Essays about: "Video-på-begäran"

Found 3 essays containing the word Video-på-begäran.

  1. 1. Improving Recommender Engines for Video Streaming Platforms with RNNs and Multivariate Data

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Daniel Pérez Felipe; [2022]
    Keywords : Recurrent neural networks; Recommender systems; Video on demand; Clustering methods; Återkommande neurala nätverk; Rekommendationssystem; Video på begäran; Klustermetoder; Redes neuronales recurrentes; Sistemas de recomendación; Vídeo bajo demanda; Métodos de clustering;

    Abstract : For over 4 years now, there has been a fierce fight for staying ahead in the so-called ”Streaming War”. The Covid-19 pandemic and its consequent confinement only worsened the situation. In such a market where the user is faced with too many streaming video services to choose from, retaining customers becomes a necessary must. READ MORE

  3. 2. Persistence of Preference- Based Customer Segments : An investigation of cluster evolution

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

    Abstract : 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. READ MORE

  4. 3. Motion Feature Extraction of Video and Movie Data

    University essay from KTH/Numerisk analys, NA

    Author : Marcel Müglich; [2017]
    Keywords : ;

    Abstract : Since the Video on Demand market grows at a fast rate in terms of available content and user numbers, the task arises to match personal relevant content to each individual user. This problem is tackled by implementing a recommondation system which finds relevant content by automatically detecting patterns in the individual user’s behaviour. READ MORE