| DC 欄位 |
值 |
語言 |
| DC.contributor | 資訊管理學系 | zh_TW |
| DC.creator | 楊宗翰 | zh_TW |
| DC.creator | Tsung-han Yang | en_US |
| dc.date.accessioned | 2010-7-12T07:39:07Z | |
| dc.date.available | 2010-7-12T07:39:07Z | |
| dc.date.issued | 2010 | |
| dc.identifier.uri | http://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=974203008 | |
| 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 | 在面對資訊爆炸的時代裡，網際網路上的資訊量日漸龐大，如何協助使用者過濾掉無用的資訊，同時降低使用者瀏覽網頁的負擔，已經成為重要的議題。因此，本研究提出以單一使用者興趣檔為基礎的查詢擴展與文件重排序系統，實現個人化的資訊檢索。透過網頁爬行器擷取使用者瀏覽過的網頁來建置單一的多主題使用者興趣檔，解決傳統必頇將使用者的興趣主題分類成多個單一的使用者興趣檔的問題，當使用者輸入關鍵字進行資訊檢索時，系統會根據使用者興趣檔推薦個人化的擴展字詞，藉以過濾不符合使用者興趣的文件，且只需比對一個使用者興趣檔便可以產生擴展字詞，相較於傳統必頇先判斷關鍵字屬於的使用者興趣檔主題分類再進行查詢擴展，能提昇系統執行效率，再將搜尋結果根據使用者興趣檔進行重排序，將使用者有興趣的文件排在前面，藉以輔助使用者更快速地找到有用且有興趣的個人化的搜尋結果，降低使用者瀏覽文件的負擔。
實驗結果證實以單一使用者興趣檔為基礎的自動化查詢擴展確實能提昇檢索效能，而將搜尋結果再依文件的相關度重排序後，檢索效能更是大幅提昇，證明相較於傳統的個人化資訊檢索，本研究提出的以單一使用者興趣檔為基礎的查詢擴展與文件重排序系統確實能有效提昇個人化查詢擴展的執行效率，且能根據使用者的興趣推薦擴展字詞，過濾掉大部分不相關的網頁，取得使用者真正想要的資訊，達到有效降低使用者瀏覽網頁文件的負擔。
| zh_TW |
| dc.description.abstract | With the rapid growing information on Internet, the issue of helping user to filter useless information and to reduce the burden of browsing has become important. Therefore, a query expansion and document re-ranking system based on single user profile is proposed to accomplish personalized information retrieval. Collecting the Web pages of the user’s past browsing via web crawler to build a single user profile with multi-topic, and resolve the traditional problem of building multiple profiles for each topic of user’s interest. When user submits a query, the system will recommend personalized expansion words based on the user profile to filter uninterested documents, and just need to compare one single user profile so that expansion words can be produced. Comparing to the traditional process that must first determine which interest user profile is belonged to the query and then expansion words being produced; the proposed system can improve the efficiency. And re-ranking the search results based on user profile to rapidly help user to find personalized search results which are useful and interested and the burden of user browsing can be reduced.
The experimental results prove that automatic query expansion based on single user profile can improve the retrieval performance, and after re-rank the search results, the retrieval performance is significantly improved. The proposed query expansion and document re-ranking system based on single user profile provides better efficiency in personalized query expansion, and can recommend expansion words according to user’s interests to filter irrelevant Web documents to acquire the actual needed information, and the burden of user browsing is effectively reduced.
| en_US |
| DC.subject | 文件重排序 | zh_TW |
| DC.subject | 資訊過濾 | zh_TW |
| DC.subject | 查詢擴展 | zh_TW |
| DC.subject | 使用者興趣檔 | zh_TW |
| DC.subject | Document Re-ranking | en_US |
| DC.subject | Query Expansion | en_US |
| DC.subject | User Profile | en_US |
| DC.subject | Information Filtering | en_US |
| DC.title | 以單一使用者興趣檔為基礎的查詢擴展與文件重排序系統 | zh_TW |
| dc.language.iso | zh-TW | zh-TW |
| DC.title | A Query Expansion and Document Re-Ranking System Based on Single User Profile | en_US |
| DC.type | 博碩士論文 | zh_TW |
| DC.type | thesis | en_US |
| DC.publisher | National Central University | en_US |