| Summary: | 碩士 === 國立中央大學 === 資訊管理研究所 === 90 === As the E-Commerce prevalence,E-catalog has become an important interface to a company thorugh which customers interact, regardless of B2B or B2C. E-catalog not only provides product information,but becomes the important media of service providing for customers. However,how does a E-catalog assist casual/unfamiliar users with such rich information in their purchasing decision making?
The challege for WebSites is how we know uesrs needs? Thus, we will apply Web Mining technology to undestand users needs and get usage pattern from previous browsing expereince.
In this thesis,we propose a new transaction identification, Conceptual-Constrained Reference(CCR),for understanding what the goal of users in browsing the e-catalong.Furthermore,we use the MixSEQ similairty measure for web-usage clustering and clusters will be the recommedation dataset.Finally,we will calssify pages into two types-CONTENT PAGE and Navigation Page,and recommed those pages which are content types for users when they are browsing.
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