Applying Semi-Structure Information and User Feedback Information in Filtering Web Page Search Result
| Autor: | Po-sen Huang, 黃柏森 |
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| Rok vydání: | 2009 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 97 Nowadays, Web search engine has become an important tool to get information rapidly. However, there are too many searching results retrieved from search engine, and always, these searching results do not conform to user''s request. To reduce personal effort on information searching, personal search are required. In this research, we present a method to extract Web document feature, and by way of comparing the similarities of document features, we could better recognize which documents are conformed to user''s request. The method of document feature extraction includes four factors: HTML emphasis tag, term position, analytic combination of criteria, and term sensitivity. The results of our experiment show that our method can extract important features of Web document efficiently. The user profile consists of the above document features could increase the similarity with relevant documents, and decrease the similarity with irrelevant documents. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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