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How the cosine similarity algorithm designs the database

Source: Internet
Author: User
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In the site database there are many articles, have been tagged with the relevant tag, when the user registration, will ask the user to choose the tag, and then use the cosine similarity algorithm after the first recommendation to him, but so every visit will be recalculated, how to design a database to save to the user's recommendation?

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In the site database there are many articles, have been tagged with the relevant tag, when the user registration, will ask the user to choose the tag, and then use the cosine similarity algorithm after the first recommendation to him, but so every visit will be recalculated, how to design a database to save to the user's recommendation?

Separate the tag with a comma, merge it into a string, and save ~

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