Sökning: "Flygresor.se"

Visar resultat 1 - 5 av 9 uppsatser innehållade ordet Flygresor.se.

  1. 1. Optimizing Flight Ranking:A Machine Learning Approach : Applying Machine Learning to Upgrade Flight Sorting and User Experience

    M1-uppsats, KTH/Hälsoinformatik och logistik

    Författare :Habib Jabeli; [2024]
    Nyckelord :Machine Learning; Flight Comparison; Flygresor.se; Neural Networks; Flight Ranking; Random Forest; XGBoost;

    Sammanfattning : Flygresor.se, a leading flight comparison platform, uses machine learning to rankflights based on their likelihood of being clicked. The main goal of this project was toimprove this flight sorting to obtain a better user experience. The platform's existingmodel is based on a neural network approach and a limited set of features. LÄS MER

  3. 2. GDPR ́s Impact on Sales at Flygresor.se: A Regression Analysis

    Kandidat-uppsats, KTH/Matematisk statistik

    Författare :Lisette Lansryd; Madeleine Engvall Birr; [2019]
    Nyckelord :Bachelor Thesis; GDPR; Regression Analysis; Multiple Linear Regression; Categorical Variables; Flygresor.se; Kandidat examensarbete; Multipel Linjär Regression; GDPR; Regressionsanalys; Kategoriska Variabler; Flygresor.se;

    Sammanfattning : The possible effects of the General Data Protections Regulations (GDPR) have been widely discussed among policymakers, stakeholders and ordinary people who are the objective for data collection. The purpose of GDPR is to protect people’s integrity and increase transparency for how personal data is used. LÄS MER

  4. 3. Datautvinning av klickdata : Kombination av klustring och klassifikation

    M1-uppsats, KTH/Hälsoinformatik och logistik

    Författare :Xianjie Zhang; Sebastian Bogic; [2018]
    Nyckelord :Data analysis; data mining; clustering; classification; DBSCAN; k-nearest neighbor; click data; Dataanalys; datautvinning; klustring; klassifikation; DBSCAN; k-nearest neighbor; klickdata;

    Sammanfattning : Ägare av webbplatser och applikationer tjänar ofta på att användare klickar på deras länkar. Länkarna kan bland annat vara reklam eller varor som säljs. Det finns många studier inom dataanalys angående om en sådan länk kommer att bli klickad, men få studier fokuserar på hur länkarna kan justeras för att bli klickade. LÄS MER

  5. 4. Factors Affecting the Conversion Rate in the Flight Comparison Industry: A Logistic Regression Approach

    Kandidat-uppsats, KTH/Matematisk statistik

    Författare :Yousef Aho; Johannes Persson; [2018]
    Nyckelord :;

    Sammanfattning : Using logistic regression, we aim to construct a model to examine the factors that are most influential in affecting user behavior on the flight comparison site flygresor.se. LÄS MER

  7. 5. Factors affecting the proportion of smartphone usage at Flygresor.se

    Kandidat-uppsats, KTH/Matematisk statistik

    Författare :Gabriella Andersson; Louise Karlsson; [2017]
    Nyckelord :;

    Sammanfattning : Digitization has changed the way people access the internet. Smartphones is soon to be the preferred internet access device leading us into a new generation of e-commerce, namely mobile commerce or m-commerce. The on-going transition, from desktop to smartphone has led to an uprising problem for companies within the area of e-commerce. LÄS MER