| 書(shū)目名稱(chēng) | Dynamic Information Retrieval Modeling | | 編輯 | Grace Hui Yang,Marc Sloan,Jun Wang | | 視頻video | http://file.papertrans.cn/284/283612/283612.mp4 | | 叢書(shū)名稱(chēng) | Synthesis Lectures on Information Concepts, Retrieval, and Services | | 圖書(shū)封面 |  | | 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 | | doi | https://doi.org/10.1007/978-3-031-02301-9 | | isbn_softcover | 978-3-031-01173-3 | | isbn_ebook | 978-3-031-02301-9Series ISSN 1947-945X Series E-ISSN 1947-9468 | | issn_series | 1947-945X | | copyright | Springer Nature Switzerland AG 2016 |
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