Application of Markov Chains Prediction model in Product Layout Optimization
For low-cost sales of online shopping and keeping large consumer groups, online shop become an overwhelming trend,the same industry competitors having been springing up. Undoubtedly, to merchants, how to predict the most popular product by accuration of mathmetic method is naturely is a most valuable problem. Sellers can grasp that part of the bestselling products forcasted to layout to the most reasonable location of online shop. In the ariticle,we propose this kind of mathmetic method- Markov chains model,which can solve it effectively .The article will introduce some important concepts about the predict model firstly, then describe special process of prediction with an actual example where we will get corresponding Transition probability Matrix& State Transition Probability Vector by calculation following the formular principle. Last, interpret and analysis its experimental results. Further,point out where is the worth of the prediction.
online shopping Markov chains prediction Martix State Transition Probablity
Wang Suozhu Li Haifang He Zhaohui
Information Engineering College, Capital Normal University (CNU),Beijing, 100048, China
国际会议
重庆
英文
1206-1209
2009-12-25（万方平台首次上网日期，不代表论文的发表时间）