| Summary: | 碩士 === 國立交通大學 === 資訊管理所 === 89 === For the past few years, the financial investment run to diversification. An investor has many choices to invest. Meanwhile market is trade to worldwide, Investors have no choice to face complex and fast investment environment. In addition, today, the WWW is the most popular system in the Internet, more and more information distribution and acquisition rapidly, the broker must support all kinds of information for users to make decision trade financial product efficiently.
Because financial investment diversification, market worldwide, and Internet system’s popular cause information explored, people can’t make decision easing due to too much information to be digest. Besides investors like to that personal style of information presentation in their monitor, current Internet based financial information system is not satisfied for them.
In order to solve above problems, in this thesis an intelligent financial system based on user behavior is proposed which is allowed that the system not only can catch personal browsing behavior but also filter and sift news for an individual. Data mining methodology, include browsing sequence and association rule, and automatic text indexing to construct behavior database, and to use IR to filter news are also provided in this system.
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