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Recommender systems analyze user's profile and the relationship between user and target item to help user purchase or rent the item based on user's interest. With the help of computer, recommender systems can analyze huge collection of data based on users' preferences to give good recommended items. Recommender system can give personalize feeling to the user because it is based on the real input from the user and it is always updated information which is stored in the computer. Whenever the user buys or reviews new item, a new recommended list is created for that particular user.
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