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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