document: Template detection via data mining and its applications We formulate and propose the template detection problem , and suggest a practical solution for it based on counting frequent item sets . We show that the use of templates is pervasive on the web . We describe three principles , which characterize the assumptions made by hypertext information retrieval ( IR ) and data mining ( DM ) systems , and show that templates are a major source of violation of these principles . As a consequence , basic `` pure '' implementations of simple search algorithms coupled with template detection and elimination show surprising increases in precision at all levels of recall .
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