Filtering Order Adaptation Based on Attractor Selection for Data Broadcasting System

Recent spread of various data broadcasting services leads to provide enormous and various data. Since, data that a client needs are a part of them, there has been an increasing interest in information filtering techniques where a client automatically chooses and stores the necessary data. Generally, when a client performs filtering, it applies some filters sequentially and the time required for filtering changes according to the order of filters. On the other hand,in recent years, there have been many studies about attractor selection which is an autonomous parameter control technique based on the knowledge from living organisms.In this paper, in order to reduce the load for filtering, we propose a novel method which adaptively changes the order of filters according to the change in broadcast contents.This method adaptively decides the control parameters for filtering by using attractor selection.