13hannes11/bachelor_thesis
1
0
Fork 0
mirror of https://github.com/13hannes11/bachelor_thesis.git synced 2024-09-04 01:11:00 +02:00
Code Issues Projects Releases Wiki Activity

remove todos that will not be fixed

Browse Source
This commit is contained in:
hannes.kuchelmeister
2020-05-09 14:34:46 +02:00
parent 5ff6696b8f
commit 31616e3fb3
2 changed files with 2 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
30_Thesis/sections/40_concept.tex
View File

@@ -103,7 +103,7 @@ The evaluation is done solely with the recommender system and its APIs. Thus, th
\section{Case Study} \section{Case Study}
\label{sec:Concept:CaseStudy} \label{sec:Concept:CaseStudy}
The case study used in this thesis is a simplified version from forestry \todo[]{hier evtl ergänzen: wo kommt der Use Case her / aus welchem Forschungsprojekt / warum ist er interessant?}. The case study used in this thesis is a simplified version from forestry.
The used characteristics and attributes are shown in \autoref{fig:Concept:ForestExample}. Additionally, as examples preferences, a configuration state and a finished configuration are given. The used characteristics and attributes are shown in \autoref{fig:Concept:ForestExample}. Additionally, as examples preferences, a configuration state and a finished configuration are given.
\newpage \newpage

2
30_Thesis/sections/60_evaluation.tex
View File

@@ -8,7 +8,7 @@ In this chapter the prototype is evaluated in terms of its functionality and its
\section{Metric} \section{Metric}
\label{sec:Evaluation:Metrics} \label{sec:Evaluation:Metrics}
A metric is required to carry out the validation. The proposed metric is the metric of satisfaction. This metric was created because pertinent literature does not provide metrics usable for this thesis. Satisfaction is quantified in this thesis by a threshold metric. A user's preference is used to calculate a rating for each possible solution. Each configuration solution gets an individual score determined by the user's preferences. The score is calculated using the average of a user's preference for each characteristic that is part of the configuration. The result allows a configuration to be compared to all other configurations and ranked according to the percentage of configurations that it beats for a specific user. The threshold metric consists of two parameters. First the threshold center $tc$ and second the satisfaction distance $sd$. The threshold for a satisfied person is at $tc + sd$ and for a dissatisfied person is at $tc - sd$. If a recommendation lies in between these two thresholds the person is classified to neither be satisfied nor be dissatisfied with the solution. For this thesis $sd=5\%$ will be used. This choice is based on the assumption that people switch from satisfied to dissatisfied rather quickly \todo{find a source psychology}. Therefore, the parameter considered in this thesis is $tc$. An example is the choice of $tc = 60\%$. This results in a person satisfied with a recommendation if it is better than at least $65\%$ of all possible finished configurations. In contrast, a person is dissatisfied if the recommendation is not better than $55\%$ of all possible finished configurations. A recommendation that is better than at least $55\%$ and not better than $65\%$ of all possible solutions is considered neutral by the individual. A metric is required to carry out the validation. The proposed metric is the metric of satisfaction. This metric was created because pertinent literature does not provide metrics usable for this thesis. Satisfaction is quantified in this thesis by a threshold metric. A user's preference is used to calculate a rating for each possible solution. Each configuration solution gets an individual score determined by the user's preferences. The score is calculated using the average of a user's preference for each characteristic that is part of the configuration. The result allows a configuration to be compared to all other configurations and ranked according to the percentage of configurations that it beats for a specific user. The threshold metric consists of two parameters. First the threshold center $tc$ and second the satisfaction distance $sd$. The threshold for a satisfied person is at $tc + sd$ and for a dissatisfied person is at $tc - sd$. If a recommendation lies in between these two thresholds the person is classified to neither be satisfied nor be dissatisfied with the solution. For this thesis $sd=5\%$ will be used. This choice is based on the assumption that people switch from satisfied to dissatisfied rather quickly. Therefore, the parameter considered in this thesis is $tc$. An example is the choice of $tc = 60\%$. This results in a person satisfied with a recommendation if it is better than at least $65\%$ of all possible finished configurations. In contrast, a person is dissatisfied if the recommendation is not better than $55\%$ of all possible finished configurations. A recommendation that is better than at least $55\%$ and not better than $65\%$ of all possible solutions is considered neutral by the individual.
Different $tc$ values allow to model different situations. A situation with a low willingness to compromise is modelled by a high $tc$. A contrary situation with a group that has a high willingness to compromise is modelled by a low $tc$. Different $tc$ values allow to model different situations. A situation with a low willingness to compromise is modelled by a high $tc$. A contrary situation with a group that has a high willingness to compromise is modelled by a low $tc$.