Xml Retrieval


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Advances in XML Information Retrieval and Evaluation


Advances in XML Information Retrieval and Evaluation

Author: Initiative for the Evaluation of XML Retrieval (Project). International Workshop

language: en

Publisher: Springer Science & Business Media

Release Date: 2006-06-27


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This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2005, held at Dagstuhl Castle, Germany, in November 2005. The book presents 41 revised full papers, organized in topical sections on methodology, multiple retrieval, ad-hoc retrieval, relevance feedback, natural language queries, and more heterogeneous retrieval, interactive retrieval, document mining, and multimedia retrieval.

Introduction to Information Retrieval


Introduction to Information Retrieval

Author: Christopher D. Manning

language: en

Publisher: Cambridge University Press

Release Date: 2008-07-07


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Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.

Understanding Information Retrieval Systems


Understanding Information Retrieval Systems

Author: Marcia J. Bates

language: en

Publisher: CRC Press

Release Date: 2011-12-20


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In order to be effective for their users, information retrieval (IR) systems should be adapted to the specific needs of particular environments. The huge and growing array of types of information retrieval systems in use today is on display in Understanding Information Retrieval Systems: Management, Types, and Standards, which addresses over 20 typ