The Recommended Mode Of Merchandise Based On Customer Life Cycle And Transaction Preferences

Recommending products is a important business activity to attract customers and meet to the need of them.How to createa effective products remmendation system is a important issue to a company in a fiercely competitive environments,especially in the time of the widely use of e-commerce and shopping on-line.The aim to research product recommendation system is to improve the quality of product recommend,so that motivate and meet the need of customers(in this essay, it is aim to the customers on-line).At present,the recommendation system mainly use the technology of collaborative filtering(CF). CF is a kind of non-different recommendation to all customers,so it is may appear that the company spend much cost but have little revenue.Recently a new recommend technology base on lifetime value of customers have emerged, the centre of the technology is to use the weighed sum of the three variable to classify the customers and the reason of use weighed variable is that think about the relative important degree.Then we can recommend products according to the association rule in the classify of same CLV.The shortcoming of this recommendation is that the recommendation may have some error when the customers'data is not enough to form regular value.It is shown that the two recommendation method'form mechanism and operation process in this paper.After analysing the good and shortcoming of the two method,it is suggested that a new hybrid recommendation based on the two method,and it is also shown that the reasonable of the hybrid recommendation through the experiment.The innovation of this paper is concentrate the merit of the above two recommendation technology,namely, it is a hybrid method that use the conception of customers'preference and weighed CLV,and what is joited is to use the conception of threshold,so it can be settled on the joit of the two method and avoid the error of use the two recommendation seprately.In this hybrid method,we can firstly identify the loyalty of researched customer use CLV,what is mean is firsly the WRFM technology is used to classify and secondly identify the customer is high loyalty or not,if he belongs to the...