Exploration of e-commerce platform development based on web usage mining

• Published in: RISTI : Revista Ibérica de Sistemas e Tecnologias de Informação 2016-03 (17B), p.280
• Main Author: Qiuyu, Pan
• Format: Article
• Language: eng ; por
• Subjects: Algorithms; Cloud computing; Computer programs; Electronic commerce; Internet software; Laws, regulations and rules; Middleware
• ISSN: 1646-9895
• DOI: 10.17013/risti.17B.280-292

Cloud computing is the mainstream technology of the modern Internet in the information age. With the continuous development of computer and network technologies, cloud computing will be penetrated into e-commerce sites, which will bring about major transformations to e-commerce and usher in a new age of e-commerce. Through establishing an intelligent model for e-commerce, this paper notes to support e-commerce intelligence by digging and exploring laws, patterns and knowledge through the web. A refined algorithm for maximal forward references is proposed for processing web logs, obtaining user transaction sequence, and comparing with the algorithm for maximal forward reference model, showing that a refined algorithm can better reflect users' browsing habits. These user transaction sequences are converted into binary vectors; combined with an improved ant colony clustering algorithm, cluster operations are performed to realize user clustering. Finally, an intelligent e-commerce system prototype for online automatic clustering is established and applied into the actually running web system. In comparison, the IP traffic and page views of the applied web systems have been significantly improved. This e-commerce platform based on web usage mining can be applied to major e-commerce sites and will yield good results. Keywords: Intelligent E-commerce; web usage mining