The invention relates to a building method for an intelligent personalized service web site, which is a simple, easily used, highly efficient and general web site personalized service method. The method packages complex knowledge representation and knowledge acquisition processes and does not directly participate in 'personalized service', and the 'middleware' means is used for providing 'personality' of each client for an application program of the web site; the 'personality' of each client is abstracted into three aggregates which are respectively 'content preference', 'forecast preference' and 'access habit'; the data mining technology is utilized for continuous update of a knowledge base by means of establishment of a dynamic study; the 'personality' of each client is tracked and analyzed; the 'personality' of clients is provided to the application program of the web site by means of API; the application program of the web site can arrange web page contents according to the provided 'content preference' and the provided 'forecast preference' of the clients and arrange index links of web sites which can be next accessed by the clients according to the 'access habit' of the clients, thereby the aim of personalized service is achieved.