In this paper we investigate the effectiveness of a documentindependent technique for eliciting feedback from users about their information problems. We propose that such a techni...
This paper presents a Japanese information retrieval method using the dependency relationship between words and semantic and statistical information about them. Our method gives a...
User generated content is characterized by short, noisy documents, with many spelling errors and unexpected language usage. To bridge the vocabulary gap between the user's in...
Wouter Weerkamp, Krisztian Balog, Maarten de Rijke
A common limitation of many retrieval models, including the recently proposed axiomatic approaches, is that retrieval scores are solely based on exact (i.e., syntactic) matching o...
We report on the development of a new automatic feedback model to improve information retrieval in digital libraries. Our hypothesis is that some particular sentences, selected ba...
Patrick Ruch, Imad Tbahriti, Julien Gobeill, Alan ...