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The World Wide Web provides a wealth of data that can be harnessed to help improve information retrieval and increase understanding of the relationships between different entities. In many cases, the authors are often interested in determining how similar two entities may be to each other, where the entities may be pieces of text, descriptions of some object, or even the preferences of a group of people. In this paper, they examine several instances of this problem, and show how they can be addressed by harnessing data mining techniques applied to large web-based data sets.
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