Client Behaviour Prediction in a Proactive Video Server

P. Kárpáti (Austria), A. Kocsor (Hungary), and L. Böszörményi (Austria)

Keywords

Proactive, VideoonDemand, ADMS, Client Behaviour Prediction, Ranking

Abstract

We present a possibility how to add proactive behaviour to Video-on-Demand systems. To do so we propose categorizing videos and using external information as well as observing the behaviour of our clients. We examined 23 predictor functions on artificial and real datasets using different similarity measures to compare them. Our model is quite simple; therefore some extensions are proposed at the end.

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