The majority of the current information retrieval models weight the query concepts (e.g., terms or phrases) in an unsupervised manner, based solely on the collection statistics. I...
Our participation in the ImageCLEF Wikipedia retrieval task aims to study the efficiency of using two contextual factors in image retrieval: metadata which contains specific infor...
Hatem Awadi, Mouna Torjmen Khemakhem, Maher Ben Je...
Image retrieval on the Web requires that important (authoritative) images satisfying the query selection criteria are assigned higher ranking over other relevant images. PicASHOW ...
Epimenidis Voutsakis, Euripides G. M. Petrakis, Ev...
Ranking search results is a fundamental problem in information retrieval. In this paper we explore whether the use of proximity and phrase information can improve web retrieval ac...
In this paper, we exploit a novel ranking mechanism that processes query samples with noisy labels, motivated by the practical application of web image search re-ranking where the...