Users of Web search engines are often forced to sift through the long ordered list of document “snippets” returned by the engines. The IR community has explored document cluste...
1 This paper presents an investigation into the utility of document summarisation in the context of information retrieval, more specifically in the application of so called query b...
We discuss two learning algorithms for text filtering: modified Rocchio and a boosting algorithm called AdaBoost. We show how both algorithms can be adapted to maximize any gene...
Abstract Models of document indexing and document retrieval have been extensively studied. The integration of these two classes of models has been the goal of several researchers b...
Previous research has shown that hypertext links may be a useful source of evidence for document contents and relevance, but these evidence are rather difficult to represent and co...
Abstract We present a fast compression and decompression scheme for natural language texts that allows e cient and exible string matching by searching the compressed text directly....
Edleno Silva de Moura, Gonzalo Navarro, Nivio Zivi...
Most casual users of IR systems type short queries. Recent research has shown that adding new words to these queries via adhoc feedback improves the retrieval e ectiveness of such ...