Computer Science – Information Retrieval
Scientific paper
2007-11-27
Computer Science
Information Retrieval
Submitted to 2008 IEEE Information Theory Workshop (6 pages, 6 figures)
Scientific paper
The main contribution of this paper is to design an Information Retrieval (IR) technique based on Algorithmic Information Theory (using the Normalized Compression Distance- NCD), statistical techniques (outliers), and novel organization of data base structure. The paper shows how they can be integrated to retrieve information from generic databases using long (text-based) queries. Two important problems are analyzed in the paper. On the one hand, how to detect "false positives" when the distance among the documents is very low and there is actual similarity. On the other hand, we propose a way to structure a document database which similarities distance estimation depends on the length of the selected text. Finally, the experimental evaluations that have been carried out to study previous problems are shown.
Borja Rodriguez Francisco de
Camacho David
Cebrian Manuel
Martinez Rafael
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