檢索排序 的英文怎麼說
中文拼音 [jiǎnsuǒbèixù]
檢索排序
英文
retrieval ordering-
Document similarity search is to find documents similar to a given query document and return a ranked list of similar documents to users, which is widely used in many text and web systems, such as digital library, search engine, etc. traditional retrieval models, including the okapi s bm25 model and the smart s vector space model with length normalization, could handle this problem to some extent by taking the query document as a long query
文檔相似搜索指從文檔集中檢索與給定查詢文檔相似的文檔。對于給定的查詢文檔，我們期望文檔相似搜索系統能夠返回一個按相似度排序的相似文檔列表。文檔相似搜索技術已經被廣泛應用到電子圖書館，搜索引擎等系統中，例如citeseer . ist科學文獻數字圖書館的相似文獻推薦功能， google的相似網頁查詢功能等。At last, the subject catalogues with their pages are evaluated according to the indicators. in addition, the paper uses evaluation criterion on sorting the result documents
另外，本文借鑒信息檢索檢索得到的文檔結果排序的評價方法，以alexa網站利用點擊率指標進行網站主題目錄評價結果為標準答案，給出了對網站主題目錄評價結果的評測方法及相應的評測結果。Search data is retrieved in contiguous subsets of a sorted directory search
在排序目錄搜索的連續子集中檢索搜索數據。The main results in this paper as follows : first, a prototype of a shape - based image database retrieval system is completed, it can receive the query mode both by giving an example image and by sketching the desired object on the screen, second, five shape - based image retrieval methods are realized ; third, an algorithm based on triangulation for shape - based image retrieval is brought forward. in this algorithm, firstly, the edge of the original image is followed and the candidate corners in the original image are detected. then the counterpoints of the candidate corners in the result of edge follow are found, and the boundary corners whose counterpoints have been found are queued in the order of their counterpoints in edge follow
同時本文中主要完成了以下三方面的工作：完成了一個基於形狀特徵的圖象檢索的原型系統，可實現例子圖象或徒手繪草圖兩種查詢方式；實現了五種利用形狀特徵進行圖象檢索的具體方法，並對其進行了分析比較；並且在繼承將三角剖分引入形狀檢索的思想基礎上提出了利用三角剖分進行形狀檢索的一種新演算法：先對原圖象進行邊界跟蹤和角點檢測；然後尋找初始角點在邊界跟蹤中的對應點，並對找到對應點的角點按其對應點在邊界跟蹤中的順序進行排序；再對排序后的角點進行德洛內三角剖分，得到能表示目標真實形狀的三角形序列；最後計算三角形序列的角度直方圖作為形狀特徵，並進行相似性匹配。A strategy of query result ranking and merging for p2p information retrieval systems
信息檢索系統的查詢結果排序與合併策略Then it presents the design of information push service based on agent by using artificial intelligence technique. a brief introduction of each function module in this system and their internal transaction sequence are followed. the detail design and implement of key parts in each module is also given, which includes setting up user interest model with vector space model, searching information by using word segmenting and searching engine, filtering information using sorting algorithm, ordering information using pagerank algorithm
本文首先分析了傳統的信息「拉取」方式存在的主要問題以及推送技術的產生;然後結合人工智慧領域的agent技術，提出了基於agent的信息推送服務的總體設計，並簡要闡述了各功能模塊的內部處理流程和思想;接著給出了各模塊的詳細設計與實現，主要包括:利用向量空間模型（ vectorspacemodel ）建立用戶興趣模型，通過分詞並與搜索引擎協作實現信息檢索，採用分類演算法對已檢索的信息進行過濾，用pagerank演算法對信息排序。Then, inspired by the idea of evaluation method we propose a new method and construct a simple music structure based music information retrieval system, the experiment results show that it is a perspective method, the system can give a list of retrieval results ordered by structure similarity that extracted from the automated music structure label system build up before, and two same music piece can be identified almost 100 %, so it is very useful in mir and intelligent play list generation
受到結構評價方法啟發，本文又提出了基於結構分析的音樂檢索的方法，初步探討了利用音樂結構信息建立檢索系統這一新方法的前景。初步實驗結果顯示這種方法是很有前途的，它可以直接檢索音頻形式的音樂，按照結構相似程度給出最後結果並排序輸出，這在音樂檢索和智能播放列表的生成方面都有廣泛的應用。Represents no paging, sorting, or total row count retrieval capabilities
表示沒有分頁、排序或總行數檢索功能。Unordered node retrieval by name or index
按名稱或索引檢索未排序節點Ordered node retrieval by index
按索引檢索已排序節點A management system of digitized degree ' s thesis is established with asp. net, dc and xml which has such functions of managing data as appending, deletion and retieve etc
摘要文章採用asp . net 、 dc 、 xml等技術手段，通過實現對學位論文數據的追加、刪除、更新、檢索、排序等功能，構建起一個學位論文管理系統。Uses a binary search algorithm to locate a specific element in the sorted
使用對分檢索演算法在已排序的Content and link information is used by virtually all search engines to crawl, index, retrieve, and rank web pages
內容和鏈接信息通常被所有的搜索引擎用來進行爬行、索引、檢索以及排序。Exclusion standard, search strategy and design of the search algorithm are given in detail. a latest update strategy, which is able to examine, download and renew the information in the shortest time, is proposed. the invalid hyperlinks are decreased sharply and the retrieval performance of search engines is improved
Robot程序是信息搜集與信息更新的基礎，本文詳細地敘述了其搜集信息的排除標準、搜索策略及搜索演算法設計，並給出了一個最近更新策略，保證能在數據信息變更的最短時間內進行檢測、下載、更新，大大地避免死鏈接、無效鏈接，提高了搜索引擎的查詢性能。A probe in a manual information retrieval operation that may be passed through holes or notches to assist in sorting or selecting cards
在手工信息檢索操作中使用的一種金屬針，可以穿過卡片小孔或切口，用來幫助對卡片進行排序或選擇。Question answering ( qa ) is the next generation of search engine which is related to natural language processing, information retrieval and etc. a question answering contains question classification, query expansion, text retrieval, answer extraction and answer selection
自動問答系統是集自然語言處理技術和信息檢索技術於一身的新一代智能搜索引擎。問答系統包括問題分類、查詢擴展、文本檢索、答案抽取和答案選擇排序，其中，問題分類和答案抽取最為關鍵。To promote information service ability of digital libraries, a browsing and searching personalized recommendation framework based on the use of ontology is described, where the advantages of ontology are exploited in different parts of the retrieval cycle including query - based relevance measures, semantic user preference representation and automatic update, and personalized result ranking. both the usage and information resources can be exploited to extract useful knowledge from the way users interact with a digital library. through combination and mapping between the extracted knowledge and domain ontology, semantic content retrieval between queries and documents can be utilized. furthermore, ontology - based conceptual vector of user preference can be applied in personalized recommendation feedback
為了提高數字圖書館信息服務的能力，描述了一個基於本體的用戶瀏覽和搜索個性化推薦系統框架.該框架將本體的優點應用於檢索周期中，包括提問相關測度、語義化的用戶興趣表達和自動更新、以及個性化的檢索結果排序等.在用戶訪問數字圖書館的交互過程中，可通過本體來構造用戶提問和文檔內容的匹配機制以實現語義化的內容檢索，並可進一步使用本體來構造用戶興趣偏好的概念向量以實現面向用戶的個性化推薦反饋分享友人