Copyright 1997 INIST-CNRS CC BY 4.0 Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Sciences of information and communication. Documentation
FRANCIS
Accession Number:
edscal.2484573
Database:
PASCAL Archive
Weitere Informationen
This paper describes and evaluates a retrieval scheme, or more precisely an additional retrieval mechanism based on interdocument relationships, that can be integrated in almost all existing retrieval schemes (e.g., Boolean, hybrid Boolean, vector-processing or probabilistic models). The intent of our approach consists of inferring knowledge about document contents based on the learning process, our scheme establishes relevance links between documents found relevant for the same request. Based on this information and a list of proposed mechanism tries to improve the ranking of satisfy user intent. The underlying hypothesis of this mechanism states that future requests addressed to the system should have some degree of similarity with previous queries, or that the retrieval apparatus will process requests for which it has already found a partial, appropriate answer in the past.
