TV Viewing Interval Estimation for Personal Preference Acquisition

The importance of personalized information services has been increasing. Description of personal preferences needs to be prepared beforehand to realize such services. We propose a system for automatically acquiring personal preferences from TV viewer's behaviors. Considering "when" a viewer is watching TV is highly related to the viewer's preferences, we focus on estimating the time interval during which a pre-registered viewer is watching TV. In this paper, we firstly describe the outline of the personal preference acquisition system, and address a method for estimating the TV viewing intervals based on the appearance of frontal faces. Experiments resulted in a precision rate of 97.1% and a recall rate of 70.6% on average for TV viewing interval estimation