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Titlebook: Interactive IR User Study Design, Evaluation, and Reporting; Jiqun Liu,Chirag Shah Book 2019 Springer Nature Switzerland AG 2019

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發(fā)表于 2025-3-21 16:51:20 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Interactive IR User Study Design, Evaluation, and Reporting
編輯Jiqun Liu,Chirag Shah
視頻videohttp://file.papertrans.cn/471/470505/470505.mp4
叢書名稱Synthesis Lectures on Information Concepts, Retrieval, and Services
圖書封面Titlebook: Interactive IR User Study Design, Evaluation, and Reporting;  Jiqun Liu,Chirag Shah Book 2019 Springer Nature Switzerland AG 2019
描述Since user study design has been widely applied in search interactions and information retrieval (IR) systems evaluation studies, a deep reflection and meta-evaluation of interactive IR (IIR) user studies is critical for sharpening the instruments of IIR research and improving the reliability and validity of the conclusions drawn from IIR user studies. To this end, we developed a faceted framework for supporting user study design, reporting, and evaluation based on a systematic review of the state-of-the-art IIR research papers recently published in several top IR venues (n=462). Within the framework, we identify three major types of research focuses, extract and summarize facet values from specific cases, and highlight the under-reported user study components which may significantly affect the results of research. Then, we employ the faceted framework in evaluating a series of IIR user studies against their respective research questions and explain the roles and impacts of the underlying connections and "collaborations" among different facet values. Through bridging diverse combinations of facet values with the study design decisions made for addressing research problems, the face
出版日期Book 2019
版次1
doihttps://doi.org/10.1007/978-3-031-02319-4
isbn_softcover978-3-031-01191-7
isbn_ebook978-3-031-02319-4Series ISSN 1947-945X Series E-ISSN 1947-9468
issn_series 1947-945X
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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發(fā)表于 2025-3-21 21:17:06 | 只看該作者
Interactive IR User Study Design, Evaluation, and Reporting
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1947-945X ng different facet values. Through bridging diverse combinations of facet values with the study design decisions made for addressing research problems, the face978-3-031-01191-7978-3-031-02319-4Series ISSN 1947-945X Series E-ISSN 1947-9468
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on. The integration of fundamental method optimization with GPU parallel computing consistently improves encryption efficiency. Our encryption algorithm consistently outperforms the CUDA-based SM4 algorithm for large volumes of data, especially beyond 30 MB. With a data volume of 1 KB, our improved
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Jiqun Liu,Chirag Shahtures as edge features instead of node features within one task, allowing each transaction to be streamed in 2DynEthNet, aiming to capture the evolutionary features of the Ethereum transaction network at a fine-grained level in continuous time. ., we adopt the strategy of incremental information tra
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發(fā)表于 2025-3-22 17:48:55 | 只看該作者
Jiqun Liu,Chirag Shahelational blockchain transaction graphs. Theoretical analysis and experimental results on datasets from multiple blockchain platforms demonstrate that TRacer can perform transaction tracking tasks more efficiently at lower costs and achieve better tracking results compared to existing methods or eve
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發(fā)表于 2025-3-23 00:26:28 | 只看該作者
Jiqun Liu,Chirag Shah aggregations. Specifically, BPA-GNN consists of three main modules including bi-path neighbor sampling, separated neighborhood aggregation, and attention-based node representation learning. Comprehensive experiments on a real Ethereum transaction dataset demonstrate the state-of-the-art performance
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