writeup

writeup/P2 Proposal.aux

@@ -3,7 +3,6 @@
 \citation{corney}
 \citation{janzenxiang}
 \citation{truyen}
-\citation{russelnorvig}
 \citation{murphy}
 \bibstyle{plain}
 \bibdata{p2refs}

writeup/P2 Proposal.log

@@ -1,4 +1,4 @@
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@@ -212,7 +212,7 @@ e
 File: bayes.png Graphic file (type png)
  <use bayes.png>
 
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writeup/P2 Proposal.tex

@@ -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