Research and design of a new personalized recommendation system for wooden artifacts based on collaborative filtering

With the rapid development of mobile Internet technology and the gradual expansion of the public's consumption and aesthetic demand for new wooden playthings, the offline sales channels of wooden playthings manufacturers have been difficult to meet the users' demand, and with the rapid development of Internet information technology and e-commerce, human beings have gradually stepped into the era of information overload. The system can use the user's collaborative filtering recommendation algorithm to recommend the highest similarity of the user's goods to the user, effectively solving the user's difficulty in finding quality goods resources from many goods information, improving the user's shopping experience, expanding the sales channels of enterprises, while the scheme designed in this paper lays the theoretical foundation for the development of other personalized recommendation systems The solution designed in this paper also lays the theoretical foundation for the development of other personalized recommendation systems.