The rise of social interactions on the Web requires developing new methods of information organization and discovery. To that end, we propose a generative community-based probabil...
The number of web pages available on Internet increases day after day, and consequently finding relevant information becomes more and more a hard task. However, when we consider ...
Aliaksandr Birukou, Enrico Blanzieri, Paolo Giorgi...
Relevance feedback (RF) is an iterative process, which refines the retrievals by utilizing the user's feedback on previously retrieved results. Traditional RF techniques solel...
Peng-Yeng Yin, Bir Bhanu, Kuang-Cheng Chang, Anlei...
We propose a novel collaborative recommendation approach to take advantage of the information available in user-created lists. Our approach assumes associations among any two item...
This paper presents our bilingual question-answering system MUSCLEF. We underline the difficulties encountered when shifting from a mono to a cross-lingual system, then we focus o...