Improved Precision Recommendation Scheme by BPNN Algorithm in O2O Commerce

Abstract

Online to Offline (O2O) commerce is a newly business model between company and customers. Under such environment, it is very important to recommend some useful and precise advertisement for users. If the recommendation work is down, it will attract more users to pay online and then get the related products in the real-world stores (offline). In this paper, we proposed a methodology based on the Back Propagation Neural Network algorithm to recommend some real-world store information for users. The results are more precise and close to users' desires.