博碩士論文 90433001 完整後設資料紀錄

DC 欄位 語言
DC.contributor資訊管理學系在職專班zh_TW
DC.creator吳慧貞zh_TW
DC.creatorHuei-Jen Wu.en_US
dc.date.accessioned2003-6-23T07:39:07Z
dc.date.available2003-6-23T07:39:07Z
dc.date.issued2003
dc.identifier.urihttp://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=90433001
dc.contributor.department資訊管理學系在職專班zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract本研究目的在於提出一種新的檢索策略,並與另外兩種檢索策略比較效果之差異。研究中建立一套智慧型資訊檢索系統,使其成為網際網路使用者之搜尋輔助代理人;首先,由使用者提出感興趣之樣本文件,透過基因演算法來組合關鍵查詢字串,如此於既有的文件字詞比對技術上做提高回召率的搜尋,再加上擷取部分段落文件作為使用者相關回饋單位,利用此延伸資訊藉以建立個別使用者之興趣檔,達到提高系統搜尋結果的精確度。 實驗之結果驗證本研究確實具有可行性,並推論出影響使用者興趣檔對檢索精確度的因素包含:興趣檔中關鍵字數量多寡、使用者若對該知識領域熟悉度高低、相關回饋進行之回合數。zh_TW
dc.description.abstractThis research aims to construct an intelligent agent to assist information retrieving on WWW. Then compare its effect with the other two information-retrieving strategies. Our intelligent agent requires the user to feed interested documents first to generate a user profile, then applies genetic algorithm to filter out the adequate query keywords string, and finally uses the user selected part of the retrieved documents as the relevance feedback to refine the user profile. Several experiments have been conducted. The results show that our strategy for information retrieving is better than the other two strategies.en_US
DC.subject基因演算法zh_TW
DC.subject資訊檢索zh_TW
DC.subject使用者興趣檔zh_TW
DC.subject相關回饋zh_TW
DC.subject段落文件zh_TW
DC.subjectdocument segmentationen_US
DC.subjectrelevance feedbacken_US
DC.subjectgenetic algorithmen_US
DC.subjectinformation retrievalen_US
DC.subjectuser profileen_US
DC.title不同檢索策略之效果比較zh_TW
dc.language.isozh-TWzh-TW
DC.titleA Comparison of the Effects of Different Information-Retrieving Strategiesen_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明