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Titlebook: Information Retrieval Technology; 15th Asia Informatio Fu Lee Wang,Haoran Xie,Xiaohui Tao Conference proceedings 2020 Springer Nature Switz

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发表于 2025-3-21 17:55:22 | 显示全部楼层 |阅读模式
书目名称Information Retrieval Technology
副标题15th Asia Informatio
编辑Fu Lee Wang,Haoran Xie,Xiaohui Tao
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Information Retrieval Technology; 15th Asia Informatio Fu Lee Wang,Haoran Xie,Xiaohui Tao Conference proceedings 2020 Springer Nature Switz
描述This book constitutes the refereed proceedings of the 15th Information Retrieval Technology Conference, AIRS 2019, held in Hong Kong, China, in November 2019..The 14 full papers presented together with 3 short papers were carefully reviewed and selected from 27 submissions. The scope of the conference covers applications, systems, technologies and theory aspects of information retrieval in text, audio, image, video and .multimedia data. .
出版日期Conference proceedings 2020
关键词information retrieval; document representation; content analysis and feature selection; ontologies; info
版次1
doihttps://doi.org/10.1007/978-3-030-42835-8
isbn_softcover978-3-030-42834-1
isbn_ebook978-3-030-42835-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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Conference proceedings 2020er 2019..The 14 full papers presented together with 3 short papers were carefully reviewed and selected from 27 submissions. The scope of the conference covers applications, systems, technologies and theory aspects of information retrieval in text, audio, image, video and .multimedia data. .
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Towards Automatic Evaluation of Reused Answers in Community Question Answeringo other questions ., where . serves as an answer to .. While previous work evaluated this task by manually annotating the relationship between . and ., this approach does not scale for large-scale CQA sites. We therefore explore an automatic evaluation method for reused answer retrieval, which compu
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Arc Loss: Softmax with Additive Angular Margin for Answer Retrievals (i.e., pairwise ranking loss) for a meaningful distributed representation. Triplet loss is widely used to push away a negative answer from a certain question in a feature space and leads to a better understanding of the relationship between questions and answers. However, triplet loss is inefficie
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Context-Aware Collaborative Rankingvide users high-quality personalized services. Collaborative filtering (CF) is a promising technique to ensure the accuracy of a recommender system, which can be divided into specific tasks such as rating prediction and item ranking. However, there is a larger volume of published works studying the
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