Information Retrieval 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Information Retrieval

簡體網頁||繁體網頁
Lalmas, Mounia; Van Rijsbergen, C. J.; Crestani, Fabio 作者
Springer
譯者
1998-10-31 出版日期
344 頁數
USD 285.00 價格
Hardcover
叢書系列
9780792383024 圖書編碼

Information Retrieval 在線電子書 圖書標籤: 信息檢索   


喜歡 Information Retrieval 在線電子書 的讀者還喜歡




點擊這裡下載
    


想要找書就要到 圖書目錄大全
立刻按 ctrl+D收藏本頁
你會得到大驚喜!!

發表於2024-12-25

Information Retrieval 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Information Retrieval 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Information Retrieval 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



Information Retrieval 在線電子書 用戶評價

評分

評分

評分

評分

評分

Information Retrieval 在線電子書 著者簡介


Information Retrieval 在線電子書 著者簡介


Information Retrieval 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Information Retrieval 在線電子書 圖書描述

In recent years, there have been several attempts to define a logic for information retrieval (IR). The aim was to provide a rich and uniform representation of information and its semantics with the goal of improving retrieval effectiveness. The basis of a logical model for IR is the assumption that queries and documents can be represented effectively by logical formulae. To retrieve a document, an IR system has to infer the formula representing the query from the formula representing the document. This logical interpretation of query and document emphasizes that relevance in IR is an inference process. The use of logic to build IR models enables one to obtain models that are more general than earlier well-known IR models. Indeed, some logical models are able to represent within a uniform framework various features of IR systems such as hypermedia links, multimedia data, and user's knowledge. Logic also provides a common approach to the integration of IR systems with logical database systems. Finally, logic makes it possible to reason about an IR model and its properties. This latter possibility is becoming increasingly more important since conventional evaluation methods, although good indicators of the effectiveness of IR systems, often give results which cannot be predicted, or for that matter satisfactorily explained. However, logic by itself cannot fully model IR. The success or the failure of the inference of the query formula from the document formula is not enough to model relevance in IR. It is necessary to take into account the uncertainty inherent in such an inference process. In 1986, Van Rijsbergen proposed the uncertainty logical principle to model relevance as an uncertain inference process. When proposing the principle, Van Rijsbergen was not specific about which logic and which uncertainty theory to use. As a consequence, various logics and uncertainty theories have been proposed and investigated. The choice of an appropriate logic and uncertainty mechanism has been a main research theme in logical IR modeling leading to a number of logical IR models over the years. Information Retrieval: Uncertainty and Logics contains a collection of exciting papers proposing, developing and implementing logical IR models. This book is appropriate for use as a text for a graduate-level course on Information Retrieval or Database Systems, and as a reference for researchers and practitioners in industry.

Information Retrieval 在線電子書 下載 mobi epub pdf txt 在線電子書下載


想要找書就要到 圖書目錄大全
立刻按 ctrl+D收藏本頁
你會得到大驚喜!!

Information Retrieval 在線電子書 讀後感

評分

評分

評分

評分

評分

類似圖書 點擊查看全場最低價

Information Retrieval 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


分享鏈接





Information Retrieval 在線電子書 相關圖書




本站所有內容均為互聯網搜索引擎提供的公開搜索信息,本站不存儲任何數據與內容,任何內容與數據均與本站無關,如有需要請聯繫相關搜索引擎包括但不限於百度google,bing,sogou

友情鏈接

© 2024 book.wenda123.org All Rights Reserved. 圖書目錄大全 版權所有