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Titlebook: Advances in Information Retrieval; 26th European Confer Sharon McDonald,John Tait Conference proceedings 2004 Springer-Verlag Berlin Heidel

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發(fā)表于 2025-3-21 16:36:50 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Advances in Information Retrieval
期刊簡(jiǎn)稱26th European Confer
影響因子2023Sharon McDonald,John Tait
視頻videohttp://file.papertrans.cn/149/148346/148346.mp4
發(fā)行地址Includes supplementary material:
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Advances in Information Retrieval; 26th European Confer Sharon McDonald,John Tait Conference proceedings 2004 Springer-Verlag Berlin Heidel
影響因子Theseproceedingscontaintherefereedfulltechnicalpaperspresentedatthe26th Annual European Conference on Information Retrieval (ECIR 2004). ECIR is theannualconferenceoftheBritishComputerSociety’sspecialistgroupinInf- mation Retrieval. This year the conference was held at the School of Computing and Technology at the University of Sunderland. ECIR began life as the - nual Colloquium on Information Retrieval Research. The colloquium was held in the UK each year until 1998 when the event was held in Grenoble, France. Since then the conference venue has alternated between the United Kingdom and Continental Europe, and the event was renamed the European Conference on Information Retrieval. In recent years, ECIR has continued to grow and has become the major European forum for the discussion of research in the ?eld of Information Retrieval. To mark this metamorphosis from a small informal c- loquium to a major event in the IR research calendar, the BCS-IRSG decided to rename the event to the European Conference on Information Retrieval. ECIR2004received88fullpapersubmissions,fromacrossEuropeandfurther a?eldincludingNorthAmerica,ChinaandAustralia,atestamenttothegrowing popularity and reputa
Pindex Conference proceedings 2004
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地板
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https://doi.org/10.1007/978-3-642-72573-9e IR systems to retrieve sentences from given sentences. The corpus-based approach with dynamic thresholds outperforms direct retrieval approach. The average F-measure of relevance and novelty detection using Okapi system was 0.212 and 0.207, 57.14% and 58.64% of human performance, respectively.
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發(fā)表于 2025-3-22 14:06:50 | 只看該作者
A. Zapletal,M. Mi?úr,M. ?amanek,V. ?pi?ák with the average precision and with the increase of average precision under the application of QE. The second measure is used to selectively apply QE. This method achieves a performance similar to that with unexpanded method on the worst topics, and better performance than full QE on the whole set of topics.
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https://doi.org/10.1007/978-3-662-63874-3ve neural models, the results are consistent and demonstrate that our robust hybrid neural approach is able to improve classification accuracy and reduce the average quantization error on 100,000 full-text articles.
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0302-9743 mation Retrieval (ECIR 2004). ECIR is theannualconferenceoftheBritishComputerSociety’sspecialistgroupinInf- mation Retrieval. This year the conference was held at the School of Computing and Technology at the University of Sunderland. ECIR began life as the - nual Colloquium on Information Retrieval
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Abgrenzung zu anderen Erkrankungen documents. In a similar fashion to other research papers on document clustering, we analyze the quality of this approach with respect to document categorization problems and show it to outperform the information theoretic method of sequential information bottleneck.
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