Fast Recommendations With the M-Distance
IEEE Access, Volume 4, 2016, Pages 1464-1468.
Memory-based recommender systems with $m$ users and $n$ items typically require $O(mn)$ space to store the rating information. In item-based collaborative filtering (CF) algorithms, the feature vector of each item has length $m$ , and it takes $O(m)$ time to compute the similarity between two items using the P...More
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