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Titlebook: Information Retrieval Architecture and Algorithms; Gerald Kowalski Textbook 2011 Springer Science+Business Media, LLC 2011 Clustering.Data

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發(fā)表于 2025-3-21 18:56:10 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Information Retrieval Architecture and Algorithms
編輯Gerald Kowalski
視頻videohttp://file.papertrans.cn/466/465197/465197.mp4
概述A first course text for advanced level courses, providing a survey of information retrieval system theory and architecture, complete with challenging exercises.Approaches information retrieval from a
圖書(shū)封面Titlebook: Information Retrieval Architecture and Algorithms; Gerald Kowalski Textbook 2011 Springer Science+Business Media, LLC 2011 Clustering.Data
描述.This text presents a theoretical and practical examination of the latest developments in Information Retrieval and their application to existing systems. By starting with a functional discussion of what is needed for an information system, the reader can grasp the scope of information retrieval problems and discover the tools to resolve them. The book takes a system approach to explore every functional processing step in a system from ingest of an item to be indexed to displaying results, showing how implementation decisions add to the information retrieval goal, and thus providing the user with the needed outcome, while minimizing their resources to obtain those results..The text stresses the current migration of information retrieval from just textual to multimedia, expounding upon multimedia search, retrieval and display, as well as classic and new textual techniques. It also introduces developments in hardware, and more importantly, search architectures, such as those introduced by Google, in order to approach scalability issues..About this textbook:.A first course text for advanced level courses, providing a survey of information retrieval system theory and architecture, comp
出版日期Textbook 2011
關(guān)鍵詞Clustering; Data Structures; Database Management Systems; Digital Libraries; Indexing; Information Retrie
版次1
doihttps://doi.org/10.1007/978-1-4419-7716-8
isbn_softcover978-1-4899-8216-2
isbn_ebook978-1-4419-7716-8
copyrightSpringer Science+Business Media, LLC 2011
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發(fā)表于 2025-3-21 23:37:38 | 只看該作者
Information Retrieval System Functions, to see the global architecture concerns. The precision and recall metrics are introduced early since they provide the basis behind explaining the impacts of algorithms and functions throughout the rest of the architecture discussion.
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發(fā)表于 2025-3-22 03:55:41 | 只看該作者
Search, relevant and which are not—use of relevance feedback. Searches against multimedia items either follow textual search similarity approaches or use proprietary algorithms based upon the specific indexing for the multimedia modality.
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發(fā)表于 2025-3-22 08:10:48 | 只看該作者
Document and Term Clustering,ems or to be used in visualization of search results. Clustering to a lesser extent can be applied to the words in items and can be used to generate automatically a statistical thesaurus. The major clustering techniques are described along with discussion on how to create hierarchical clusters.
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Search Architecture,l within the general area of scanning the text rather than using additional metadata structures to support search (e.g., indices). One of the most important architectures to impact searching was made commercial by GOOGLE. Their architecture approach is now one of the standard scalable approaches for searching very large data sets.
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troduced by Google, in order to approach scalability issues..About this textbook:.A first course text for advanced level courses, providing a survey of information retrieval system theory and architecture, comp978-1-4899-8216-2978-1-4419-7716-8
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