An expandable recommendation system on IPTV

Authors:
Jie Xiao;Liang He
Affiliations:
Instituation of Computer Aplication, East China Normal University, Shanghai, China;Instituation of Computer Aplication, East China Normal University, Shanghai, China
Venue:
ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part II
Year:
2012

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Abstract

IPTV's mass resources, high quality service and its open and free interactive service mode attract billons of user. It has brilliant potential and also has great challenge. Traditional one algorithm supported recommendation system is no longer content IPTV's huge service demand. In order to solve this problem, an expandable recommendation system is proposed in this paper. It contains new flexible system framework and basic ideas of applicable algorithms. And it has been implemented in real IPTV system and works well.