Cellular network operators have as main objectives
the personalization of the offered services to their subscribers in
an individual way or for groups with the same preferences. In this
paper a new Personalized Recommendation System Architecture
based on the geographic localization of the cellular users is
described over which different services or solutions can be
offered. For the mechanism of the users data collection, the
Cell Broadcast technology is used, forming groups of users
with similar preferences according association algorithms. This
system also considers different presence levels (available, busy
and absent) of the cellular users as an additional decision factor
for sending or not the recommendation message and using for this
purpose a application server connected to IMS (IP Multimedia
Subsystem). A feedback mechanism based on the user satisfaction
degree is also considered, to improve the efficiency of the system.
Index Terms—Recommendations Systems, Personalized Recommendations,
Cell broadcast, Users Modeling, Location Based
Service.