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With the rapidly growing Internet, the Internet broadcasting and web casting service have been one of the well-known services. Specially, it is expected that the IPTV service will be one of the principal services in the broadband network [2]. However, the current broadcasting environment is served for the general public and requires the passive attitude to consume the TV programs. For the advanced broadcasting environments, various research of the personalized broadcasting is needed. For example, the current unidirectional advertisement provides to the TV viewers the advertisement contents, depending on the popularity of TV programs, the viewing rates, the age groups of TV viewers, and the time bands of the TV programs being broadcast. It is not an efficient way to provide the useful information to the TV viewers from customization perspective. If a TV viewer does not need particular advertisement contents, then information may be wasteful to the TV viewer. Therefore, it is expected that the target advertisement service will be one of the important services in the personalized broadcasting environments. The current research in the area of the target advertisement classifies the TV viewers into clustered groups who have similar preference. The digital TV collaborative filtering estimates the user's favourite advertisement contents by using the usage history [1, 4, 5]. In these studies, the TV viewers are required to provide their profile information such as the gender, job, and ages to the service providers via a PC or Set-Top Box (STB) which is connected to digital TV. Based on explicit information, the advertisement contents are provided to the TV viewers in a customized way with tailored advertisement contents. However, the TV viewers may dislike exposing to the service providers their private information because of the misuse of it. In this case, it is difficult to provide appropriate target advertisement service.

DOI: 10.1007/978-0-387-89024-1_5

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