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Recommender systems is a family of methods that enable filtering through large observation and information space in order to provide recommendations in the information space that user does not have any observation, where the information space is all of the available items that user could choose or select and observation space is what user experienced or observed so far.

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Traditionally, this questions are answered with peer recommendations(word of mouth, forums, blog posts or reviews) or expert advice(columnist, librarian and recommendation of someone who has domain expertise).

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What to eat, which movie to watch, what book to read are the questions that we find ourselves to answer all the time.She may not have peers who share somehow same taste in music and movies, she may not have access reading expert advices.

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Second, they are biased towards their preference(naturally) where when you want to make a decision, you want to be biased towards yourself in order to maximize the decision outcome.

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