Sentence examples for the retrieved document from inspiring English sources

To maintain user's data confidentiality, the keyword search functionality should be able to perform over encrypted cloud data and additionally it should not leak any information about the searched keyword or the retrieved document.

This process incorporates the semantics into the retrieved document space.

Table  1 also shows the results for libsvm when the researcher modified her relevance judgments after making a more detailed examination of the retrieved document, in some cases after reviewing the full text of the document.

In the study presented here, a similar approach was chosen in the instructions to the evaluators in the sense that they could make the distinction between 'irrelevant' (e.g. the retrieved document was only a web hosted clinical question) and 'medically irrelevant' (e.g. the word Appendicitis appeared only in the reference section of a document dealing with questions of abdominal pain relief).

Browser software allows users to view the retrieved documents.

One of the reasons for this is the limitation of existing document ranking approaches, in which relationships between terms in documents are not considered to assess the relevance of the retrieved documents.

In particular, our experiments show that while the expert search system performance is related to the relevance of the retrieved documents, surprisingly, it is not always the case that increasing document search effectiveness causes an increase in expert search performance.

By leveraging post-retrieval document clustering techniques, this system aids users in querying multiple medical data sources to gain an overview of the retrieved documents and locating answers of high quality to a wide spectrum of health questions.

The system presents the retrieved documents to users in two different views: (1) Web pages organized by a list of key phrases, and (2) Web pages clustered into regions discussing different topics on a two-dimensional map (self-organizing map).

In previous work we have created content-rich search interfaces that implement an aspect of polyrepresentative theory, and are capable of displaying multiple representations of the retrieved documents simultaneously at the results interface.

SCRIPTS represents a large-scale project encompassing multiple underlying technologies: machine translation, cross-lingual information retrieval (similar to a regular search engine except that the query is one language, and the retrieved documents are in another), text summarization, and speech and text processing.