Information retrieval evaluation has typically been performed over several dozen queries, each judged to near-completeness. There has been a great deal of recent work on evaluatio...
Ben Carterette, Virgiliu Pavlu, Evangelos Kanoulas...
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
The application of nlp techniques to improve the results of information retrieval is still considered as a controversial issue, whereas nlp techniques in cross-language informatio...
Translating documents from a source to a target language is a repetitive activity. The attempt to automate such a difficult task has been a long-term scientific dream. Among the...
Federica Mandreoli, Riccardo Martoglia, Paolo Tibe...
Abstract. This paper proposes an expert peering system for information exchange. Our objective is to develop a real-time search engine for an online community where users can ask e...