DC 欄位 |
值 |
語言 |
DC.contributor | 資訊管理學系 | zh_TW |
DC.creator | 楊宗瑜 | zh_TW |
DC.creator | Tsung-Yu Yang | en_US |
dc.date.accessioned | 2010-7-26T07:39:07Z | |
dc.date.available | 2010-7-26T07:39:07Z | |
dc.date.issued | 2010 | |
dc.identifier.uri | http://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=974203012 | |
dc.contributor.department | 資訊管理學系 | zh_TW |
DC.description | 國立中央大學 | zh_TW |
DC.description | National Central University | en_US |
dc.description.abstract | 由於近年來網際網路的快速發展,網際網路顯然已經成為人們日常生活中不可或缺的資訊來源。然而隨著網際網路快速發展,存在於網際網路上的資訊量也呈現急速增長的狀態,進而造成資訊過量的現象。因此如何依據使用者的興趣與喜好,擷取合適的資訊以提供給使用者,便成為一個重要的議題。
本研究利用相關回饋機制,從使用者相關回饋的半結構化文件,分析出何種字詞特性能夠正確反應出使用者的正向興趣與負向興趣,並且將這些字詞特性應用在使用者的檢索文件上進行字詞權重調整,讓擁有使用者基本興趣的使用者興趣檔,能夠正確地辨識出檢索文件是否符合使用者的需求與喜好。
經由本研究實驗後,發現標題且只在相關文件與標題且只在非相關文件具有反應出使用者正向興趣與負向興趣的能力,讓使用者興趣檔對檢索文件的辨別力提升。
| zh_TW |
dc.description.abstract | With the rapid development, Internet has become an essential source to get information. However, the explosive growth of information on Internet also causes the user to face the situation of information-overload. Therefore, how to extract and provide relevant information to the user has become an important issue.
In this study, we analyze the information residing in the relevance feedback and the semi-structured document to construct term sets with different characteristics. Then we apply these term characteristics to adjust the term weight of retrieved document in the information retrieval. Experiments results have shown that the method of our proposition could enhance the effectiveness of information retrieval.
| en_US |
DC.subject | 使用者興趣檔 | zh_TW |
DC.subject | 搜尋結果過濾 | zh_TW |
DC.subject | 個人化搜尋 | zh_TW |
DC.subject | 字詞敏感度 | zh_TW |
DC.subject | Personalized search | en_US |
DC.subject | Sensitivity | en_US |
DC.subject | Search result filtering | en_US |
DC.subject | User profile | en_US |
DC.title | 探討使用者回饋之半結構化文件字詞特性於檢索文件的應用 | zh_TW |
dc.language.iso | zh-TW | zh-TW |
DC.title | A study of the application of the term characteristics in the semi-structure document of user’s feedback | en_US |
DC.type | 博碩士論文 | zh_TW |
DC.type | thesis | en_US |
DC.publisher | National Central University | en_US |