Question: With large datasets, it is computationally difficult to compute user - based recommendations in real time, and an item - based approach is used instead.
With large datasets, it is computationally difficult to compute userbased recommendations in real time, and an itembased approach is used instead. Returning to the rating data not the binary matrix lets now take that approach. point If the goal is still to find a recommendation for EN for which course pairs is it possible and useful to calculate correlations? point Just looking at the data, and without yet calculating course pair correlations, which course would you recommend to EN relying on itembased filtering? Calculate two course pair correlations involving your guess and report the results.
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