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Dynamic mechanism of eliminating COVID-19 vaccine hesitancy through web search [PDF]
Frontiers in Public Health, 2023 This research focuses on the research problem of eliminating COVID-19 vaccine hesitancy through web search. A dynamic model of eliminating COVID-19 vaccine hesitancy through web search is constructed based on the Logistic model, the elimination degree is
Yixue Xia +3 more
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Characterizing the Influence of Confirmation Bias on Web Search Behavior [PDF]
Frontiers in Psychology, 2021 In this study, we analyzed the relationship between confirmation bias, which causes people to preferentially view information that supports their opinions and beliefs, and web search behavior.
Masaki Suzuki, Yusuke Yamamoto
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Improving the Retrieval of Arabic Web Search Results Using Enhanced k-Means Clustering Algorithm [PDF]
Entropy, 2021 Traditional information retrieval systems return a ranked list of results to a user’s query. This list is often long, and the user cannot explore all the results retrieved. It is also ineffective for a highly ambiguous language such as Arabic. The modern
Amjad F. Alsuhaim +2 more
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Argument from Design in Richard Baxter's Natural Theology [PDF]
Вестник Православного Свято-Тихоновского гуманитарного университета: Серия I. Богословие, философия, 2017 The article deals with the teleological argument, or argument from design, as expounded by a famous English Protestant theologian Richard Baxter, one of the leading 17-th century English Puritans, in his work “The Reasons of the Christian Religion ...
Igor Koshelev
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Frontiers in Education, 2022 In recent decades, the acquisition of information has evolved substantially and fundamentally affects students’ use of information, so that the Internet has become one of the most important sources of information for learning.
Marie-Theres Nagel +2 more
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Tackling Dataset Bias With an Automated Collection of Real-World Samples
IEEE Access, 2022 The early 21st-century technological advancements tilted the scales towards data-driven learning. Thus, modern machine-learning systems rely heavily on data to learn complex models to efficiently provide relevant predictions. Data-driven learning suffers
Vasileios Sevetlidis +3 more
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Frontiers in Psychology, 2022 Using a Web search engine is one of today’s most frequent activities. Exploratory search activities which are carried out in order to gain knowledge are conceptualized and denoted as Search as Learning (SAL). In this paper, we introduce a novel framework
Johannes von Hoyer +14 more
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FE-TCM: Filter-Enhanced Transformer Click Model for Web Search
IEEE Access, 2023 Constructing click models and extracting implicit relevance feedback information from interaction between users and search engines are very important for improving the ranking of search results.
Yingfei Wang +5 more
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Direct Answers in Google Search Results
IEEE Access, 2020 This study aims to explore Google's new “featured snippet” (a direct answer that appears in web search results) to better understand the method of extracting and displaying such answers above regular ranked results.
Artur Strzelecki, Paulina Rutecka
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Web search of software developers—Characteristics and tips
Frontiers in Education, 2022 There is more and more software in the world and this software has to be developed. All the people who develop software can be regarded as software developers, not just the professionals.
B. Katalin Szabó, B. Katalin Szabó
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