Research on LBS-based Optimizing Personal Recommendation System
Enhui Li, Xin Chen, Taiyan Hao, Xiangling Fu · 2013
In recent years, more and more internet companies trend to fuse their products with personal recommendation functions which based on a popular technology called LBS (location based service).Although the idea of this business model satisfies the characteristic of Internet industry felicitously, scientists and engineers gradually find out that the effect of the personal recommendation is worse than they expected.Due to the current technology which is not suitable and mature to make a real combination between personal recommendation and LBS module to support the internet applications, there are plenty of problems such as the network environment of the user, the location filtering, user modeling, data sparse and cold start.In this paper, we proposed a novel optimized personal recommendation system, which based on LBS.The system can not only solve the major problems mentioned above but also provide a good recommendation services based on customer's geographical position.According some statics we evaluate our system in an analog experiment and come to an conclusion that the new one provide a better performance than the traditional ideas.(Abstract)