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کامپیوتر و شبکه::
فیلترینگ مشارکتی
users and interesting locations; and 3) collaborative filtering (CF) recommendation, which
Social Location User Activity Content Link CF User Individual User
Filtering (CF) models that give personalized recommendations for locations that take
proposed technique achieves 40 % in precision and 25 % in recall, which are significantly superior than the conventional user-based collaborative filtering.
CF module to fuse multiple factors as: a) the user's preferences, which are extracted from
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