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- W2171013708 abstract "Similarity computation between pairs of objects is often a bottleneck in many applications that have to deal with massive volumes of data. Motivated by applications such as collaborative filtering in large-scale recommender systems, and influence probabilities learning in social networks, we present new randomized algorithms for the estimation of weighted similarity in data streams." @default.
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- W2171013708 date "2015-10-17" @default.
- W2171013708 modified "2023-10-16" @default.
- W2171013708 title "Weighted Similarity Estimation in Data Streams" @default.
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- W2171013708 doi "https://doi.org/10.1145/2806416.2806515" @default.
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