Results 51 to 60 of about 250,954 (220)
Sensors, 2020 Billions of electric equipment are connected to Internet of Things (IoT)-based sensor networks, where they continuously generate a large volume of status information of assets. So, there is a need for state-aware information retrieval technology that can
Haesung Lee, Byungsung Lee
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An Intra-Class Ranking Metric for Remote Sensing Image Retrieval
Remote Sensing, 2023 With the rapid development of internet technology in recent years, the available remote sensing image data have also been growing rapidly, which has led to an increased demand for remote sensing image retrieval.
Pingping Liu +5 more
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Personalization by Relevance Ranking Feedback in Impression-based Retrieval for Multimedia Database [PDF]
Journal of Systemics, Cybernetics and Informatics, 2005 This paper proposes an approach to personalization by relevance `ranking' feedback in impression-based retrieval for a multimedia database. Impression-based retrieval is a kind of ambiguous retrieval, and it enables a database user to find not only a ...
Tsuyoshi TAKAYAMA +2 more
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Predicting Emerging Trends on Social Media by Modeling it as Temporal Bipartite Networks
IEEE Access, 2020 The behavior of peoples' request for a post on online social media is a stochastic process that makes post's ranking highly skewed in nature. We mean peoples interest for a post can grow/decay exponentially or linearly.
Asif Khan +6 more
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Selective Weak Supervision for Neural Information Retrieval [PDF]
The Web Conference, 2020 This paper democratizes neural information retrieval to scenarios where large scale relevance training signals are not available. We revisit the classic IR intuition that anchor-document relations approximate query-document relevance and propose a ...
Kaitao Zhang +3 more
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Your relevance feedback is essential: enhancing the learning to rank using the virtual feature based logistic regression. [PDF]
PLoS ONE, 2012 Information retrieval applications have to publish their output in the form of ranked lists. Such a requirement motivates researchers to develop methods that can automatically learn effective ranking models. Many existing methods usually perform analysis
Fei Cai +3 more
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Investigating the effectiveness of methodological elements in ranking the results based on their relevance and methodological validity [PDF]
Iranian Journal of Information Processing & Management, 2023 Introduction: The goal of evidence-based medicine is helping clinical professionals to obtain relevant and valid information to make appropriate clinical decisions.
Hajar Sotudeh +2 more
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The Quantum Probability Ranking Principle for Information Retrieval [PDF]
, 2009 While the Probability Ranking Principle for Information Retrieval provides the basis for formal models, it makes a very strong assumption regarding the dependence between documents. However, it has been observed that in real situations this assumption does not always hold.
Zuccon, Guido +2 more
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IEEE Access, 2021 The rapid growth in the number of scholarly documents on the Web and in other digital platforms makes it challenging for researchers to find research publications most relevant to their information needs.
Shah Khalid +4 more
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Automatic Ranking of Information Retrieval Systems
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018 Typical information retrieval system evaluation requires expensive manually-collected relevance judgments of documents, which are used to rank retrieval systems. Due to the high cost associated with collecting relevance judgments and the ever-growing scale of data to be searched in practice, ranking of retrieval systems using manual judgments is ...
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