Sökning: "Video-On-Demand"

Visar resultat 11 - 15 av 91 uppsatser innehållade ordet Video-On-Demand.

1. 11. What keeps customers subscribing to streaming services? : A Quantitative Study of E-Loyalty towards Subscription Video on Demand Services in Sweden

   Kandidat-uppsats, Uppsala universitet/Företagsekonomiska institutionen

   Författare :Louise Bennhult; Hanna Frogner; [2021]
   Nyckelord :E-loyalty; subscription video on demand SVOD ; e-satisfaction; e-trust; switching barriers; website quality; customization;

   Sammanfattning : E-loyalty is an important aspect for practitioners to understand as it determines a digital company’s success. The Subscription Video on Demand (SVOD) industry is rapidly growing and becoming more competitive, which emphasizes the need to understand the key determinants of e-loyalty towards them. LÄS MER

3. 12. Perceived Values of Subscription Video on Demand Services : A multiple case study exploring perceived values’ influence on decision-making when selecting subscription video on demand services

   Kandidat-uppsats, Jönköping University/IHH, Företagsekonomi

   Författare :Felix Ekeroth; Viktor Sandoff; Dennis Oskarsson; [2021]
   Nyckelord :Subscription Video on Demand; Perceived Value; Attributes; Consequences; Values;

   Sammanfattning : Background: With great developments within technology and internet provision, subscription video on demand (SVoD) has made a remarkable entrance with a competitiveness which has resulted in a shift in the television industry (Noh, 2020). The user pays a monthly fee and gets access to a platform which offers a library of content. LÄS MER

4. 13. Persistence of Preference- Based Customer Segments : An investigation of cluster evolution

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Sara Almström; [2021]
   Nyckelord :Cluster evolution; Cluster persistence; Customer segmentation; Streaming services; Video-on-demand; Television; Kluster-evolution; Kluster-beständighet; Kundsegmentering; Strömningstjänster; Video-på-begäran; Television;

   Sammanfattning : Clustering is a technology within unsupervised learning with a wide range of applications. Several of these applications use data that change over time, which makes clusters’ persistence of interest. One among these employments of clustering time-variant data is preference based customer segmentation. LÄS MER

5. 14. Classification of Affective Emotion in Musical Themes : How to understand the emotional content of the soundtracks of the movies?

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Paula Diaz Banet; [2021]
   Nyckelord :Music emotion recognition; Deep learning; Feature extraction; VGGish; Mel-frequency Cepstral Coefficients.; Music emotion recognition; Deep learning; Särdragsextraktion; VGGish; Mel-frequency Cepstral Coefficients;

   Sammanfattning : Music is created by composers to arouse different emotions and feelings in the listener, and in the case of soundtracks, to support the storytelling of scenes. The goal of this project is to seek the best method to evaluate the emotional content of soundtracks. LÄS MER

7. 15. Machine Learning Modeling using Heterogeneous Transfer Learning in the Edge Cloud

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Fernando Garcia Sanz; [2021]
   Nyckelord :Deep learning; Edge cloud; Heterogeneous transfer learning; Machine Learning; Service performance; ; Deep learning; Edge cloud; heterogen överföringsinlärning; maskininlärning; serviceprestanda; ;

   Sammanfattning : The dynamic nature of the edge cloud and future network infrastructures is another challenge to be added when modeling end-to-end service performance using machine learning. That is, a model that has been trained for one specific environment may see reductions in prediction accuracy over time due to e.g., routing, migration, or scaling decisions. LÄS MER