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Yuan, Jing; Sivrikaya, Fikret; Marx, Stefan; Hopfgartner, Frank (2014)
Publisher: CEUR
Languages: English
Types: Other
Today’s IP-based TV services commonly\ud strive for personalizing their content offers\ud using complex recommendation systems to\ud match their users’ interests. These systems\ud try to capture the relevance of content recommended\ud to a user, which may also depend\ud on many contextual factors such as time, location,\ud or social company. Nevertheless, in\ud most cases, these factors are either omitted or\ud integrated in recommendation systems without\ud a concrete modeling of what different roles\ud each may play on different users’ experiences.\ud Do users really care about all of these specific\ud factors? How do those factors interact\ud with or influence each other? Can this interaction\ud be modeled commonly for all users or\ud is it more specific to the user profile? To the\ud best of our knowledge, answers to these questions\ud have not been studied in detail yet. In\ud this paper, we introduce the results of a questionnaire\ud and a focus group discussion to elaborate\ud on the influence of contextual factors on\ud IP-based TV services from the users’ point-of-view.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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