More
precisely, the user query, after being pre-processed and transformed into an RDQL
query (see Kaczmarek et al., 2005 for more details), is being sent to the DBA. What
is returned is the initial response consisting of a number of tokens that satisfy the
query. This response is being redirected (by the PA) to the PIA to obtain the MRS.
Then the PA utilizes the user profile to: (1) remove from the set responses that do
not belong there (e.g., user is known to be adversely inclined toward Italian food,
and pizza in particular, and thus all of the Italian food serving restaurants have to
be excluded); (2) order the remaining selections in such a way that those that are
believed to be of most interest to the user will be displayed first (e.g., if user is
known to stay in Hilton hotels, they will be displayed first). The statechart diagram
of the PA is contained in Figure 7.
As we can see the PA behaves differently depending if the user is using the system
for the first time or if it is a returning user. In the latter case, the PA will attempt at
gathering explicit feedback related to the information delivered to the user during
the previous session.
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