In case of our hypothetical customer, both pool and exercise room will be assigned
large weights, while features that user is not particularly interested in (e.g., availability
of ironing board??”see Figure 9) will be assigned small weight??”the lesser
the interest is the closer to 0 the value will be. In the case of features about which
we do not know anything about users??™ preferences, no value will be assigned (see
Figure 11. Overlay model utilized to represent user profile
Ganzha, Gawinecki, Paprzycki, G?…siorowski, Pisarek, and Hyska
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Figure 11). Let us observe that in this approach we are mimicking the notion of
probability??”all assigned values are from the interval (0, 1). This means that even in
the case of strong counter preference towards a given feature we will assign value 0
(there are no negative values available). Proceeding in this described way, we will
create a special instance of hotel ontology, one that represents user-hotel-profile.
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