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User profiling for pre-fetching or caching in a catch-up TV network
RISE - Research Institutes of Sweden, ICT, Acreo.
RISE, Swedish ICT, Acreo.
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2016 (English)In: IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB, 2016Conference 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. © 2016 IEEE.

Place, publisher, year, edition, pages
2016.
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: 9781467390446 OAI: oai:DiVA.org:ri-35417DiVA, id: diva2:1258042
Conference
2016 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2016, 1 June 2016 through 3 June 2016
Available from: 2018-10-23 Created: 2018-10-23 Last updated: 2018-10-23Bibliographically approved

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CiteExportLink to record
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  • apa
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