Page content rank: an approach to the web content mining

@inproceedings{Pokorn2005PageCR,
  title={Page content rank: an approach to the web content mining},
  author={Jaroslav Pokorn{\'y} and Jozef Smizansk{\'y}},
  booktitle={IADIS AC},
  year={2005}
}
Methods of web data mining can be divided into several categories according to a kind of mined information and goals that particular categories set: Web structure mining (WSM), Web usage mining (WUM), and Web Content Mining (WCM). The objective of this paper is to propose a new WCM method of a page relevance ranking based on the page content exploration. The method, we call it Page Content Rank (PCR) in the paper, combines a number of heuristics that seem to be important for analysing the… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 11 references

Web data mining

  • A. Moffat
  • 2004

Web data mining. Master Thesis, Faculty of Mathematics and Physics, Charles University in Prague

  • J. Smizansky
  • 2004
1 Excerpt

The anatomy of a large-scale hypertextual Web search engine

  • L. Page, S. Brin
  • In Computer Networks and ISDN Systems,
  • 1998
2 Excerpts

Connectionist models and information retrieval

  • Doszkocs, E T.
  • In Annual Review of Information Science and…
  • 1990

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