基于LBS的O2O电子商务个性化推荐方法研究

随着O2O电子商务规模的不断扩大,O2O电子商务个性化推荐方法也成为研究热点。基于位置的服务(LBS)是O2O区别于传统电子商务的一个重要特点,因此在O2O电子商务个性化推荐中引入位置信息显得尤为重要。本文分析已有的电子商务个性化推荐技术,提出一种基于LBS的O2O电子商务个性化推荐系统架构,并在此基础上提出了一种基于LBS的O2O电子商务个性化推荐的方法和思路,以期提高O2O电子商务中个性化推荐的效率。

Research on Personalized Recommended Method in O2O E-commerce Based on LBS

With the continuous expansion of O2O e-commerce, personalized recommendation method has become a hot research topic. Location-based service (LBS) is one important characteristic of O2O differing from the traditional e-commerce, so the position information is particularly important in the personalized recommendation of O2O e-commerce. This paper analyzed the existing e-commerce personalized recommendation technologies, and proposed a personalized recommendation system architecture for O2O e-commerce based on LBS, and on this basis, put forward a kind of personalized recommendation method and idea, so as to improve the efficiency of personalized recommendation in O2O e-commerce.