基于分层序列的移动电子商务推荐系统策略研究

移动互联网环境下,移动电子商务快速发展,移动推荐系统成为解决移动信息过载的主要技术和手段.移动电子商务推荐系统中用户策略选择是一个典型的多目标决策问题,目标之间也存在一定的矛盾.基于移动推荐系统的这种特征,借助分层序列法算法的思想,通过元数据的标准化处理,结合移动电子商务中的位置上下文信息获取推荐数据,得到满足用户多目标需求的推荐结果.方法的提出为移动电子商务推荐系统的研究提出了一种新的推荐策略.

Research on Mobile E-commerce Recommendation System Strategy Based on Hierarchical Sequence

In the mobile Internet environment,mobile e-commerce has developed rapidly,and the mobile recommendation system has become the main technology and means to solve mobile information overload.User policy selection in mobile e-commerce recommendation system is a typical multi-objective decision-making problem,and there are certain contradictions between goals.Based on this feature of the mobile recommendation system,this paper uses the idea of hierarchical sequence algorithm to obtain the recommendation data through the standardization processing of metadata and the location context information in mobile e-commerce,and obtain the recommendation result that meets the multi-target requirements of users.The proposed method proposes a new recommendation strategy for the research of mobile e-commerce recommendation system.