ABSTRACT. The paper presents SIAMOA, a system dedicated for design, debugging and visualisation of algorithms. It combines elements of an algorithm visualisation system and an envi...
Frederic Van de Veire, Przemyslaw Szmal, Jaroslaw ...
We report on the development of a new automatic feedback model to improve information retrieval in digital libraries. Our hypothesis is that some particular sentences, selected ba...
Patrick Ruch, Imad Tbahriti, Julien Gobeill, Alan ...
Abstract. In this paper we study the performance of linguisticallymotivated conflation techniques for Information Retrieval in Spanish. In particular, we have studied the applicat...
In document retrieval using pseudo relevance feedback, after initial ranking, a fixed number of top-ranked documents are selected as feedback to build a new expansion query model. ...
As one of the most effective query expansion approaches, local feedback is able to automatically discover new query terms and improve retrieval accuracy for different retrieval ...