Open Source Tools Applied to Text Data Recovery in Big Data Environments. Uso de Ferramentas Livres para Recuperação de Conteúdos Textuais em Ambientes Big Data
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Artigo de evento
Date
2015
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SBSI 2015 - Proceedings of the Annual Conference on Brazilian Symposium on Information Systems, Information Systems: A Computer Socio-Technical Perspective
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1
Authors
Attorre B.F.M.
Silva L.A.
Silva L.A.
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Journal Title
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Volume Title
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Abstract
© SBC 2015.As the volume of data on the web continue to increase, it is getting more challenging for the search mechanism to find with a high precision rate what the users want to find. As a solution to improve these results, the development of a recommender engine, based on the content of the documents, would prove itself very useful. In this context, this research has the objective to show how the current search and indexing tools could be improved with recommendation, Machine Learning and textual analysis algorithms. The idea behind these project would be to, based on the content of the documents recovered in the search, find similar documents using most of the Open Source technology we have available right now.
Description
Keywords
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'current , Data environment , Data recovery , High-precision , Index tool , Machine-learning , Open source tools , Precision rates , Search mechanism , Text data