Altruistic behaviours-based recommendation system of tourist information from smartphone application to SNS community
by Takumi Ichimura; Takuya Uemoto; Shin Kamada
International Journal of Computational Intelligence Studies (IJCISTUDIES), Vol. 6, No. 4, 2017

Abstract: We have already developed the recommendation system of sightseeing information on SNS by using smartphone based user participatory sensing system. Our smartphone application can collect tourist subjective data which includes jpeg files with GPS, geographic location name, the evaluation, and comments written in natural language at sightseeing spot. The system can post the attractive information for tourists to the specified Facebook page directly by our developed smartphone application. Moreover, the system can recommend the sightseeing spot and the local food corresponded to the user's feeling which can be estimated at the sightseeing spot by emotion generating calculations (EGC). The users in Facebook, who are interested in sightseeing, can come to crowd the posted articles at the cyber space. However, the current activities in the SNS community are only supported by the specified people called a hub. We proposed the method of vitalisation of tourist behaviors to give a stimulus to the Facebook users. We developed the simulation system for multi-agent system with altruistic behaviors inspired by the army ants. The army ant takes feeding action with altruistic behaviours to suppress selfish behaviour to a common object. In this paper, we introduced the altruism behaviour determined by some simulation to vitalise the SNS community. The efficiency of the revitalisation process of the community was investigated by some experimental simulation results.

Online publication date: Mon, 29-Jan-2018

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