Inferring the score distribution of relevant and non-relevant documents is an essential task for many IR applications (e.g. information filtering, recall-oriented IR, meta-search,...
Out of vocabulary (OOV) words are problematic for cross language information retrieval. One way to deal with OOV words when the two languages have different alphabets, is to trans...
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...
In this paper we describe our participation in the 2010 CLEF-IP Prior Art Retrieval task where we examined the impact of information in different sections of patent documents, nam...
Web entities, such as documents and hyperlinks, are created for different purposes, or intents. Existing intent-based retrieval methods largely focus on information seekers’ int...