We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
— The proliferation of heterogeneous devices, ranging from mobile communication to home electronics and their internetworking have resulted into the development of a "person...
Finding information about people on the Web using a search engine is difficult because there is a many-to-many mapping between person names and specific persons (i.e. referents). ...
Abstract. This paper presents a method to generate unique and nevertheless highly random pseudonyms in a distributed environment. More precisely, each user can now generate his pse...
Abstract. In this paper we present the architecture of an Adaptive Educational Hypermedia System, named INSPIRE. This particular system, throughout its interaction with the learner...
Kyparisia A. Papanikolaou, Maria Grigoriadou, Harr...