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Titlebook: Information Retrieval Technology; 6th Asia Information Pu-Jen Cheng,Min-Yen Kan,Preslav Nakov Conference proceedings 2010 Springer Berlin H

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书目名称Information Retrieval Technology
副标题6th Asia Information
编辑Pu-Jen Cheng,Min-Yen Kan,Preslav Nakov
视频videohttp://file.papertrans.cn/466/465215/465215.mp4
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Information Retrieval Technology; 6th Asia Information Pu-Jen Cheng,Min-Yen Kan,Preslav Nakov Conference proceedings 2010 Springer Berlin H
描述The Asia Information Retrieval Societies Conference (AIRS) 2010 was the sixth conference in the AIRS series,aiming to bring together international researchers and developers to exchange new ideas and the latest results in information - trieval. The scope of the conference encompassed the theory and practice of all aspects of information retrieval in text, audio, image, video, and multimedia data. AIRS 2010 continued the conference series that grew from the Information Retrieval with Asian Languages (IRAL) workshop series, started in 1996. It has become a mature venue for information retrieval work, ?nding support from the ACM Special Interest Group on Information Retrieval (SIGIR); the Association for Computational Linguistics and Chinese Language Processing (ACLCLP); ROCLING; and the Information Processing Society of Japan, Special Interest GrouponInformationFundamentals andAccess Technologies(IPSJSIG-IFAT). This year saw a sharp rise in the number of submissions over the previous year. A total of 120 papers were submitted, representing work by academics and practitioners not only from Asia, but also from Australia, Europe, North America, etc. The high quality of the work made it
出版日期Conference proceedings 2010
关键词AES; algorithms; calculus; classification; clustering; cross-language IR; digital library; domain-specific
版次1
doihttps://doi.org/10.1007/978-3-642-17187-1
isbn_softcover978-3-642-17186-4
isbn_ebook978-3-642-17187-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Berlin Heidelberg 2010
The information of publication is updating

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Relevance Model Revisited: With Multiple Document Representations17.6% under rigid relevance judgment. In the second task, we established a ranking scheme in a faceted search session to sort the facets based on their corresponding relevance to the query. The result showed that our approach improved the baseline performance by roughly 100% in terms of MAP.
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Advanced Training Set Construction for Retrieval in Historic Documentss the most frequent rules. Experimental results with German and English texts from different centuries demonstrate the feasibility of our approach. Thus a training set can be constructed with much less initial effort.
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Mining YouTube to Discover Extremist Videos, Users and Hidden Communitiesta and hidden social networks which has implications in understanding extremism on Internet. We take a case study based approach and perform empirical validation of the proposed hypothesis. Our approach succeeded in finding hate videos which were validated manually.
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Investigating Characteristics of Non-click Behavior Using Query Logs-click behavior. There are significant differences between post-query actions of clicked and non-clicked queries. Users’ personal preference can also results in non-click behavior. Our findings have implications for separating queries which are handled well or not by search engines and are useful in user behavior reliability study.
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