Abstract. Recommender systems face up to current information overload by selecting automatically items that match the personal preferences of each user. The so-called content-based...
In this paper, we propose a new learning method for extracting bilingual word pairs from parallel corpora in various languages. In cross-language information retrieval, the system...
Abstract. The identification of reliable and interesting items on Internet becomes more and more difficult and time consuming. This paper is a position paper describing our intend...
Browsing and finding pictures in large-scale and heterogeneous collections is an important issue, most particularly for online photo sharing applications. Since such services know...
A central problem in information retrieval is the automated classification of text documents. While many existing methods achieve good levels of performance, they generally require...