檢索詞文檔 的英文怎麼說

中文拼音 [jiǎnsuǒcíwéndàng]
檢索詞文檔 英文
term file
  • 檢 : Ⅰ動詞1 （查） check up; inspect; examine 2 （約束; 檢點） restrain oneself; be careful in one s c...
  • 索 : Ⅰ名詞1 （大繩子; 大鏈子） a large rope 2 （姓氏） a surname Ⅱ動詞1 （搜尋; 尋找） search 2 （要; ...
  • 詞 : 名詞1 （說話或詩歌、文章、戲劇中的語句） speech; statement; lines of play 2 （一種韻文形式 起於唐...
  • 文 : Ⅰ名詞1 （字） character; script; writing 2 （文字） language 3 （文章） literary composition; wri...
  • 檔 : Ⅰ名詞1 （帶格子的架子或櫥） shelves （for files）; pigeonholes 2 （檔案） files; archives 3 （器...
  • 檢索 : retrieval; retrieve; search; searching
  • 文檔 : certs
  1. After clustering of the documents, in the process of retrieval, we make a comparison between the retrieval words the users point out and cluster center of the documents, and as a result, achieve a cluster that is most similar to retrieval words. through the calculation of both the selected documents and those retrieval words, thence the retrieval range will be reduced, the efficiency of retrieval be increased, and the retrieval deviation be overcome to a certain extent

    對文檔進行了聚類，在檢索的期間，對用戶提出的檢索詞先進行和每一類的類心比較，得到與之最近的類別，僅將屬于該類別中的文檔與用戶提出的檢索詞進行運算，從而縮小了檢索的范圍，提高了檢索的效率，也在一定程度上克服了檢索結果的偏差。
  2. 5 、 the retrieval system adopting the algorithm could search for world wide web pages in school. the search engines could be classified front searching engines and meta searching engines : the meta one get web document, then slice the word, establish and update index ; the front one extract the content of the index library, provide the users query service

    5 、設計了校園網內web頁面的搜索引擎，該引擎的主要特點是：將搜索引擎主要分為前端和後端，後端獲取web文檔，然後分詞，建立和更新索引；前端提取索引庫中的內容，向客戶提供檢索服務。
  3. According to such an idea, we propose a new retrieval method that combines xpath and vector space model, named as the vector retrieval model based on xpath. secondly, we make full use of the hierarchical architecture of xml data, and analyze the structure of every document to construct a structure thesaurus, which is designed to navigate the user query and to eliminate the structural conflict

    根據這一思想，作者提出了將xpath語言與傳統的向量空間模型相結合，實現基於簡單xpath路徑的向量檢索演算法來實現對xml文檔的檢索。充分利用xml文檔分類層次體系結構的特點，對于每篇xml文檔分析其文檔結構，並採用聚類學習演算法形成文檔結構類屬詞典，從而實現xml文檔查詢的導航機制和消除文檔結構的異構性。
  4. Spider downloads pages from web ; parser analyses the pages in order to set up index ; the index lists the file in a way which is easy to be searched and stores it in the index database ; the searching device realizes users calculation of inquire keyword and match degree of goal files ; user interface provides users a web page which can input inquiring request and customize inquiring results, and returns the results to browser after being formatted

    Spider從web上下載頁面;分析器對下載頁面的內容進行分析以用於建立索引;索引器將文檔表示為一種便於檢索的方式並存儲在索引數據庫中;檢索器實現用戶查詢關鍵詞和目標文檔匹配度的計算;用戶介面為用戶提供一個輸入查詢請求，定製查詢結果的web頁面並將查詢結果格式化后返回給瀏覽器。
  5. Knowledge purification is the key procedure of knowledge acquisition, and machine learning is a effective method to gain wisdom for computers, among which artificial neural network with tutor coached can learn more accurate knowledge by faint structure, and then is a perfect way to deal with misty knowledge by describing and computing intangibly. lt is hard to describe or compute the misty relation of terms and document sort with accurate way. and we can figure out misty knowledge with misty way, so the paper introduces ann into vcm to form a conjoint method vcm ann

    。其中，有導師指導的人工神經網路能夠以模糊的結構學習較為精確的內容，是將模糊的知識進行模糊計算和模糊描述的理想方法。詞條項與文檔類別之間的模糊關系難以用精確的方法進行精確地描述與計算，模糊的知識用模糊的方法能得到較好的解決，因此本文將神經網路應用到信息檢索模型中，將之與向量空間模型相結合，形成了一種改進的向量空間模型vcmann 。
  6. Li this part, the thesis first profiles semantic features of each document by employing chinese information processing technology in order to change documents into the form which can be operated with the help of mathematical methods. second, the thesis profiles each user ' s information needs by three ways : 1 ) accepting the information provided by the user himself ; 2 ) watching the user ' s retrieval action ; and 3 ) analyzing web server log. in this module, users are also classified into different categories according to their information needs

    在用戶建模中，系統從三方面獲取用戶信息需求特徵，第一，用戶主動地向系統提供需求信息；第二，系統檢測用戶檢索行為，從用戶檢索詞分析其需求；第三，系統通過分析web訪問日誌，得到用戶的興趣所在及興趣的變化狀況，並進一步利用對用戶訪問文檔內容的分析來追蹤其興趣變化，將用戶興趣同樣表示為興趣特徵向量，聚類相似用戶。
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