1. Clasificadores inductivos para el posicionamiento web.
- Author
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Domingo, Farncisco José Soltero and Sagi, Diego José Bodas
- Subjects
- *
INTERNET searching , *WORLD Wide Web , *COMPUTER network resources , *DATABASE searching , *INFORMATION retrieval , *ELECTRONIC information resource searching , *DATA mining - Abstract
This paper shows how the individual study of different basic attributes from a web resource is not enough to infer different positioning strategies for search engines. The fundamental question is about the relation between the different elements that compose the page and the importance that each of them contributes to the final positioning. As an alternative to this problem, we propose the use of inductive learning techniques, more concretely, sort trees. Results are reflected in two experiments, the outcome of two different learning algorithms. As a final result, we conclude that the application of this technique can be a very promising starting point for optimising web positioning. [ABSTRACT FROM AUTHOR]
- Published
- 2005
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