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Titlebook: Information Retrieval Technology; 11th Asia Informatio Guido Zuccon,Shlomo Geva,Peng Zhang Conference proceedings 2015 Springer Internation

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发表于 2025-3-21 16:14:03 | 显示全部楼层 |阅读模式
书目名称Information Retrieval Technology
副标题11th Asia Informatio
编辑Guido Zuccon,Shlomo Geva,Peng Zhang
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Information Retrieval Technology; 11th Asia Informatio Guido Zuccon,Shlomo Geva,Peng Zhang Conference proceedings 2015 Springer Internation
描述.This book constitutes the refereed proceedings of the11th Information Retrieval Societies Conference, AIRS 2015, held in Brisbane,QLD, Australia, in December 2015...The 29 full papers presented together with 11 short anddemonstration papers, and the abstracts of 2 keynote lectures were carefullyreviewed and selected from 92 submissions. The final programme of AIRS 2015 isdivided in 10 tracks: Efficiency, Graphs, Knowledge Bases and Taxonomies,Recommendation, Twitter and Social Media, Web Search, Text Processing,Understanding and Categorization, Topics and Models, Clustering, Evaluation,and Social Media and Recommendation..
出版日期Conference proceedings 2015
关键词information retrieval; knowledge management systems; social media analysis; topic models; Web search; cla
版次1
doihttps://doi.org/10.1007/978-3-319-28940-3
isbn_softcover978-3-319-28939-7
isbn_ebook978-3-319-28940-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2015
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Conference proceedings 2015iewed and selected from 92 submissions. The final programme of AIRS 2015 isdivided in 10 tracks: Efficiency, Graphs, Knowledge Bases and Taxonomies,Recommendation, Twitter and Social Media, Web Search, Text Processing,Understanding and Categorization, Topics and Models, Clustering, Evaluation,and Social Media and Recommendation..
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A Keyword Recommendation Method Using CorKeD Words and Its Application to Earth Science Dataessary words in the calculation, we extract CorKeD (Corpus-based Keyword Decisive) words from a target domain corpus so that we can measure the similarity appropriately. We conduct an experiment on earth science data, and verify the effectiveness of extracting the CorKeD words, which are the terms that better characterize the domain.
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Knowledge-Based Query Expansion in Real-Time Microblog Searchroach can boost recent tweets in the retrieval results with respect to a given topic. Experimental results on two official TREC Twitter corpora demonstrate the significant superiority of our approach over baseline methods.
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Enrichment of Academic Search Engine Results Pages by Citation-Based Graphson relationship with them. We carefully considered the method of visualization and implemented a prototype with which we conducted a user study simulating scholarly surveys. We confirmed that our method improved the efficiency of scholarly surveys through the user study.
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