Extraction of Filtering Rules of Tourist Subjective Information by interactive GHSOM and C4.5 and Its sharing system with Twitter

Abstract

We have developed Hiroshima Tourist information Android application called ``Hiroshima Kankou Map'' as smartphone based participatory sensing system. More than 500 subjective data are analyzed by interactive GHSOM and C4.5, and then knowledge related to Hiroshima sightseeing spots are extracted. In this paper, the Android application was improved to send the subjective data with Twitter to construct a mobile social community of Hiroshima tourist. The filtering rules to be tweeted can select the effective tourist information. Moreover, the developed system can retrieve the places where Hiroshima Quest introduces. In this paper, the subjective data from Hiroshima Kankou Map and the tourist information from Hiroshima Quest are analyzed to find a new filtering rule.