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Based on Action-Personality Data Mining, Research of Gamification Emission Reduction Mechanism and Intelligent Personalized Action Recommendation Model

机译:基于行动人格数据挖掘,娱乐减排机制研究和智能个性化行动推荐模型

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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.
机译:减少减排活动,使用群化设计方法将共振和巨大意义植入主流居民的​​隐式目标,以便为其目标设立个性化的具有挑战性的方式,并帮助他们过境到更可持续的生活方式。为了弥补相关的“动作AB”推荐模式的缺陷,本文提出了一种新的因果关系“动作人格”数据挖掘模式,最后建立了一个智能个性化行为推荐模型,以帮助居民实现减排目标。

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