Research On The Construction And Product Recommendation System Of Agricultural Products E-commerce Platform

The development of Internet technology has promoted the transformation of traditional business mode l to e-commerce model,which has also cultivated the online shopping habit of consumers.On the other han d,with the deepening of agricultural reform,the "last mile" of online ordering and selling of agricultural pr oducts has been gradually opened up,and the purchase and sale of agricultural products through the Interne t is on the rise.This requires the construction of an appropriate e-commerce platform for agricultural produ cts and the improvement of the processing capacity of a large amount of data.However,there are some pro blems in the current product recommendation system,such as the lack of thorough analysis of user's person ality and the poor relevance of product recommendation.Therefore,according to the characteristics of user preferences of different user groups,and then recommend products that meet the needs of this group can no t only facilitate users to choose from a large amount of product information,but also provide a variety of pr oducts with relevant information for users to choose.The main contents of this paper are as follows:1)through the analysis of the basic situation of agricultural products enterprises,the agricultural produ cts e-commerce platform was designed and developed based on MVC architecture.The idea of hierarchical design reduces the coupling degree between each layer of code,facilitates the modification and maintenan ce of business code,and makes the reuse of functional modules easier.2)based on the personalized recommendation technology commonly used in the analysis of existing p roblems in agricultural products recommended,make improvements to collaborative filtering algorithms,th is paper proposes a personalized recommendation algorithm for agricultural production,the algorithm was applied to produce electric business platform products recommendation module,and the recommendations of the algorithm was tested and analyzed,verified the validity of this algorithm in agricultural products reco mmended;3)design the interactive process of the operation of specific function modules,and use the related tech nologies realized on the web page to present the actual operation effect;4)finally,black box testing method is adopted for the developed system to allow customers to particip ate in the test and adjust the existing problems according to the customer's response.The e-commerce platform of agricultural products designed in this paper has practicability and promot ion value.The recommendation algorithm improved based on the consumption habits of agricultural produ cts users has obtained a good evaluation in the test and has a certain degree of universality.