Document (#16324)

Author

Savoy, J.

Title

¬A new probabilistic scheme for information retrieval in hypertext

Source

New review of hypermedia and multimedia. 1995, no.1, S.107-134

Year

1995

Abstract

The aim of probabilistic models is to define a retrieval strategy within which documents can be optimally ranked according to their relevance probability with respect to a given request. Presents a study which suggests representing documents not only by index term vendors, as proposed by previous probabilistic models but also by considering relevance hypertext links. To enhance retrieval effectiveness, the learning retrieval scheme should modify the weight assigned to each indexing terms, the importance attached to each search term, and the relationships between documents. Evaluation of the proposed retrieval scheme with a hypertext based on the CACM test collection which includes 3.204 documents and the CISI corpus (1,460 documents), yields interesting results on the retrieval effectiveness of this approach

Theme

Hypertext

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5. Wong, S.K.M.: On modelling information retrieval with probabilistic inference (1995) 0.24

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