User profiling for pre-fetching or caching in a catch-up TV networkVise andre og tillknytning
2016 (engelsk)Inngår i: 2016 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), 2016, artikkel-id 7521984Konferansepaper, Publicerat paper (Fagfellevurdert)
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.
sted, utgiver, år, opplag, sider
2016. artikkel-id 7521984
Emneord [en]
Multimedia systems, Caching strategy, Hold time, Prediction model, Prefetching, User behaviour, User profiling, Behavioral research
HSV kategori
Identifikatorer
URN: urn:nbn:se:ri:diva-35417DOI: 10.1109/BMSB.2016.7521984Scopus ID: 2-s2.0-84982133121ISBN: 978-1-4673-9044-6 (digital)OAI: oai:DiVA.org:ri-35417DiVA, id: diva2:1258042
Konferanse
2016 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB 2016), June 1-3, 2016, Nara, Japan
2018-10-232018-10-232020-12-01bibliografisk kontrollert