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dkohl
2012-03-12 16:09:30 -04:00
parent 07ff504781
commit 7011cbae5f
4 changed files with 18 additions and 17 deletions

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@@ -70,15 +70,20 @@ recipes to XML format for input into our application.
We will gathered data representing several diners' preference for
approximately 20 meals using a simple survey of the type 'rate on a
scale of 1 to 10, 10 being favorite and 1 being least favorite'.
Furthermore we collected data for vegetarians and vegans.
Furthermore we collected data for vegetarians and allergies.
%daniel is here
\paragraph*{Knowledge Engineering}
We will model each individual user's preferences and needs
as a Bayesian network, which means a set of independence and
conditional independence relationships between variables
\cite{russelnorvig}.
We model users' preferences using
a bayes net. In the first layer in Figure \ref{img:bayes_net}
we capture controll variables like vegan or allergies.
Those are modeled as boolean variables.
If the user is allergic or a vegetarian, it will set the variable allergic
to 0.
In order to model
Our model consists of 4 layers,
each modeling a different aspect of taste and needs.
In the first layer we capture general meal preferences, like