Researchers from the same lab often spend a considerable amount of time searching for published articles relevant to their current project. Despite having similar interests, they c...
Closing the semantic gap in content based image retrieval (CBIR) basically requires the knowledge of the user's intention which is usually translated into a sequence of quest...
Abstract. It the becomes possible that users can get kinds of information by just inputting search keyword(s) representing the topic which users are interested in. But it is not al...
This paper presents a user recommendation system that recommends to a user new friends having similar interests. We automatically discover users’ interests using Latent Dirichle...
In this paper we present a hybrid recommendation system that combines ontological knowledge with content-extracted linguistic information, derived from pre-trained lexical graphs,...
Dorothea Tsatsou, Fotis Menemenis, Ioannis Kompats...