Information Technology Reference
In-Depth Information
Table 3.1 presents a summary of the different personalization systems that have
served as a basis for the discussion that led to our proposal.
Table 3.1.
Comparative study of personalization systems at the origin of the proposal
[ANL 06a] ([FC]: collaborative filtering; [P]: profile-based filtering;
[C]: contextual filtering; and [RC]: community recommendation)
Two approaches can be distinguished for the construction of personalization
systems.
The first approach consists in providing an interactive system that itself (
ad hoc
)
incorporates personalization, such as IFM, RESCUER and SmartRadio. These
systems generally appear as software agents (see Letizia, IFWeb, Concall,
InfoSleuth, Gulliver's Genie, WebMate and MAPIS), which ensure search, filtering
and information presentation functions. These systems have the advantage of being
directly in contact with the user, which facilitates the collection of data regarding
