Design an Online Aquarium with Intelligent Recommend System

With the development of network and the advancement of science and technology, people's living standards have been increasing day by day. As people's living standards increase and the demand for online shopping increases. Online aquarium has become a common phenomenon and users can online browse their favorite aquarium products without leaving home. However, traditional offline aquariums have been declining due to the scale and financial pressure. This paper uses OpenCart to design an online aquarium with intelligent recommend system. OpenCart is an e-commerce system with PhpStudy integrated package that includes PHP language, MySQL database and Apache server. In this paper, it first reviews related literature and then introduces the technologies to design and realize the whole system. Thereafter, an intelligent recommend system uses association rule and k-means to automatically promote and recommend valuable products for users.