| Summary: | 碩士 === 東海大學 === 資訊工程與科學系 === 95 === A lifestyle website is an electronic commerce website of providing daily necessities and services. But nowadays, most of them are lack of automatically notifying services and personalized learning mechanism. Therefore, users have to login the website and search suitable services in a large database. This is really a time-wasted and inefficient work.
This paper proposed an extensible structure of the intelligent agent for the lifestyle website. We integrate three techniques to build this structure: (1) Data Cube structure, (2) Bit-Mapping technique, and (3) FP-Tree algorithm. With these techniques, the intelligent agent will not only analyze the user’s shopping habits, but automatically notify users of suitable services before the habits happen. With this agent, the lifestyle website can mine more potential customers and let the user feel more convenient.
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