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Abstract
Collaborative filtering is an important personalized method in recommender systems in internet commerce. It is infeasible that traditional collaborative filtering is based on absolute rating for items since users are difficult to accurately make an absolute rating for items, and also different users give different rating distribution. In this tutorial, it shows that how to use a Hama to calculate TCF.
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We don't have to recalculate the same value pair with reversed order.
BR ex) similar(UserA, UserB) == similar(UserB, UserA).
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