An Approach of User Community Preference Discovery Applied in IPTV Personalized Interactive Services

Author

Liu, Fang ; Zhang, Naiqian ; Cao, Sanxing ; Lu, Rui

Author_Institution

Sch. of Inf. Eng., Commun. Univ. of China, Beijing, China

fYear

2009

fDate

20-22 Sept. 2009

Firstpage

1

Lastpage

4

Abstract

While the development of converged networks has led to the rapid increasing of IPTV content and service complexity, it is more and more difficult for IPTV subscribers to find in time the media content that they desire, thus effecting the consumption of IPTV media content service. This paper proposes a user community preference discovery strategy based on ant colony clustering algorithm, and presents the system solution to satisfy users´ personalized service demands. The effectiveness of the proposed approach is verified via simulation experiments.

Keywords

IPTV; communication complexity; optimisation; pattern clustering; IPTV media content service; IPTV personalized interactive services; IPTV subscribers; ant colony clustering algorithm; service complexity; user community preference discovery approach; Broadband communication; Clustering algorithms; Concrete; Explosions; IPTV; Multimedia systems; Particle swarm optimization; Streaming media; Uncertainty; Web and internet services;

fLanguage

English

Publisher

ieee

Conference_Titel

Management and Service Science, 2009. MASS '09. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4638-4

Electronic_ISBN

978-1-4244-4639-1

Type

conf

DOI

10.1109/ICMSS.2009.5301222

Filename

5301222