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Titlebook: Information Retrieval Technology; 5th Asia Information Gary Geunbae Lee,Dawei Song,Tetsuya Sakai Conference proceedings 2009 Springer-Verla

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书目名称Information Retrieval Technology
副标题5th Asia Information
编辑Gary Geunbae Lee,Dawei Song,Tetsuya Sakai
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Information Retrieval Technology; 5th Asia Information Gary Geunbae Lee,Dawei Song,Tetsuya Sakai Conference proceedings 2009 Springer-Verla
描述This book constitutes the refereed proceedings of the 5th Asia Information Retrieval Symposium, AIRS 2009, held in Sapporo, Japan, in October 2009. The 18 revised full papers and 20 revised poster papers presented were carefully reviewed and selected from 82 submissions. All current aspects of information retrieval - in theory and practice - are addressed; working with text, audio, image, video and multimedia data.
出版日期Conference proceedings 2009
关键词Information Retrieval; Latent Semantic Analysis; Mapping; Matching; Suchmaschinen; association rules; calc
版次1
doihttps://doi.org/10.1007/978-3-642-04769-5
isbn_softcover978-3-642-04768-8
isbn_ebook978-3-642-04769-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2009
The information of publication is updating

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Nicholas Ring,Alexandra L. Uitdenbogerdh focuses on real estate capital market financing, bank funding, and unconventional monetary policy. Prior to his current roles, he worked for a bulge bracket investment bank, advising financial institutions on their M&A- and capital market activities..978-3-658-21522-4978-3-658-20975-9Series ISSN 2570-2246 Series E-ISSN 2570-2254
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A Latent Dirichlet Framework for Relevance Modelingps between documents and given topics (queries). Thus unlike standard LDA, our model is directly applicable to goals such as relevance feedback for query modification and text classification, where topics (classes and queries) are provided upfront. Thus although the focus of our paper is on improvin
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Test Collection-Based IR Evaluation Needs Extension toward Sessions – A Case of Extremely Short Quert collection. This finding motivates the observed real user behavior: as few very simple attempts normally lead to good enough results, there is no need to pay more effort. We conclude by discussing the consequences of our finding for IR evaluation.
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A Subword Normalized Cut Approach to Automatic Story Segmentation of Chinese Broadcast Newsbest F1-measure of 0.6911 with relative improvement of 11.52% over previous word-based N-cut that has an F1-measure of 0.6197. N-cut at the subword levels is more effective than the word level for story segmentation of noisy Chinese BN transcripts.
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Language Models of Collaborative Filteringting the generative language modelling approach of text retrieval. Secondly, to address the uncertainty associated with the score estimation, we introduce a . model that penalizes the less reliable scores. Our experiments on real data sets demonstrate that significant performance gains have been ach
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