Santosh Kabbur

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The effectiveness of existing top-<i>N</i> recommendation methods decreases as the sparsity of the datasets increases. To alleviate this problem, we present an item-based method for generating top-<i>N</i> recommendations that learns the item-item similarity matrix as the product of two low dimensional latent factor matrices. These matrices are learned(More)
—Demographic information plays an important role in gaining valuable insights about a web-site's user-base and is used extensively to target online advertisements and promotions. This paper investigates machine-learning approaches for predicting the demographic attributes of web-sites using information derived from their content and their hyperlinked(More)
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