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Literatura académica sobre el tema "Expérience de streaming"
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Artículos de revistas sobre el tema "Expérience de streaming"
Dufour, Magali, Louise Nadeau y Sylvie R. Gagnon. "Tableau clinique des personnes cyberdépendantes demandant des services dans les centres publics de réadaptation en dépendance au Québec : étude exploratoire". Santé mentale au Québec 39, n.º 2 (15 de diciembre de 2014): 149–68. http://dx.doi.org/10.7202/1027837ar.
Texto completoPickering, Dylan, Zhenzhen Nong, Sally M. Gainsbury y Alex Blaszczynski. "Consumer Perspectives of a Multi-Venue Gambling Self-Exclusion Program: A Qualitative Process Analysis". Journal of Gambling Issues, n.º 41 (30 de abril de 2019). http://dx.doi.org/10.4309/jgi.2019.41.2.
Texto completoTesis sobre el tema "Expérience de streaming"
Ouazzani, Yacine. "Comparaisons des expériences de consommation vécues dans les sphères réelle et virtuelle à travers la valeur perçue : le cas de la consommation de spectacles d'opéra". Thesis, Université de Lorraine, 2020. http://www.theses.fr/2020LORR0217.
Texto completoThis exploratory investigates and compares the perceived value of the opera consumption experience in theatres and in streaming. The rise of digital technologies now makes it possible for customers to consume the same product through a physical or a virtual channel. The question of competition and of the complementarity of online channels with physical structures has become a key issue for companies and understanding the link between physical and virtual experiences has become a major research issue, all the more that exceptional situations such as the lockdown period caused by the COVID-19 pandemic have shown how important it is for spectators to be able to watch streamed operas. From a theoretical point of view, one may also wonder whether the framework used to apprehend the consumption experience in the real domain is applicable to the virtual domain, given the upheavals that the experience has undergone as a result of the digital revolution. We took an exploratory qualitative approach, followed by a quantitative study to answer these questions. The results obtained indicate a relative convergence between the two perceived values but raise questions about the nature of the audience concerned by streaming. Our research also confirms that perceived value is an antecedent of overall perceived value and behavioral intentions, in both the real and virtual spheres. However, only certain dimensions of the perceived value influence the overall perceived value and/or the behavioral intentions; they differ according to the mode of consumption concerned. Finally, our results confirm that overall perceived value is an antecedent of behavioural intentions in both universes
Tsigkari, Dimitra. "Algorithms and Cooperation Models in Caching and Recommendation Systems". Electronic Thesis or Diss., Sorbonne université, 2022. http://www.theses.fr/2022SORUS210.
Texto completoIn the context of on-demand video streaming services, both the caching allocation and the recommendation policy have an impact on the user satisfaction, and financial implications for the Content Provider (CP) and the Content Delivery Network (CDN). Although caching and recommendations are traditionally decided independently of each other, the idea of co-designing these decisions can lead to lower delivery costs and to less traffic at the backbone Internet. This thesis follows this direction of exploiting the interplay of caching and recommendations in the setting of streaming services. It approaches the subject through the perspective of the users, and then from a network-economical point of view. First, we study the problem of jointly optimizing caching and recommendations with the goal of maximizing the overall experience of the users. This joint optimization is possible for CPs that simultaneously act as CDN owners in today’s or future architectures. Although we show that this problem is NP-hard, through a careful analysis, we provide the first approximation algorithm for the joint problem. We then study the case where recommendations and caching are decided by two separate entities (the CP and the CDN, respectively) who want to maximize their individual profits. Based on tools from game theory and optimization theory, we propose a novel cooperation mechanism between the two entities on the grounds of recommendations. This cooperation allows them to design a cache-friendly recommendation policy that ensures a fair split of the resulting gains
Silverston, Thomas. "Peer-to-Peer video live streaming : measurement experiments and traffic analysis". Paris 6, 2009. http://www.theses.fr/2009PA066303.
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