relevance ranking 中文意思是什麼
relevance ranking
解釋
相關性排名-
It can dynamically determine the structure information need to index according to real query loads and opti mization of index. second, to consider the effects of structural information on result relevance ranking, this dissertation proposes a ranking algorithm that consider both the frequency distribution and structural distribution of keywords in the result, and a dynamic element - oriented method to compute the weight of keywords
第二，為考慮xml數據中的結構信息對查詢結果相關度值的影響，本文提出了一種綜合考慮關鍵字頻率分佈特徵和結構分佈特徵的查詢結果相關度演算法，以及一種基於節點的關鍵字權重計演算法，取得了更優的檢索性能。 -
To manage large - scale xml documents with complicated structure, this dissertation focus on the efficient structural indexing algorithm for xml data, result size estimation problem for xml structure based query optimization, result relevance ranking algorithm, and infrastructure for xml query processing for both text - rich and data - rich xml documents. to address the aforementioned issues, this dissertation makes the following contributions. first, it investigates the drawbacks of existing indexing algorithm for xml data, and propose a dynamic indexing algorithm for xml data based on d - bisimilarity, difx
為滿足結構復雜、大規模的xml數據管理需要，本文深入研究了xml信息檢索系統中的結構索引演算法設計和結構化查詢優化中的查詢代價估計問題，以及查詢結果和查詢條件間的相關度演算法，主要取得了4個方面的成果：第一，分析了已有的xml數據索引演算法中存在的問題，提出了一種高效的動態xml結構索引演算法difx ，它採用動態後向結構相似性（ d - bisimilarity ）的概念，可以根據實際查詢需求以及索引最優化的要求動態決定索引中保存的結構信息。 -
Earlier, he was director of product marketing for knight ridder information services in palo alto, california, where he directed development of one of the first commercially deployed online relevance ranking engines and menu - driven boolean search services for consumers
他在蘋果電腦前是加州palo alto的knight ridder information services的產品行銷主任，負責為消費者開發第一個商業化的線上相關性排名引擎，以及開發由功能表驅動的布林邏輯運算boolean搜尋服務。 -
This results in improved query performance since only the master index needs to be queried rather than a number of index fragments, and better scoring statistics may be used for relevance ranking
由於只需要查詢主索引而不需要查詢大量索引片斷，因此這將提高查詢性能，並且可以使用更好的計分統計信息來得出相關性排名。 -
Queries using freetexttable specify freetext - type full - text queries that return a relevance ranking value rank and full - text key for each row
使用freetexttable進行的查詢可以指定freetext類型的全文查詢，這些查詢為每行返回一個關聯等級值（ rank ）和全文鍵（ key ） 。 -
Xml information retrieval syslem differs greatly from traditional information retrieval system in the construction of both inverted text index and structural index, the evaluation of both keyword based query and structure based query, and the effects of structural information on result relevance ranking
Xml信息檢索系統與傳統的信息檢索系統不同，主要體現在：建立索引時不僅需要建立倒排文本索引，還需要建立結構信息索引；查詢處理時不僅需要處理關鍵字查詢條件，還需要處理結構化查詢條件。 -
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
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