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IPTV data reduction strategy to measure real users’ behaviours
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Orientador(es)
Resumo(s)
The digital IPTV service has evolved in terms of features, technology and accessibility of their contents. However, the rapid evolution of features and services has brought a more complex offering to customers, which often are not enjoyed or even perceived.
Therefore, it is important to measure the real advantage of those features and understand how they are used by customers. In this work, we present a strategy that deals directly with the real IPTV data, which result from the interaction actions with the set-top boxes by customers. But this data has a very low granularity level, which is complex and difficult to interpret. The approach is to transform the clicking actions to a more conceptual and representative level of the running activities. Furthermore, there is a significant reduction in the data cardinality, enhanced in terms of information quality. More than a
transformation, this approach aims to be iterative, where at each level, we achieve a more accurate information, in order to characterize a particular behaviour.
As experimental results, we present some application areas regarding the main offered
features in this digital service. In particular, is made a study about zapping behaviour, and also an evaluation about DVR service usage. It is also discussed the possibility to integrate the strategy devised in a particular carrier, aiming to analyse the consumption rate of their services, in order to adjust them to customer real usage profile, and also to study the feasibility of new services introduction.
Descrição
Dissertação para obtenção do Grau de Mestre em
Engenharia Informática
Palavras-chave
IPTV Data stream Complex event processing Data analysis