In this paper we present a method for reformulating the Recommender Systems problem in an Information Retrieval one. In our tests we have a dataset of users who give ratings for s...
We compare two methods for retrieval from multimodal collections. The first is a score-based fusion of results, retrieved visually and textually. The second is a two-stage method ...
Avi Arampatzis, Konstantinos Zagoris, Savvas A. Ch...
Abstract. Pervasive computing creates possibilities for presenting highly personalised information about the people, places and things in a building. One of the challenges for such...
A Machine Translation (MT) system is an automatic process that translates from one human language to another language by using context information. We evaluate the use of an MT-ba...
Mohammed Aljlayl, Ophir Frieder, David A. Grossman
Typical content-based image retrieval (CBIR) solutions with regular Euclidean metric usually cannot achieve satisfactory performance due to the semantic gap challenge. Hence, rele...