C. Subscribers SegmentationAccordin

C. Subscribers Segmentation

According to [11], in the personal recommendation systems

the user needs to be identified by the system to receive

recommendations. As shown in Figure 4, the user needs to

have a profile, because is behind this that the system can do

recommendations.

This paper will consider the personalized recommendation

systems with implicit profile, which is generated from collecting data from users’ responses to CB messages.

Fig. 4. Generic architecture of a recommendation system.

In the approach based on content, the recommended products or items are similar to those already purchased or

used by the client. In these systems should be modeled the

similarity notion between items. This similarity may simply be