One of the central issues in learning to rank for information retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures used in i...
We study the usefulness of intermediate semantic concepts in bridging the semantic gap in automatic video retrieval. The results of a series of large-scale retrieval experiments, w...
Abstract. The vector-space retrieval model and Latent Semantic Indexing approaches to retrieval have been used heavily in the field of text information retrieval over the past yea...
We research whether the inclusion of information about an information user's social environment and his position in the social network of his peers leads to an improval in sea...
Sebastian Marius Kirsch, Melanie Gnasa, Armin B. C...
Abstract. This paper examines the current way of keeping the data produced during the evaluation campaigns and highlights some shortenings of it. As a consequence, we propose a new...
Maristella Agosti, Giorgio Maria Di Nunzio, Nicola...