Recommendation is usually reduced to a prediction problem over the function
$r(u_a, e_i)$ that returns the expected rating of element $e_i$ for user $u_a$.
In the IPTV domain, we deal with an environment where the definitions of all
the parameters involved in this function (i.e., user profiles, feedback ratings
and elements) are controversial.
The present work investigates the structural and dynamical properties of
aNobii\footnote{this http URL}, a social bookmarking system designed
for readers and book lovers. Users of aNobii provide information about their
library, reading interests and geographical location, and they can establish
typed social links to other users. Here, we perform an in-depth analysis of the
system's social network and its interplay with users' profiles.