As the rapid development of the technology, more and more people get the information mainly from internet, and Internet becomes a main information resource. However, how to get the information efficiently in the vastness Internet world is a difficult problem, therefore the personalized information service become popular. This paper proposed a personalized information service solution based on the clickstream technology. Through the analysis of user's clickstream data and WEB content, we can get the user's interest, which is the basis of personalized information. The following is my main works:Research the framework and implementation process of personalized information service based on clickstream technology.Summarize the process of collecting clickstream data. Propose a solution using AJAX technology to collect the clickstream data.Propose a high-efficient solution of personalized information service based on WEB data mining and personal customize technology.Introduce the community theory and research the collaborative discovery and collaborative filtering technology.Base on the site www.mytaoke.com, propose a good solution of personalized information service with high-efficiency and low-cost. |