Both implicit and explicit feedbacks are used to
adjust user profile (see also Gawinecki, Vetulani, et al., 2005). Note here, that in
most recommender systems stereotyping is the method of information filtering (demographic
filtering); thus making such systems rather rigid??”in this case individual
user preferences cannot be properly modeled and modified (Kobsa et al., 2001). In
our system we use stereotyping only to solve the cold-start problem??”and modify
them over time??”and thus avoid the rigidity trap.
User profile is utilized by the PA to rank and filter travel objects. Let us assume that
after the query, the response preparation process has passed all stages and in the last
one the PIA agent has completed its work and the MRS has been delivered to the
PA. The PA has now to compute a temperature of each travel object that is included
in the MRS. The temperature represents the ???probability??? that a given object is a
???favorite??? of the user. This way of calculating the importance of selected objects
Figure 12. Construction of final response: Interactions between features
Ut l z ng Semant c Web and Software Agents n a Travel Support System
Copyright ?© 2007, Idea Group Inc.
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