Traditional adaptive filtering systems learn the user’s interests in a rather simple way – words from relevant documents are favored in the query model, while words from irre...
The problem of results merging in distributed information retrieval environments has been approached by two different directions in research. Estimation approaches attempt to cal...
Georgios Paltoglou, Michail Salampasis, Maria Satr...
In this paper, we propose a pseudo-relevance feedback method to deal with the photographic retrieval and medical retrieval tasks of ImageCLEF 2007. The aim of our participation to...
In participating in this CLEF evaluation campaign, our first objective is to propose and evaluate various indexing and search strategies for the Russian language, in order to obta...
This paper describes our first participation in the Indian language sub-task of the main Adhoc monolingual and bilingual track in CLEF1 competition. In this track, the task is to...