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Lecture Notes in Computer Science
A key building block for collaborative filtering recommender systems is finding users with similar consumption patterns. Given access to the full data regarding the items consumed by each user, one can directly compute the similarity between any two users. However, for massive recommender systems such a naive approach requires a high running time and may be intractable in terms of the space required to store the full data. One way to overcome this is using sketching, a technique that representsdoi:10.1007/978-3-642-39212-2_41 fatcat:x777tsaroraxzaa77qxznlr5ei