引入社团发现算法O2O服务等级数据交换协议

传统方法采用三团网格社区结构的O2O服务等级数据交换协议设计方法,从超网络视角出发采用单自由度数据交换模型,对商家的信任度和服务等级评价具有主观性,推荐效果不好。提出社团发现算法的O2O服务等级数据交换协议设计方法,建立O2O模式下电子商务数据交换的初始社团模型,对O2O模式下的商家进行网络社团划分,提取O2O模式的服务等级数据信息流,通过交易数据频度、交易数据深度、实现服务等级评价数据频度隐匿编码设计;设计服务等级数据交换的相干分布模型,实现交换协议改进设计。仿真实验表明,采用该方法能有效实现对O2O服务等级数据交换协议设计,对O2O商家服务等级定量评价的准确性较高,收敛性较好,展示了较好的应用前景。

Introduction of Community Discovery Algorithm O2O Service Level Data Exchange Protocol

Traditional methods using three ball grid community structure of O2O service level data exchange protocol design method, from the super network perspective is made of single degree of freedom data exchange model, credibility and service level evaluation of subjectivity to the businessman, recommend the result is bad. Community discovery algorithm of O2O service level data exchange protocol design method, establishing O2O mode initial community model of data exchange, e-commerce businesses under the O2O model divides the network community extract O2O mode service level of the data stream, by trading frequency data, transaction data depth and service level evaluation data frequency hidden code design; Design the coherence of data exchange service level distribution model, realize the exchange protocol design improvements. The simulation experiments show that this method can effectively realize the O2O service level data exchange protocol design, on the accuracy of the quantitative evaluation O2O business service level is higher, better convergence, shows a good application prospect.