Design And Implementation Of Electronic Product Recommendation APP

The 21 st century has completely entered the era of electronic digital technology,and people's demand for various electronic goods is also increasing.At present,the types and brands of electronic goods sold in online shopping platforms also provide consumers with many options.However,for so many kinds of brand electronic goods,how to make the right choice quickly.This is a big problem that puzzles many consumers.In order to solve this problem,so that consumers can buy their favorite electronic products in a short time,this topic through the acquisition and analysis of the sales and transaction data of electronic products in various online platforms,mining the correlation between various electronic products,and applying the experimental results to the recommendation of electronic products,through the combination with the mobile app end,to achieve A set of recommendation system that can be personalized for users is proposed.The main contents of this paper are as follows:1)this paper first analyzes and compares the existing recommendation algorithms,introduces the related principles and technologies of the algorithm recommendation module in detail,such as the basic recommendation process of association analysis algorithm,and optimizes the traditional Apriori algorithm to make its recommendation effect more perfect.2)Then through the analysis of users' demand for goods,we design and model the functional modules of the mobile electronic goods shopping platform.When building the mobile platform,we mainly use HTML5 language to build the relevant UI interface to facilitate users to browse.3)In the MySQL database platform,we design the form of relevant information in the recommendation process,which is used for data storage,provides the data information foundation for the operation of the recommendation system,and enables the recommendation system to achieve data collection,data processing,data mining and other related operations.4)Finally,it introduces the technology of embedding the recommendation algorithm module into the recommendation platform of mobile electronic goods and the framework of the system architecture to realize the recommendation function of goods andthe interaction function between users and the system.It meets the needs of rapidity and accuracy when users purchase electronic goods,and makes users feel a very good shopping experience.