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Titlebook: Dynamic Information Retrieval Modeling; Grace Hui Yang,Marc Sloan,Jun Wang Book 2016 Springer Nature Switzerland AG 2016

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書目名稱Dynamic Information Retrieval Modeling
編輯Grace Hui Yang,Marc Sloan,Jun Wang
視頻videohttp://file.papertrans.cn/284/283612/283612.mp4
叢書名稱Synthesis Lectures on Information Concepts, Retrieval, and Services
圖書封面Titlebook: Dynamic Information Retrieval Modeling;  Grace Hui Yang,Marc Sloan,Jun Wang Book 2016 Springer Nature Switzerland AG 2016
描述. Big data and human-computer information retrieval (HCIR) are changing IR. They capture the dynamic changes in the data and dynamic interactions of users with IR systems. A dynamic system is one which changes or adapts over time or a sequence of events. Many modern IR systems and data exhibit these characteristics which are largely ignored by conventional techniques. What is missing is an ability for the model to change over time and be responsive to stimulus. Documents, relevance, users and tasks all exhibit dynamic behavior that is captured in data sets typically collected over long time spans and models need to respond to these changes. Additionally, the size of modern datasets enforces limits on the amount of learning a system can achieve. Further to this, advances in IR interface, personalization and ad display demand models that can react to users in real time and in an intelligent, contextual way...In this book we provide a comprehensive and up-to-date introduction toDynamic Information Retrieval Modeling, the statistical modeling of IR systems that can adapt to change. We define .dynamics., what it means within the context of IR and highlight examples of problems where dyn
出版日期Book 2016
版次1
doihttps://doi.org/10.1007/978-3-031-02301-9
isbn_softcover978-3-031-01173-3
isbn_ebook978-3-031-02301-9Series ISSN 1947-945X Series E-ISSN 1947-9468
issn_series 1947-945X
copyrightSpringer Nature Switzerland AG 2016
The information of publication is updating

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Ursula M. Staudinger,Heinz H?fnerefensive materials. Moreover a complex and task-oriented search process is often time-sensitive. An ideal dynamic search evaluation metric should measure how well a search system allows the user to handle the trade-offs between time taken to search and how well the returned documents cover the different aspects of the information need.
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Dynamic IR for a Single Query,cuments, or optimal rankings of documents, for validation in a test set. A range of document, query, session and user features are typically used to train the classifier [163]. The learning to rank classification of relevance labels or regression of ranking scores fall broadly into three categories:
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Conclusion,Further to this, consideration is given on how to evaluate dynamic IR problems. In summary, dynamic IR is a useful categorization of existing and ongoing areas of research in IR and, through the frameworks and methods described in this book, a useful platform upon which to build future research.
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Bilder des Alters und des Alterns im Wandelc IR reflects the increasing complexity of search problems and the need for responsive solutions. In this chapter, each conceptual model is presented along with an associated framework for solving IR problems in that model, and a case study example application of the framework.
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