CACER：一种基于疯狂蚁群算法的电子商务推荐模型

CACER： A Novel E-commerce Recommendation Model Based on Crazy Ant Colony Algorithms

为了解决电子商务在线营销中的信息阻塞等问题，提出了一种新型的、高效的推荐系统模型。给出了该系统模型中采用的疯狂蚂蚁算法，并描述了它的消息结构和处理流程，最后给出了一个系统应用实例和性能对比结果。仿真实验表明该模型在实时性和客户满意度上超过了传统系统。

In order to deal with the problems of E-commerce online marketing, a novel E-commerce recommendation system model was given to lead consumers to efficient retrieval and consumption. And the system model was built with a crazy ant colony algorithm. Then its model, message structures and working flows were presented as following. At last, an application example and compared results were given to be analyzed. Simulation results show the model can perform better in real-time and customer satisfaction than the olds do.