Title :
Improved Precision Recommendation Scheme by BPNN Algorithm in O2O Commerce
Author :
Yen-Chiu Chen ; Hui-Ching Hsieh ; He-Chih Lin
Author_Institution :
Inf. & Commun. Res. Labs. (ICL), Ind. Technol. Res. Inst. (ITRI), Hsinchu, Taiwan
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.
Keywords :
advertising data processing; backpropagation; electronic commerce; neural nets; recommender systems; BPNN algorithm; O2O commerce; advertisement; back propagation neural network algorithm; business model; online to offline commerce; precision recommendation scheme; real-world store information; Artificial neural networks; Companies; Global Positioning System; Prediction algorithms; Vectors; O2O; neural network; online to offline; recommendation system;
Conference_Titel :
e-Business Engineering (ICEBE), 2013 IEEE 10th International Conference on
Conference_Location :
Coventry
DOI :
10.1109/ICEBE.2013.50
