To the emission reduction activities, use gamification design method to implant resonance and great meaning into mainstream residents’ implicit goals, so that set up the personalized challenging ways to their goals and help them transit to more sustainable lifestyle. For making up a deficiency of the correlated “action A-B” recommendation model, this paper puts forward a new causal “action-personality” data-mining model, and finally establishes an intelligent personalized behavior recommended model to help residents to achieve the emission reduction goals.
CITATION STYLE
Xu, Y., & Tang, Y. (2015). Based on action-personality data mining, research of gamification emission reduction mechanism and intelligent personalized action recommendation model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9180, pp. 241–252). Springer Verlag. https://doi.org/10.1007/978-3-319-20907-4_22
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