This paper presents a general framework for building classifiers that deal with short and sparse text & Web segments by making the most of hidden topics discovered from larges...
: Many classification problems involve high dimensional inputs and a large number of classes. Multiclassifier fusion approaches to such difficult problems typically centre around s...
Today ontology languages present a syntax which looks not “natural” and are lacking of built-in primitives (i.e., modeling notions) domain experts are familiar with. In this pa...
Providing accurate personalized information services to the users requires knowing their interests and needs, as defined by their User Models (UMs). Since the quality of the person...
Shlomo Berkovsky, Dan Goldwasser, Tsvi Kuflik, Fra...
Abstract. Classification in genres and domains is a major field of research for Information Retrieval (scientific and technical watch, datamining, etc.) and the selection of app...