Relevance feedback is the state-of-the-art approach for adjusting query results to the needs of the users. This work extends the existing framework of image retrieval with relevan...
Euripides G. M. Petrakis, Klaydios Kontis, Epimeni...
In the context of information retrieval, traditional collection selection algorithms have been widely studied. These algorithms utilize language models, a representation of the co...
Gary A. Monroe, James C. French, Allison L. Powell
In this paper, we propose to use database technology to improve performance of web proxy servers. We view the cache at a proxy server as a web warehouse with data organized in a h...
An adaptive recommendation service seeks to adapt to its users, providing increasingly personalized recommendations over time. In this paper we introduce the \Fab" adaptive W...
Abstract. We present a dialogue system that enables the access in natural language to a web information retrieval system. We use a Web Semantic Language to model the knowledge conv...