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User profiling for pre-fetching or caching in a catch-up TV network
Lund University, Sweden.
Ericsson AB, Sweden.
RISE - Research Institutes of Sweden, ICT, Acreo.
RISE, Swedish ICT, Acreo.
Show others and affiliations
2016 (English)In: 2016 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), 2016, article id 7521984Conference paper, Published paper (Refereed)
Abstract [en]

We investigate the potential of different pre-fetching and/or caching strategies for different user behaviour with respect to surfing or browsing in a catch-up-TV network. To this end we identify accounts and channels associated with strong or weak surfing or browsing respectively and study the distributions of hold times for the different types of behaviour. Finally we present results from a request prediction model and a caching simulation for the different types of behaviour and find that the results are relatively similar.

Place, publisher, year, edition, pages
2016. article id 7521984
Keywords [en]
Multimedia systems, Caching strategy, Hold time, Prediction model, Prefetching, User behaviour, User profiling, Behavioral research
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-35417DOI: 10.1109/BMSB.2016.7521984Scopus ID: 2-s2.0-84982133121ISBN: 978-1-4673-9044-6 (electronic)OAI: oai:DiVA.org:ri-35417DiVA, id: diva2:1258042
Conference
2016 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB 2016), June 1-3, 2016, Nara, Japan
Available from: 2018-10-23 Created: 2018-10-23 Last updated: 2019-06-26Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • Other locale
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Output format
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