Misc,

Web genre visualization

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(2002)

Abstract

Web users vary widely in terms of their expertise on the topics for which they search, the amount of detail they seek, etc. Unfortunately, today's one-size-fits-all Web search services do not cater to such individual preferences. For example, it is difficult to query for documents that give extensive detail but assume modest prior expertise. We describe how shallow text classification techniques can be used to sort the documents returned by Web search services according to genre dimensions such ...

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