基于人工心理线索的虚拟社区营销优化系统  

Virtual Community Marketing Optimizing System based on Artificial Psychological Clues

作　　者：王翠玲[1] 

机构地区：[1]烟台职业学院信息工程系,山东烟台264670

出　　处：《西安文理学院学报（自然科学版）》2016年第4期48-52,共5页Journal of Xi’an University(Natural Science Edition)

摘　　要：社区营销面临着平面化海量数据与消费者信任缺失等问题.针对上述问题,提出了基于人工心理线索的社区营销优化系统.该系统中建立了个人与群体人工心理模型;通过对社区主题的纵向挖掘和发散评论的横向挖掘,运用朴素贝叶斯分类法构建特定营销活动的人工心理线索;最终通过客户心理演化模型,进行营销优化.仿真实验证明,该系统能够高效地发掘社区中的营销线索,向客户提供优质的心理服务.Virtual community marketing faces to a series of problems including mass data processing, mutual distrust and so on. In order to deal with them, a virtual community marketing optimizing system is presented based on artificial psychological clues. In this system, the artificial psychology model of individual and group is established. Through the depth mining of the community theme and the width mining of the divergence comment, the artificial psychological clues to the specific marketing activities are constructed by using of the naive Bayes classifier algorithm. At last, consumer psychology evolvement model is established to optimize the virtual community marketing. Simulation results show that the system can provide good psychology service to consumers and perform well.

关 键 词：电子商务 人工心理 社区营销 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]