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Summary: On the Construction of TV Viewer Stereotypes Starting
from Lifestyles Surveys1
Cristina Gena and Liliana Ardissono
Dipartimento di Informatica, Università di Torino
Corso Svizzera 185; I-10149 Torino, Italy
{cgena, liliana@di.unito.it}
Abstract. This paper describes how a user modeling knowledge base for
personalized TV servers can be generated starting from an analysis of lifestyles
surveys. The aim of this research is the construction of well-designed
stereotypes for generating adaptive electronic program guides (EPGs) which
filter the information about TV events depending on the user's interests.
INTRODUCTION
With satellite and cable TV, the convergence of TV and Internet and the advent of
digital networks, the offer of TV channels will dramatically increase, overloading
users such as in the WWW. In this scenario, personalized filtering techniques are
essential to reduce the huge number of broadcasted programs; see [7] for references to
the related work. This paper describes the design of a knowledge base for user
modeling starting from an analysis of lifestyles surveys. The work is part of a more
extensive research for the development of a system generating adaptive EPGs. The
system includes a User Modeling Component which exploits alternative strategies to
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