Learning to Rank for Educational Search Engines

IEEE Transactions on Learning Technologies(2021)

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摘要
In this digital age, there is an abundance of online educational materials in public and proprietary platforms. To allow effective retrieval of educational resources, it is a necessity to build keyword-based search engines over these collections. In modern Web search engines, high-quality rankings are obtained by applying machine learning techniques, known as learning to rank (LTR). In this articl...
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关键词
Search engines,Engines,Web search,Education,Context modeling,Task analysis,Feature extraction
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