ID  - ba:rahmouni
T1  - Evaluating Personalised Website Ranking Using Small Scale User Feedback: A User Study
A1  - Rahmouni, Khalil
Y1  - 2018
M1  - Bachelor Thesis
T2  - TU Darmstadt, Knowledge Engineering Group
UR  - https://www.ke.tu-darmstadt.de/lehre/arbeiten/bachelor/2018/Rahmouni_Khalil.pdf
N2  - This thesis evaluates the ranking quality of a web browser extension search engine that uses explicit
relevance feedback to learn a personalized model. A user study is conducted to collect a small scale data
that will be used in the evaluation process and the comparison with classi?cation SVM and SVM Rank.
We conclude that the learned personalized model enhances the ranking performance and outperforms
the original rank, classi?cation SVM and SVM Rang in a small-scale data.
M1  - betreuer={ELM}
ER  -