RECUPERANDO INFORMAÇÕES DA WEB COM BASE NA ANÁLISE DE PREFERÊNCIA
Journal Title: Revista Competência - Year 2013, Vol 6, Issue 1
Abstract
Ordering a set of objects according to their relevance to certain criteria has become an expensive task to the computational point of view due to the large amount of information available (web). Combine rankings, which were previously made, helps to reduce such costs. However, this process has found several limitations in its application, such as different access structures, heterogeneous rankings (complete and partial), a distinction of rankings importance (automatic and manual), among others. We propose in this paper a model of Fusion rankings based on the Preference Analysis which aims to overcome those limitations without impacting the performance of the resulting ranking. The model can be used in web information retrieval applications (meta-search). The experiments results made possible to validate the model of ranking fusionas well as its applicability in web information retrieval.
Authors and Affiliations
Elmário Gomes Dutra Jr. José Valdeni de Lima
Keywords
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- EP ID EP677211
- DOI https://doi.org/10.24936/2177-4986.v6n1.2013.45
- Views 249
- Downloads 0
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