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Recommendation engines are specially designed systems that collect and store information (data) about a person that can be subjected to filtering and statistical analysis (analytics) to make recommendations about actions the individual could take or resources the individual could explore. For example, asking a person to name his or her three favorite musical groups provides a glimpse of the individual’s taste in music. When this information is merged with other known information such as the person’s age and address, a statistical profile can be generated to compare the individual’s musical interests with millions of other people to make suggestions about other musical groups the individual might enjoy. Recommendation engines are one component of a larger trend known as personalization technologies that seek to use large ...

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