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.