Acceso usuarios
China
With the continuous development of internet technology, new retail e-commerce systems are receiving increasing attention. This business system is based on a cloud service platform, providing enterprises with a more efficient and convenient business operation environment. This article will conduct an in-depth analysis of this new retail e-commerce system based on cloud service platforms.
Further elaboration was focused on the collaborative filtering algorithm. Then, based on the requirements of the agricultural product e-commerce platform, a customer recommendation system was constructed to achieve recommendation.
The system focuses on improving the collaborative filtering algorithm to an e-commerce platform based on accumulated user behavior data. By mining users’ implicit evaluations of products, the sparsity of the rating matrix is reduced, and the recommendation performance of the algorithm is improved. Experimental comparison shows that the improved algorithm can better meet the needs of e-commerce platforms. Through cloud service platforms, enterprises can pay resource fees on demand without making significant investments in hardware and software. Cloud service platforms can quickly deploy enterprise applications, shortening the cycle from development to online
