Sökning: "Platform Features"
Visar resultat 1 - 5 av 459 uppsatser innehållade orden Platform Features.
1. TikTok-influencers: vad är ett vinnande koncept för framgång? En kvalitativ innehållsanalys om olika personliga varumärkesbyggande kommunikationsstrategier samt karaktärsdrag som är framträdande i svenska influencers TikToks
Kandidat-uppsats, Göteborgs universitet/Institutionen för journalistik, medier och kommunikationSammanfattning : Executive summary The purpose of this thesis is to examine the construction of personal brands on influencers on the platform TikTok. Influencers - a very current and relevant phenomenon in today’s society, are gaining more power in the media landscape and have major influence on both social media users and companies. LÄS MER
2. Messages from the deep: A reception study of Denis Villeneuve's Dune
Magister-uppsats, Göteborgs universitet/Institutionen för kulturvetenskaperSammanfattning : This essay uses Pierre Bourdieus habitus, symbolic capital, Social fields, Stuart Halls representation theory and Encoding/Decoding system, as well as Henry Jenkins concept of convergence culture and media convergence, to conduct a reception study of Denis Villeneuves 2021 adaption of the science fiction movie Dune. The material collected for the reception study is collected in the form of reviews and features from experts in cinema, juxtaposed against material collected from YouTube in the form of reviews, reaction videos and video essays from social groups sectioned around cinephiles and science fiction fandom. LÄS MER
3. Optimizing Flight Ranking:A Machine Learning Approach : Applying Machine Learning to Upgrade Flight Sorting and User Experience
M1-uppsats, KTH/Hälsoinformatik och logistikSammanfattning : 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
4. Multi-Parameter Modelling of Surface Electromyography Data
Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknikSammanfattning : Ytelektromyografi (sEMG) mäter skelettmuskelfunktionen genom att registrera muskelaktivitet från hudens yta. Tekniken kan användas för att diagnostisera neuromuskulära sjukdomar och som ett hjälpmedel vid rehabilitering, biomedicinsk forskning och för interaktion mellan människa och dator. LÄS MER
5. Detecting Fraudulent User Behaviour : A Study of User Behaviour and Machine Learning in Fraud Detection
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Analys och partiella differentialekvationerSammanfattning : This study aims to create a Machine Learning model and investigate its performance of detecting fraudulent user behaviour on an e-commerce platform. The user data was analysed to identify and extract critical features distinguishing regular users from fraudulent users. LÄS MER