Design Of Personalized Recommendation System Based On Small And Medium E-commerce Platform

With the development of the Internet industry,the problem of information overload has become increasingly prominent.The huge number of goods,has been far more than the human eye screening ability.This aspect leads to the user is difficult to find their own needs goods;on the other hand also affected the electricity business enterprises income.To deal with this problem,from the 90's of last century,Amazon,Google took the lead in the use of personalized recommendation system to help users more easily find their own needs goods and services.However,today,the recommended system is still mainly large-scale electricity providers in the use of the site,the use of personalized recommendation system of small and medium-sized electric business is very few.for the reason,one is the high complexity of the technology;the other is Development and maintenance costs are large.This paper first introduces the research background,purpose and significance of information collection and feature modeling of personalized recommendation system,expounds the research status of this field at home and abroad,and determines the construction of personalized recommendation system on small and medium-sized electric business platform.Entry point and research direction.Secondly,according to the author's experience in constructing personalized recommendation system on the website of electrician,it expounds how to collect the customer's behavior data at a low cost and the cost of electricity,especially the small and medium-sized,Establish and improve the personalized recommendation model,and ultimately provide users with personalized recommendation services.Finally,through the use of Python design,the development of a simplified,low-cost recommendation system example,to show the reader the basic design of personalized recommendation system,the construction process of the Notes.And share their lessons in the process of building,for small and medium-sized electric business platform design and build their own personalized recommendation system,to provide some useful reference.