| Summary: | 碩士 === 國立臺灣科技大學 === 電子工程系 === 88 === In this thesis, we purpose the concept of website models to help a search agent locate the most important information for users, efficiently and effectively. A website model is defined to be a structure that captures statistics on static and dynamic website information, including webpage descriptions, webpage clusters, website clusters, long-term policy, short-term activities, information update frequency, and response time. The search agent is responsible for website modeling, which involves the concepts of ontology and ontology-supported user models to help expand a given query. We find that the modified prTFIDF classifier supported by Ontology can fast and accurately classify retrieved webpages and websites during the construction of website models. With this high-quality website model, a search agent can do better quality information search.
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