摘要
在同类服务或产品中识别和量化竞争是当前竞争关系挖掘领域关注的重要问题。提出科学合理的竞争关系评价指标,构建实体竞争关系综合评价指标体系,使用隐含Dirichlet分布(LDA)模型对消费者口碑评论进行降维和主题提取,构建口碑相似度函数,对实体用户口碑相似度进行量化表示。根据实体地理位置属性,计算实体空间距离,构建实体相邻关系并以具有相邻关系实体的距离作为聚类中心,使用K近邻(KNN)算法对其进行聚类。综合上述技术提出LTM模型,融合了用户评论、实体地理位置属性,量化实体间竞争关系。大量真实移动社交网络数据上实验结果表明所提方法在量化指标制定、实用性和时间性能上具有较大优势。
It is an important problem of identifying and quantifying the competition in similar services or products in the research area of competitive relationship mining. A scientific and reasonable evaluation metric of competitive relationship is proposed, and a comprehensive evaluation system of entity competitive relationship is constructed.Dimension reduction and theme extraction on users reviews are achieved by using the latent Dirichlet allocation(LDA)model, the similarity function of comments is constructed, and the similarity degree of entity users comments is quantified. Based on the geographic location information of entities, the spatial distance of entities is calculated, the adjacent relation of entities is constructed, the distance of entities with adjacent relationship is regarded as the cluster center, and the entities are clustered by using the K-nearest neighbor(KNN) algorithm. The location & topical model(LTM) is proposed by integrating users reviews, entitys geographical attributes, and quantifying the competitive relationship between entities. Conducted on a large number of real social network data, the experiments results show that the proposed method has great advantages in quantitative metric formulation, practicability and time performance.
作者
李艾鲜
乔少杰
韩楠+
元昌安
黄萍
彭京
周凯
LI Aixian;QIAO Shaojie;HAN Nan;YUAN Chang'an;HUANG Ping;PENG Jing;ZHOU Kai(School of Cybersecurity,Chengdu University of Information Technology,Chengdu 610225,China;School of Software Engineering,Chengdu University of Information Technology,Chengdu 610225,China;Software Automatic Generation and Intelligent Service Key Laboratory of Sichuan Province,Chengdu University of Information Technology,Chengdu 610225,China;School of Management,Chengdu University of Information Technology,Chengdu 610103,China;Nanning Normal University,Nanning 530001,China;Sichuan Provincial Department of Public Security,Chengdu 610014,China)
出处
《计算机科学与探索》
CSCD
北大核心
2020年第5期825-832,共8页
Journal of Frontiers of Computer Science and Technology
基金
四川省教育厅人文社会科学重点研究基地四川景观与游憩研究中心科研项目No.JGYQ2018010
广西自然科学基金No.2018GXNSFDA138005
国家自然科学基金Nos.61772091,61802035,71701026
四川省科技计划项目Nos.2018JY0448,2019YFG0106,2019YFS0067,2018GZ0114,2018GZ0082,2018GZ0307
四川省重大科技专项项目Nos.2017GZDZX0002,2018GZDZX0049
四川高校科研创新团队建设计划No.18TD0027
四川省科技创新苗子工程项目Nos.2019016,2019033。
关键词
竞争关系
关系量化
口碑
地理位置
competitive relationship
relationship quantification
word-of-mouth
geographical location